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Paper Citation Record · LEDGER

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification

As of 22 August 2026, this Paper Citation Record lists 100 of 126 outbound references and 0 inbound Pith citation observations for arXiv:2507.21703.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2507.21703 v1

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measured 100 of 126 reference resolution

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Reference resolution

100 of 126 outbound references displayed

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Outbound references

Observation 93620048-eed9-4166-b071-577217ee3673 · outbound

This paper cites Implementation of an anonymi- sation tool for clinical trials using a clinical trial proces- sor integrated with an existing trial patient data information system.

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification Implementation of an anonymi- sation tool for clinical trials using a clinical trial proces- sor integrated with an existing trial patient data information system

Reference 1

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Observation b959ae91-6ba2-4b13-8205-c5ec087f7bd8 · outbound

This paper cites End-to-end Optimized Image Compression.

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification End-to-end Optimized Image Compression

Reference 2

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Observation 47755700-f787-4403-9145-610924fb0a74 · outbound

This paper cites Variational image compression with a scale hyperprior.

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification Variational image compression with a scale hyperprior

Reference 3

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Observation c0164377-fb30-4001-b885-2c245459359e · outbound

This paper cites The min- imum description length principle in coding and model- ing.

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification The min- imum description length principle in coding and model- ing

Reference 4

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Observation 08398430-bc92-480c-9fdb-bf3d0617f61f · outbound

This paper cites Rate-distortion theory.

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification Rate-distortion theory

Reference 5

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Observation 67ce5f40-cae8-403f-b1db-155ecc2a28ba · outbound

This paper cites Digi- tal ocular fundus imaging: a review.

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification Digi- tal ocular fundus imaging: a review

Reference 6

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This paper cites Optimizing the dice score and jaccard in- dex for medical image segmentation: Theory and prac- tice.

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification Optimizing the dice score and jaccard in- dex for medical image segmentation: Theory and prac- tice

Reference 7

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Observation 8a3d696e-d39e-42d6-8fca-cf2d85e5ff64 · outbound

This paper cites Discriminative kernel convolution network for multi-label ophthalmic disease detection on imbalanced fundus image dataset.

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification Discriminative kernel convolution network for multi-label ophthalmic disease detection on imbalanced fundus image dataset

Reference 8

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Observation e4694e4d-bb07-42db-a80c-23ed097b4516 · outbound

This paper cites The tao of inference in privacy-protected databases.

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification The tao of inference in privacy-protected databases

Reference 9

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This paper cites The relation be- tween the roc curve and the cmc.

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification The relation be- tween the roc curve and the cmc

Reference 10

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Observation 52908061-28dd-4328-a7b2-2a6486d811a8 · outbound

This paper cites The use of the area under the roc curve in the evaluation of machine learning algorithms.

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification The use of the area under the roc curve in the evaluation of machine learning algorithms

Reference 11

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Observation fd04726e-77c5-452d-b33e-e3088843fd5e · outbound

This paper cites Personalized and invertible face de-identification by disen- tangled identity information manipulation.

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification Personalized and invertible face de-identification by disen- tangled identity information manipulation

Reference 12

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Observation 5ab950e7-fb82-47b6-9478-ca06d2386ff7 · outbound

This paper cites Crossvit: Cross-attention multi-scale vision transformer for image classification.

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification Crossvit: Cross-attention multi-scale vision transformer for image classification

Reference 13

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This paper cites Infogan: Interpretable rep- resentation learning by information maximizing generative adversarial nets.

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification Infogan: Interpretable rep- resentation learning by information maximizing generative adversarial nets

Reference 14

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Observation 40e44128-6c0b-41ec-bfcc-5ca966ea02fd · outbound

This paper cites Generative ai in medical practice: in-depth exploration of privacy and se- curity challenges.

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification Generative ai in medical practice: in-depth exploration of privacy and se- curity challenges

Reference 15

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Observation e817448e-f4d8-42ea-a297-bd4ed0e4fe2b · outbound

This paper cites Gaia: Rethinking action quality as- sessment for ai-generated videos.

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification Gaia: Rethinking action quality as- sessment for ai-generated videos

Reference 16

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Observation afd9d3cf-8015-4995-a6b9-15b435210322 · outbound

This paper cites Learned image compression with discretized gaus- sian mixture likelihoods and attention modules.

