ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training | Paper Citation Record

Observation 9b7cc976-588b-44bc-88a6-98d8c799a8da · outbound

This paper cites Simcrop: Radiograph representation learning with similarity-driven cross-granularity pre-training,.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training Simcrop: Radiograph representation learning with similarity-driven cross-granularity pre-training,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-28T19:16:42.139096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8714eff5-c1ee-4ac0-bbf8-64577e8339b0 · outbound

This paper cites Unimiss+: Universal medical self-supervised learn- ing from cross-dimensional unpaired data,.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training Unimiss+: Universal medical self-supervised learn- ing from cross-dimensional unpaired data,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-28T19:16:42.139096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c710ff5d-d0d0-43ce-8552-1ad49913ebe6 · outbound

This paper cites Medical image segmentation review: The success of u-net,.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training Medical image segmentation review: The success of u-net,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-28T19:16:42.139096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55cfe07e-9d34-40a4-ac07-2266d6c07fa8 · outbound

This paper cites Visionunite: A vision-language foundation model for ophthalmology enhanced with clinical knowledge,.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training Visionunite: A vision-language foundation model for ophthalmology enhanced with clinical knowledge,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-28T19:16:42.139096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d30e09c6-f585-43f6-8dba-a69670e1a6da · outbound

This paper cites Pathway-aware multimodal transformer (pamt): Integrating pathological image and gene expression for inter- pretable cancer survival analysis,.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training Pathway-aware multimodal transformer (pamt): Integrating pathological image and gene expression for inter- pretable cancer survival analysis,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-28T19:16:42.139096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2c51885-0bcb-4069-a4c2-2e4dcda62086 · outbound

This paper cites A review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promises,.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training A review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promises,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-28T19:16:42.139096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d880c931-5a4d-49a3-afec-7f2fa6983bfc · outbound

This paper cites Minimizing estimated risks on unlabeled data: A new formulation for semi-supervised medical image segmentation,.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training Minimizing estimated risks on unlabeled data: A new formulation for semi-supervised medical image segmentation,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-28T19:16:42.139096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 568d4def-e59b-4f16-bc4b-b4073cebbe31 · outbound

This paper cites Deep transfer learning based classification model for covid-19 disease,.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training Deep transfer learning based classification model for covid-19 disease,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-28T19:16:42.139096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9a9d5bd-4838-47db-84e0-299f9c1eab0c · outbound

This paper cites Recent advances and clinical applications of deep learning in medical image analysis,.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training Recent advances and clinical applications of deep learning in medical image analysis,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-28T19:16:42.139096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33f6f518-4aa5-494c-9add-b6acb02df617 · outbound

This paper cites Diagnose like a radiologist: Hybrid neuro- probabilistic reasoning for attribute-based medical image diag- nosis,.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training Diagnose like a radiologist: Hybrid neuro- probabilistic reasoning for attribute-based medical image diag- nosis,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-28T19:16:42.139096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 676dd4f3-d243-4e0e-94ea-7dc96b1274a6 · outbound

This paper cites Homeomorphism prior for false positive and nega- tive problem in medical image dense contrastive representation learning,.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training Homeomorphism prior for false positive and nega- tive problem in medical image dense contrastive representation learning,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-28T19:16:42.139096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82decae9-fa51-49fe-b746-8b0204568c39 · outbound

This paper cites Generalized radiograph representation learn- ing via cross-supervision between images and free-text radiology reports,.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training Generalized radiograph representation learn- ing via cross-supervision between images and free-text radiology reports,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-28T19:16:42.139096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9cc88a43-fed2-467a-b50a-12344f9a5737 · outbound

This paper cites Knowledge- enhanced visual-language pre-training on chest radiology im- ages,.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training Knowledge- enhanced visual-language pre-training on chest radiology im- ages,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-28T19:16:42.139096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98c4a3d7-5ee5-485a-a70f-c4786eaf2b7d · outbound

This paper cites Towards generalist foundation model for radiology by leveraging web-scale 2d&3d medical data,.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training Towards generalist foundation model for radiology by leveraging web-scale 2d&3d medical data,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-28T19:16:42.139096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49b13af0-2ce1-46ec-bae2-a0ea73bd7f06 · outbound

This paper cites A unified visual information preservation framework for self-supervised pre-training in medical image analysis,.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training A unified visual information preservation framework for self-supervised pre-training in medical image analysis,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-06-28T19:16:42.139096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44147b14-2691-4459-b386-d95e4f771289 · outbound

This paper cites A medical multimodal large language model for future pandemics,.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training A medical multimodal large language model for future pandemics,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-28T19:16:42.139096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c6c356b-7b59-4fe2-9d3f-50fdbde2bedf · outbound

This paper cites Abdomenct-1k: Is abdominal organ segmentation a solved problem?.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training Abdomenct-1k: Is abdominal organ segmentation a solved problem?