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification Learned image compression with discretized gaus- sian mixture likelihoods and attention modules

Reference 17

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Observation 518d9ce1-b57d-4ccd-bd04-edbb91655667 · outbound

This paper cites Big data, big tech, and protecting patient privacy.

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification Big data, big tech, and protecting patient privacy

Reference 18

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Observation f403957a-d758-4a16-b041-1c5779143b63 · outbound

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Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification Elements of information theory

Reference 19

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Observation bc393059-50d8-4867-b5e0-84a440157204 · outbound

This paper cites Obfusca- tion of images via differential privacy: From facial images to general images.

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification Obfusca- tion of images via differential privacy: From facial images to general images

Reference 20

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Observation ad3be0fe-500c-444e-a5e4-32e1a4987b49 · outbound

This paper cites Towards privacy-preserving recognition of human activities.

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification Towards privacy-preserving recognition of human activities

Reference 21

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Observation 4633bbb7-c8f0-40c9-a7f7-a975e5fafa80 · outbound

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Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification Imagenet: A large-scale hierarchical im- age database

Reference 22

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Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification Arcface: Additive angular margin loss for deep face recognition

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Observation 77ed6b4b-8e8d-4d99-803a-716c05f4d6d0 · outbound

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Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification Disentangled and controllable face image genera- tion via 3d imitative-contrastive learning

Reference 24

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Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification An im- age is worth 16x16 words: Transformers for image recog- nition at scale

Reference 25

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Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification Di- abetic retinopathy detection

Reference 26

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This paper cites Overcoming barriers to data sharing with med- ical image generation: a comprehensive evaluation.

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification Overcoming barriers to data sharing with med- ical image generation: a comprehensive evaluation

Reference 27

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Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification Differential privacy

Reference 28

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This paper cites A deep-learning-based framework for identify- ing and localizing multiple abnormalities and assessing car- diomegaly in chest x-ray.

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification A deep-learning-based framework for identify- ing and localizing multiple abnormalities and assessing car- diomegaly in chest x-ray

Reference 29

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This paper cites REFUGE2 Challenge: A Treasure Trove for Multi-Dimension Analysis and Evaluation in Glaucoma Screening.

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification REFUGE2 Challenge: A Treasure Trove for Multi-Dimension Analysis and Evaluation in Glaucoma Screening

Reference 30

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Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification Freesurfer

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This paper cites Deepfixcx: Explainable privacy- preserving image compression for medical image analysis.

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification Deepfixcx: Explainable privacy- preserving image compression for medical image analysis

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Observation ca3bf7db-a033-4e2d-874e-f604314709a0 · outbound

This paper cites pydeface: A tool to remove facial features from mri images, 2012.

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification pydeface: A tool to remove facial features from mri images, 2012

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Observation 0cb3b7e8-9183-4afb-979f-42168d11daec · outbound

This paper cites The minimum description length princi- ple.

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification The minimum description length princi- ple

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Observation 2dd835f6-b9ac-42a0-9b43-6b8e1dd922fe · outbound

This paper cites Password-conditioned anonymization and deanonymiza- tion with face identity transformers.

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification Password-conditioned anonymization and deanonymiza- tion with face identity transformers

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Observation a0e15623-1b14-4083-9ddb-b99fe41fe2dc · outbound

This paper cites Anatomy-based registration of ct-scan and intraoperative x-ray images for guiding a sur- gical robot.

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification Anatomy-based registration of ct-scan and intraoperative x-ray images for guiding a sur- gical robot

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source=pdf_text observed=2026-08-15T18:07:44.610485Z digest=sha256:8ba7bc674166063cc15d8c4e82dd1714ac965dcf45ff275ed45f7bcae09b789c

Observation 19ba491a-969d-4d7d-997e-51bc5a6f3e92 · outbound

This paper cites Deep residual learning for image recognition.

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification Deep residual learning for image recognition

Reference 37

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source=pdf_text observed=2026-08-15T18:07:44.613605Z digest=sha256:72f6fd4f7b2c493729cbcc02e32daad0dbbfe469a160cf4496b1cd63fcf2f565

Observation 33a0c9a5-147c-4024-b4b6-b22748c8b6d8 · outbound

This paper cites Masked autoencoders are scal- able vision learners.

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification Masked autoencoders are scal- able vision learners

Reference 38

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source=pdf_text observed=2026-08-15T18:07:44.616883Z digest=sha256:b0391e251e414ac0ced4d13577e61fc6089dd5456333ec972a421ded08d1f7da

Observation ba4fbd56-1678-4f2d-a418-36900829cc76 · outbound

This paper cites Transreid: Transformer-based object re- identification.

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification Transreid: Transformer-based object re- identification

Reference 39

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source=pdf_text observed=2026-08-15T18:07:44.620370Z digest=sha256:60bf20ef7fac2fd2b48faa0ce348dbc6661f1866269e0387575a1cacc94c8b6f

Observation 5324814f-cdce-4b2d-9c76-f2ddb184643c · outbound

This paper cites In Defense of the Triplet Loss for Person Re-Identification.

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification In Defense of the Triplet Loss for Person Re-Identification

Reference 40

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:07:44.623957Z digest=sha256:55a2705f03b2f78314c984d97ca6f20dd0862d6a0b067dbbe560a7aa29126594

Observation 23d3028d-00d7-4177-a9d9-b8eaa891456b · outbound

This paper cites beta-vae: Learning ba- sic visual concepts with a constrained variational frame- work.

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification beta-vae: Learning ba- sic visual concepts with a constrained variational frame- work

Reference 41

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no resolver link, observed 2026-08-15T18:07:44.627798Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T18:07:44.627798Z digest=sha256:f8c5e78f1987b3ef8ae958971216c74676e14c0e305e975b84895af252080f58

Observation 46412983-6fc5-48c1-ac52-a49eaf7cc54e · outbound

This paper cites On the (in) effectiveness of mosaicing and blur- ring as tools for document redaction.

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification On the (in) effectiveness of mosaicing and blur- ring as tools for document redaction

Reference 42

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no resolver link, observed 2026-08-15T18:07:44.630906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:07:44.630906Z digest=sha256:a3b003a6cb489fdf687e1dc9c8cb2aa8805d880b1df4124154420c5ace99ee33

Observation ca5638bf-08c1-4d1f-b686-811e23a6e31f · outbound

This paper cites Denoising dif- fusion probabilistic models.

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification Denoising dif- fusion probabilistic models

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-15T18:07:44.634367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:07:44.634367Z digest=sha256:9c2c486c715d755eacb28adc71902dd5565be730c34552d34dd6e65342ccbb57

Observation 7f9f2e40-67b4-4561-a866-101d71e49481 · outbound

This paper cites 3d-stylegan: A style-based genera- tive adversarial network for generative modeling of three- dimensional medical images.

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification 3d-stylegan: A style-based genera- tive adversarial network for generative modeling of three- dimensional medical images

Reference 44

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no resolver link, observed 2026-08-15T18:07:44.637517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:07:44.637517Z digest=sha256:29a4ec6057794e4d41a68b40e0727303302dea77f826d427f1b14afe05ef64a3

Observation 6aee7be8-447f-4926-8ca8-889fe6274190 · outbound

This paper cites Synthstrip: skull-stripping for any brain image.

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification Synthstrip: skull-stripping for any brain image

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-15T18:07:44.640696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:07:44.640696Z digest=sha256:872d1936cc3b08f53e9713a8b67459578f76075e7f084df870e24659c47a11f0

Observation 5879631a-e26b-4bc6-b65b-c5ebd7b44b8f · outbound

This paper cites VARFVV: View-Adaptive Real-Time Interactive Free-View Video Streaming with Edge Computing.

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification VARFVV: View-Adaptive Real-Time Interactive Free-View Video Streaming with Edge Computing

Reference 46

Resolution
verified exact
local_arxiv, observed 2026-08-15T18:07:45.222358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T18:07:44.643758Z digest=sha256:414e1f50dbd63f7bbfac2811998a00f885eb345625a778c73ae6c6398e552f24

Observation 3fe2384d-9088-4c45-90f0-5d3d87906b65 · outbound

This paper cites 4dgc: Rate-aware 4d gaussian compression for ef- ficient streamable free-viewpoint video.

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification 4dgc: Rate-aware 4d gaussian compression for ef- ficient streamable free-viewpoint video

Reference 47

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unresolved
no resolver link, observed 2026-08-15T18:07:44.647356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:07:44.647356Z digest=sha256:e5f9c4359fb8be7b97d5799590ca5c8a617cff033f25a53897fcdb25e2046e19

Observation adc81e1a-ec63-4aa8-a142-2e4874fccffd · outbound

This paper cites Vrvvc: Variable-rate nerf-based volumetric video compression.