Reference 17

Resolution: unresolved; no resolver link, observed 2026-06-28T19:16:42.139096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd8317ba-8bbb-4d6f-bcd7-18388815536e · outbound

This paper cites Development of a large-scale medical visual question-answering dataset,.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training Development of a large-scale medical visual question-answering dataset,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-06-28T19:16:42.139096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40aca9e3-39da-4150-bd05-cbe844abc01b · outbound

This paper cites Large-scale long-tailed disease diagnosis on radiology images,.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training Large-scale long-tailed disease diagnosis on radiology images,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-06-28T19:16:42.139096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81528565-80c3-49c4-b306-12b9986de5bf · outbound

This paper cites Medical multimodal multitask foundation model for lung cancer screening,.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training Medical multimodal multitask foundation model for lung cancer screening,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-06-28T19:16:42.139096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8680fee0-ef74-4e26-b49a-c1418b1fc6ae · outbound

This paper cites Hi-end-mae: Hierarchical encoder-driven masked autoencoders are stronger vision learners for medical image segmentation,.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training Hi-end-mae: Hierarchical encoder-driven masked autoencoders are stronger vision learners for medical image segmentation,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-06-28T19:16:42.139096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f2e7cd6-9fbb-40b5-85be-d1e0e034048f · outbound

This paper cites Contrastive learning of medical visual repre- sentations from paired images and text,.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training Contrastive learning of medical visual repre- sentations from paired images and text,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-06-28T19:16:42.139096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e92ca15-a318-41bf-90f7-5b1a11203825 · outbound

This paper cites Gloria: A multimodal global-local repre- sentation learning framework for label-efficient medical image recognition,.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training Gloria: A multimodal global-local repre- sentation learning framework for label-efficient medical image recognition,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-06-28T19:16:42.139096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1c639fd-c07b-429a-b38d-b2aa1f5cfb2b · outbound

This paper cites Multi-granularity cross-modal align- ment for generalized medical visual representation learning,.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training Multi-granularity cross-modal align- ment for generalized medical visual representation learning,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-06-28T19:16:42.139096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 643709c1-daee-413d-b4f1-ea45625b477c · outbound

This paper cites MedCLIP: Contrastive learning from unpaired medical images and text,.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training MedCLIP: Contrastive learning from unpaired medical images and text,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-06-28T19:16:42.139096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ed3b470-c64a-42eb-a52e-33badbdea6ad · outbound

This paper cites Medklip: Medical knowledge enhanced language- image pre-training,.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training Medklip: Medical knowledge enhanced language- image pre-training,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-06-28T19:16:42.139096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c7c60d8-d612-409b-967d-d76d06b9b06d · outbound

This paper cites Expert-level detection of pathologies from unan- notated chest x-ray images via self-supervised learning,.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training Expert-level detection of pathologies from unan- notated chest x-ray images via self-supervised learning,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-06-28T19:16:42.139096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 067efde0-5110-4fc6-9d85-6c2631adaef7 · outbound

This paper cites Advancing radiograph representation learning with masked record modeling,.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training Advancing radiograph representation learning with masked record modeling,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-06-28T19:16:42.139096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21dfd5b2-8e08-4f3d-81fc-bc9c45397161 · outbound

This paper cites Mlip: Enhancing medical visual representation with divergence encoder and knowledge-guided contrastive learn- ing,.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training Mlip: Enhancing medical visual representation with divergence encoder and knowledge-guided contrastive learn- ing,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-06-28T19:16:42.139096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef3c44bc-df3a-4ec3-912b-030cd0b81cee · outbound

This paper cites Enhancing representation in radiography- reports foundation model: A granular alignment algorithm using masked contrastive learning,.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training Enhancing representation in radiography- reports foundation model: A granular alignment algorithm using masked contrastive learning,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-06-28T19:16:42.139096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7db0ef59-d69d-40d9-baeb-8ec095ee4f4c · outbound