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification Vrvvc: Variable-rate nerf-based volumetric video compression

Reference 48

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no resolver link, observed 2026-08-15T18:07:44.650381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:07:44.650381Z digest=sha256:72fe9b1ced60900da7ddee5f744b31b753afc53bb9ff307540114de1af4330ff

Observation 2c42fd6f-54a6-4a65-8ed8-3ffd9d0f8f9b · outbound

This paper cites Chest-diffusion: a light- weight text-to-image model for report-to-cxr generation.

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification Chest-diffusion: a light- weight text-to-image model for report-to-cxr generation

Reference 49

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no resolver link, observed 2026-08-15T18:07:44.653627Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T18:07:44.653627Z digest=sha256:539249a4df14f0080415fe1ef37ac96ba8e1c304ca1dd2e97be162fea08fab94

Observation 2a9ff32e-6ed3-47b0-9c2a-0c64f0f34d7f · outbound

This paper cites nnu-net: a self- configuring method for deep learning-based biomedical im- age segmentation.

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification nnu-net: a self- configuring method for deep learning-based biomedical im- age segmentation

Reference 50

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no resolver link, observed 2026-08-15T18:07:44.656695Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T18:07:44.656695Z digest=sha256:578410d6b8b149ba1413dd8295e2cfee116f2f198e7fd38e1463ee7d8ac96697

Observation f8f8c5bb-3411-44b1-8710-c8d22bd4f0b2 · outbound

This paper cites Categorical Reparameterization with Gumbel-Softmax.

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification Categorical Reparameterization with Gumbel-Softmax

Reference 51

Resolution
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no resolver link, observed 2026-08-15T18:07:44.659935Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T18:07:44.659935Z digest=sha256:206812ccc94e8aaf13a58479efd11696b26c089d2111a5e10d688ea5565c0ba2

Observation cd28915b-1f38-4440-83cf-a042dbfbfce5 · outbound

This paper cites Mimic-cxr, a de- identified publicly available database of chest radiographs with free-text reports.

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification Mimic-cxr, a de- identified publicly available database of chest radiographs with free-text reports

Reference 52

Resolution
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no resolver link, observed 2026-08-15T18:07:44.663282Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T18:07:44.663282Z digest=sha256:47a224a5593fbb8664d3e3ecff9d2b51369d5385399d476f31a84d23cae1a377

Observation 1eb9c9c3-9e3f-4f6f-8e4f-c5badac3c546 · outbound

This paper cites Secure, privacy-preserving and fed- erated machine learning in medical imaging.

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification Secure, privacy-preserving and fed- erated machine learning in medical imaging

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:07:45.906898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T18:07:44.666267Z digest=sha256:bc49047e414cb7990db78362961ad3966bfb2510b8cc0387ec164d6d9016a7f8

Observation 97995fdc-123b-4294-b686-139f153c1fda · outbound

This paper cites A style-based generator architecture for generative adversarial networks.

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification A style-based generator architecture for generative adversarial networks

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-15T18:07:44.669525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:07:44.669525Z digest=sha256:7751ec6376becd44f86238645987940e6fb8cf1185087eb83f5544a77437de72

Observation 0ae3856d-2a49-496a-a345-c274f7806afb · outbound

This paper cites Analyzing and im- proving the image quality of stylegan.

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification Analyzing and im- proving the image quality of stylegan

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:07:45.890357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T18:07:44.672772Z digest=sha256:bedc607c6adf61720478a9a95ff0d84b629905c26af2f2036b65c272fa49c796

Observation 5f292d6b-2d32-4028-92fc-f3e68b429ecb · outbound

This paper cites Privacy-net: an adversarial approach for identity-obfuscated segmentation of medical images.

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification Privacy-net: an adversarial approach for identity-obfuscated segmentation of medical images

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:07:45.880629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T18:07:44.675923Z digest=sha256:96a2e3346d30aeb425c628093d294a0c9e22320317e2f4547d923d892ee3461e

Observation c031b8b5-f4fe-40e0-a250-56a1a4f53755 · outbound

This paper cites Patient privacy, pho- tographs, and publication.

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification Patient privacy, pho- tographs, and publication

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:07:45.870353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T18:07:44.679285Z digest=sha256:a219ae0df64e81ee57ec758bc7a62669fb9815aa6dbe8f7639cbad79d57a3d50

Observation 844c6940-8cc3-4f88-bf7e-1bcd01174d0f · outbound

This paper cites A novel cloud- assisted secure deep feature classification framework for cancer histopathology images.

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification A novel cloud- assisted secure deep feature classification framework for cancer histopathology images

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:07:45.860462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T18:07:44.682244Z digest=sha256:e3c59ca1d8c6d649497bd56844415fc3f429e143c2cbb4f3a8b6f1bbd02cade1

Observation 85a77376-00c7-4864-8136-97dab12892a9 · outbound

This paper cites Cxr-llava: a multimodal large language model for interpreting chest x-ray images.

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification Cxr-llava: a multimodal large language model for interpreting chest x-ray images

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:07:45.850618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T18:07:44.685698Z digest=sha256:ffed39592a3399e18b12b6e2f9710916e16db45cda0734eaaf1912b5c763da72

Observation a64a39da-519e-4153-aab4-993f0eaf4292 · outbound

This paper cites Agiqa-3k: An open database for ai-generated image quality assessment.

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification Agiqa-3k: An open database for ai-generated image quality assessment

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:07:45.840346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T18:07:44.689005Z digest=sha256:457531660ca5d74d3e8d95fee017d718530f05002cb9f243dd4e9769a727dc56

Observation a780682b-f227-45a8-8ca1-355027d93ad6 · outbound

This paper cites Information Density Principle for MLLM Benchmarks.

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification Information Density Principle for MLLM Benchmarks

Reference 61

Resolution
verified exact
local_arxiv, observed 2026-08-15T18:07:45.197768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T18:07:44.692139Z digest=sha256:33249fe25fdf3f0f280883c87574cbac8f86b5d271c9fbdc17bd04cc3ef78dd7

Observation d0467f99-00e9-4678-8e90-0df692e67fd3 · outbound

This paper cites Image quality assessment: From human to machine preference.

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification Image quality assessment: From human to machine preference

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:07:45.830272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T18:07:44.695434Z digest=sha256:a7c0dd04969038947d004479012129b1572420cfa5a3aa63c0d9097ad5245042

Observation aa28f5c8-6748-44af-8213-4b35a821d9b4 · outbound

This paper cites Perceptual quality assessment for embodied ai.

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification Perceptual quality assessment for embodied ai

Reference 63

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no resolver link, observed 2026-08-15T18:07:44.698684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:07:44.698684Z digest=sha256:3cb5ad1ae7225bf45dfbf07e346d04b0ff51da4dafa8ba7b581fdd74d2574df3

Observation 25556285-8a32-44dc-b681-6170422fed2c · outbound

This paper cites Mixnmatch: Multifactor disentanglement and encoding for conditional image generation.

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification Mixnmatch: Multifactor disentanglement and encoding for conditional image generation

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:07:45.820024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T18:07:44.702065Z digest=sha256:9efb2b06cd530e784482d08fc6f45a3b0bb8823f207a9cbd369d0763b0fd35a5

Observation 36177ad0-3a52-4b82-a3fe-7c853756ab46 · outbound

This paper cites A structure-aware relation network for thoracic diseases detection and segmentation.

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification A structure-aware relation network for thoracic diseases detection and segmentation

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:07:45.810284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T18:07:44.705639Z digest=sha256:115fdefa01b85d440404c2f29eac02ed76f1c42c6e81ff1ecabfab698fda1f4f

Observation 6d29a914-6a57-4ef4-8ae0-388359704a68 · outbound

This paper cites Adaptive downsampling to improve image compression at low bit rates.

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification Adaptive downsampling to improve image compression at low bit rates

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:07:45.800556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T18:07:44.709802Z digest=sha256:cf5d8eab90433cf06513e439b24f7ac9048a56640ce445c021271b07823a6a5c

Observation b19cace7-42c5-4e91-949c-f5d84a62a754 · outbound

This paper cites Decoupled Weight Decay Regularization.

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification Decoupled Weight Decay Regularization

Reference 67

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no resolver link, observed 2026-08-15T18:07:44.713386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:07:44.713386Z digest=sha256:56f9e3a9ede1f20c697cc77fb9be07a3ebee360ce28c60aad711f75b94e8c0fe

Observation ec5bb646-ff5d-4dae-902f-40e6899ae9a2 · outbound

This paper cites SGDR: Stochastic Gradient Descent with Warm Restarts.

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification SGDR: Stochastic Gradient Descent with Warm Restarts

Reference 68

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no resolver link, observed 2026-08-15T18:07:44.716410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:07:44.716410Z digest=sha256:c33298d1f254d9c09f1718bccbd983d59bebe9cedb3e15f7344a2a6680329daa

Observation d6b83d43-4c46-460b-8622-2daa2b0c6cfa · outbound

This paper cites Introduction to continuous entropy.

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification Introduction to continuous entropy

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:07:45.790998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T18:07:44.720350Z digest=sha256:f970ad13bbdf784b11d4680f34769679ff69b4d82f65edd0c518a6a7304b7de9

Observation 6e36128f-d521-48b6-a189-8e55a4a239a2 · outbound

This paper cites Cia- gan: Conditional identity anonymization generative adver- sarial networks.

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification Cia- gan: Conditional identity anonymization generative adver- sarial networks

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:07:45.781205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T18:07:44.724990Z digest=sha256:18a692a758dd451666eb0481c955fcd8940f1af2b5c6b53db2c34cd9317807b9

Observation 01cb3763-5572-4b46-b0e6-aa4ad62c0583 · outbound

This paper cites Conditional probabil- ity models for deep image compression.

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification Conditional probabil- ity models for deep image compression

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:07:45.770786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T18:07:44.728396Z digest=sha256:3d605b7209792bda86f7203e21c472f15f29d28426fbea597f6e09d13e5b910a

Observation a2e43e48-def5-4fc7-820a-06344182bf8f · outbound

This paper cites Finite Scalar Quantization: VQ-VAE Made Simple.

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification Finite Scalar Quantization: VQ-VAE Made Simple

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-15T18:07:44.731616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:07:44.731616Z digest=sha256:d89258aa8a8ac7281e9ba4df2cb11814684933cf2136d9627e02ba39c2b93f56

Observation 8d5be6e9-6e3c-4bd8-a66c-e8b298763b30 · outbound

This paper cites Joint autoregressive and hierarchical priors for learned im- age compression.

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification Joint autoregressive and hierarchical priors for learned im- age compression

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:07:45.760387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T18:07:44.735452Z digest=sha256:6b0168795a971d86043b2ca0e599cd0f972cffc37537978e164d3f67a45ef767

Observation 8fa18bd0-39c8-4d4d-b084-1b191c922f78 · outbound

This paper cites A de-identification pipeline for ultrasound medical images in dicom format.

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification A de-identification pipeline for ultrasound medical images in dicom format

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:07:45.749684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T18:07:44.738679Z digest=sha256:028c5f6de9e75cac0bb1cd1bb30ae97ef016d08450ca50d1a800d1e07703d500

Observation 7ca5331a-8b59-4903-86dd-904288adcd02 · outbound

This paper cites Foundation models for generalist medical artificial intelligence.

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification Foundation models for generalist medical artificial intelligence

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:07:45.739660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T18:07:44.742879Z digest=sha256:b4d3767454696bf4663fa25ffa1ae94330adfafe524949a80106ef396089a3fb

Observation 6cb0ae4f-5903-434d-89b5-1fed0283cb5c · outbound

This paper cites Context-guided spatial feature recon- struction for efficient semantic segmentation.

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification Context-guided spatial feature recon- struction for efficient semantic segmentation

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:07:45.729458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T18:07:44.746213Z digest=sha256:e79a96322fca8f9e840b12095d7f7e5bc65698468bb183c4ee635bde02c4cec0

Observation 084274b9-79f2-48a3-b3a5-65b7ed961f37 · outbound

This paper cites Deep learning-based patient re-identification is able to ex- ploit the biometric nature of medical chest x-ray data.

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification Deep learning-based patient re-identification is able to ex- ploit the biometric nature of medical chest x-ray data

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:07:45.718884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T18:07:44.749613Z digest=sha256:1a65ee943339d5dab0d3cb4a35c37a252009a67d88f3d56950c3a8e4c2f2e8e2

Observation 15fa36b5-2257-42bb-b3ee-70003f70f01d · outbound

This paper cites Deep learning-based anonymization of chest radiographs: a utility-preserving measure for patient privacy.

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification Deep learning-based anonymization of chest radiographs: a utility-preserving measure for patient privacy

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:07:45.708284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T18:07:44.753426Z digest=sha256:68a6247a293afc61786b12f2a809565317dc89ec41cf205851525a041f9ba5e4

Observation 7c556cd7-d3ba-4c9e-853a-2e384e27d505 · outbound

This paper cites Public-key cryptosystems based on compos- ite degree residuosity classes.

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification Public-key cryptosystems based on compos- ite degree residuosity classes

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:07:45.697582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T18:07:44.757297Z digest=sha256:8446abc89ea999776f72dfbd4bc524f282b6471a56841f432866f9a2913f01e7

Observation 295d3b28-ac12-43dd-b250-e7da8b5a60fa · outbound

This paper cites Bleu: a method for automatic evaluation of machine translation.

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification Bleu: a method for automatic evaluation of machine translation

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-15T18:07:44.760404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:07:44.760404Z digest=sha256:cc62bdc46f1450b2e4ca1824f929be7e2d7e60a9a9b5d29fa7d7cb84dca90389

Observation 67a1ca2b-3b75-4f7f-a596-c6dd8a335f93 · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library.

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification Pytorch: An imperative style, high-performance deep learning library

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-15T18:07:44.764051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:07:44.764051Z digest=sha256:78e450257e18b2bdac80ee66ca5348b556c0755e2686f7654e573a522438c61c

Observation 53683ce7-71bd-456c-9fb2-a41618cf3dbd · outbound

This paper cites Nicholson Price and I.

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification Nicholson Price and I

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:07:45.675124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T18:07:44.767629Z digest=sha256:83f5cf3ccafcaaf8680b93fc6bd7fc950227a7707630eaa5a5fabc431a2051f4

Observation 4613c130-df69-481c-a6a9-860330b253c8 · outbound

This paper cites P3: Toward{Privacy-Preserving} photo sharing.

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification P3: Toward{Privacy-Preserving} photo sharing

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:07:45.665021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T18:07:44.771396Z digest=sha256:c72406535a7687e56e257ff6f82f99fdbdcb5536adc8486ca06e7ae5a393027b

Observation 54cca132-adb6-475a-8ca4-aa8293ed7d5e · outbound

This paper cites Learn- ing transferable visual models from natural language super- vision.

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification Learn- ing transferable visual models from natural language super- vision

Reference 84

Resolution
unresolved
no resolver link, observed 2026-08-15T18:07:44.774525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:07:44.774525Z digest=sha256:998dd95d6760eed26d2d964a057dd1df89fa869ecde2ae4de0654d99ed444c5a

Observation 22dd5307-cd62-490d-a752-fc1dde1019ba · outbound

This paper cites Gaussian mixture models.

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification Gaussian mixture models

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:07:45.648476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T18:07:44.777714Z digest=sha256:8643c003add58bfcb3715ad1c5aba8ba291c3654d1cc70a010e66573f3278d98

Observation 764547aa-0d4a-47ab-9948-6ff8a9dca4bd · outbound

This paper cites An open source toolkit for medical imaging de-identification.

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification An open source toolkit for medical imaging de-identification

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:07:45.638799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T18:07:44.780798Z digest=sha256:f94eeafb079fc9057f0570b578402be0f33f3461c421e30a2ed01264e8ffb667

Observation 68db3aa4-44e2-4bde-adaa-4af732717707 · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification High-resolution image synthesis with latent diffusion models

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:07:45.628666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T18:07:44.783856Z digest=sha256:6b33b9764ac294916e7ce08b9b90e5d51fcb98c9bbe2631f215d4a5c27d5caac

Observation 1a6f1dd3-d6d8-4996-a6b4-9e9083403f94 · outbound

This paper cites Under- diagnosis bias of artificial intelligence algorithms applied to chest radiographs in under-served patient populations.

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification Under- diagnosis bias of artificial intelligence algorithms applied to chest radiographs in under-served patient populations

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:07:45.618359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T18:07:44.787029Z digest=sha256:ff52906bff82bd50a7a0c462a139a76ee923134aaa533f311aca3996f6d36592

Observation 08ae4a3a-41ac-4737-8698-51a64be05190 · outbound

This paper cites Rethinking controllable variational autoencoders.

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification Rethinking controllable variational autoencoders

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:07:45.608636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T18:07:44.790211Z digest=sha256:6bd66e9485c56fc4c877c7894688e9d703d1a847d2c546070b4b6cb7a35062c6

Observation 16b0ed23-eab6-4314-9504-dcaad70064d6 · outbound

This paper cites Taitsman, Christi Macrina Grimm, and Shantanu Agrawal.

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification Taitsman, Christi Macrina Grimm, and Shantanu Agrawal

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:07:45.598093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T18:07:44.793328Z digest=sha256:bd5fd1f55c679af847b80599ac5957920c40516fa42dc20f5bb3071b01631378

Observation d390d05e-7357-49a7-b3db-074df124cec9 · outbound

This paper cites Our bodies, our data: how companies make billions selling our medical records.

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification Our bodies, our data: how companies make billions selling our medical records

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:07:45.588632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T18:07:44.797063Z digest=sha256:ebb73f499168fd259753a528ea2be88a74e6d72c0e2320307f8899f490fc597f

Observation 54b47794-db51-4c27-982a-3b2bed2aea2c · outbound

This paper cites Fairness and privacy preservation for facial images: Gan-based methods.

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification Fairness and privacy preservation for facial images: Gan-based methods

Reference 92

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:07:45.578485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T18:07:44.800263Z digest=sha256:1cb19915a1573efcff88cca83c8ba3f7c98c2041e7225dcef85dd28fc4b75067

Observation 6a0248fd-13ac-4b5c-aca5-c4c391233325 · outbound

This paper cites Self- conditioned probabilistic learning of video rescaling.

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification Self- conditioned probabilistic learning of video rescaling

Reference 93

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:07:45.567792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T18:07:44.803651Z digest=sha256:a9291675907dd0eec2980632a24f53c9fa17869cb30a4a317c1eb7d279884574

Observation 902d4533-449c-4c36-9e9c-147639f1c54a · outbound

This paper cites Ean: event adaptive network for enhanced action recognition.

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification Ean: event adaptive network for enhanced action recognition

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:07:45.558202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T18:07:44.807771Z digest=sha256:5bea351478b10d5985100e39aac0047e9880f13195f6be8546bee6137190d620

Observation 9400e598-1a02-4cb9-9362-34cf82c8980a · outbound

This paper cites Non-semantics suppressed mask learning for unsupervised video semantic compression.

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification Non-semantics suppressed mask learning for unsupervised video semantic compression

Reference 95

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:07:45.547822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T18:07:44.811145Z digest=sha256:2ff61f39bb1070dc0c419e921960a5a4987d188e69d5a8b69bd75eeaf2b76700

Observation f5ba6a30-0802-41c8-ace1-c8437dab1165 · outbound

This paper cites Clsa: a contrastive learning framework with se- lective aggregation for video rescaling.

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification Clsa: a contrastive learning framework with se- lective aggregation for video rescaling

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:07:45.537575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T18:07:44.814330Z digest=sha256:b3ddae3ba7b587fc48a427c50545da91aef35066abc493b55809e9b751830073

Observation 63fdc9e9-643e-4306-92b0-fc2210ebb791 · outbound

This paper cites A coding framework and benchmark to- wards low-bitrate video understanding.

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification A coding framework and benchmark to- wards low-bitrate video understanding

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:07:45.527838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T18:07:44.818406Z digest=sha256:ea0b6fa42e8d3f374d9f6f6db61ad24eb657b2fb4a67e48af8e0653984430910

Observation a1a7d307-616c-4874-b272-f3482643163a · outbound

This paper cites Free-vsc: Free semantics from visual foundation models for unsupervised video semantic compression.

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification Free-vsc: Free semantics from visual foundation models for unsupervised video semantic compression

Reference 98

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:07:45.516825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T18:07:44.821731Z digest=sha256:6f49e4ff661fa488ee4847ab57c4dfb2644c2e6ee1d9c4b8a31fe5dd36282170

Observation 595a61d8-d72e-47bf-a6ba-255ed936d177 · outbound

This paper cites Smc++: Masked learning of unsupervised video semantic compression.

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification Smc++: Masked learning of unsupervised video semantic compression

Reference 99

Resolution
unresolved
no resolver link, observed 2026-08-15T18:07:44.825138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:07:44.825138Z digest=sha256:8b8cb7a6640e2ab6f2d2ed6882eebe6e9d660f593a288e83ba6656379ae53554

Observation 7be12e47-1640-4df5-98ec-7c141eaf1393 · outbound

This paper cites Towards all-in-one medical image re-identification.

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification Towards all-in-one medical image re-identification

Reference 100

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:07:45.507042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T18:07:44.829060Z digest=sha256:6f2a788edce3dbe8d1b5c20e7766188f5cc17ea34678dcf756ca3bbc46234543

Pith citing papers

No inbound Pith citation observations are available.