This paper cites Ecamp: Entity-centered context-aware medical vision language pre-training,.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training Ecamp: Entity-centered context-aware medical vision language pre-training,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-06-28T19:16:42.139096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c989c556-97bf-444e-827b-e774bf09694d · outbound

This paper cites Efficient medical vision-language alignment through adapting masked vision models,.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training Efficient medical vision-language alignment through adapting masked vision models,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-06-28T19:16:42.139096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec5bcbde-986b-4e5d-b725-209c7faa9174 · outbound

This paper cites Bootstrapping chest ct image understanding by distilling knowledge from x-ray expert models,.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training Bootstrapping chest ct image understanding by distilling knowledge from x-ray expert models,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-06-28T19:16:42.139096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52306f51-7557-40d0-81c1-3f1c437b5d0e · outbound

This paper cites Merlin: a computed tomography vision– language foundation model and dataset,.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training Merlin: a computed tomography vision– language foundation model and dataset,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-06-28T19:16:42.139096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11df3fcb-a0cd-48fe-af4d-b8338dd07d56 · outbound

This paper cites Large-scale 3d medical image pre-training with geometric context priors,.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training Large-scale 3d medical image pre-training with geometric context priors,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-06-28T19:16:42.139096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 037c7a4d-ae4b-45a2-b74a-2f77d650b7a9 · outbound

This paper cites Generalist foundation models from a mul- timodal dataset for 3d computed tomography,.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training Generalist foundation models from a mul- timodal dataset for 3d computed tomography,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-06-28T19:16:42.139096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 124ab31d-b74a-4948-893e-a3d96b6fd817 · outbound

This paper cites Machine-learning-based multiple abnor- mality prediction with large-scale chest computed tomography volumes,.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training Machine-learning-based multiple abnor- mality prediction with large-scale chest computed tomography volumes,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-06-28T19:16:42.139096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c4f571e-fac3-40ad-a006-1f027f5c6f2a · outbound

This paper cites BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patients.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patients

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-06-28T19:22:34.668852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b7c6815a-065f-43e1-b7ad-0acb954d3d31 · outbound

This paper cites Large-scale and fine-grained vision-language pre- training for enhanced ct image understanding,.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training Large-scale and fine-grained vision-language pre- training for enhanced ct image understanding,

Reference 39

Resolution: unresolved; no resolver link, observed 2026-06-28T19:16:42.139096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a674b6a6-fd94-4ae5-b6a2-96ca36015c58 · outbound

This paper cites Boosting vision semantic density with anatomy normality modeling for medical vision-language pre-training,.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training Boosting vision semantic density with anatomy normality modeling for medical vision-language pre-training,

Reference 40

Resolution: unresolved; no resolver link, observed 2026-06-28T19:16:42.139096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2e685c6-40c0-4bef-990b-210b140af7a9 · outbound

This paper cites arXiv preprint arXiv:2404.15272 (2024).

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training arXiv preprint arXiv:2404.15272 (2024)

Reference 41

Resolution: metadata mismatch; arxiv_id, observed 2026-06-28T19:22:34.670630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a0f3b2d1-8329-4eb8-8fb6-8a321e9d304f · outbound

This paper cites M3D: Advancing 3D Medical Image Analysis with Multi-Modal Large Language Models.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training M3D: Advancing 3D Medical Image Analysis with Multi-Modal Large Language Models

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-06-28T19:22:34.679589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3eba48ea-59f7-439b-8d5e-0bb0cee7b2e2 · outbound

This paper cites T3d: Advancing 3d medical vision-language pre- training by learning multi-view visual consistency,.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training T3d: Advancing 3d medical vision-language pre- training by learning multi-view visual consistency,

Reference 43

Resolution: unresolved; no resolver link, observed 2026-06-28T19:16:42.139096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f75a6ca7-b7bb-4855-8c6f-18248d13f64f · outbound

This paper cites Radzero3d: Bridging self-supervised video models and medical vision-language alignment for zero-shot chest ct interpretation,.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training Radzero3d: Bridging self-supervised video models and medical vision-language alignment for zero-shot chest ct interpretation,

Reference 44

Resolution: unresolved; no resolver link, observed 2026-06-28T19:16:42.139096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28965099-569b-4959-a99e-0a7bd6807c1b · outbound

This paper cites Large-vocabulary segmentation for medical im- ages with text prompts,.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training Large-vocabulary segmentation for medical im- ages with text prompts,

Reference 45

Resolution: unresolved; no resolver link, observed 2026-06-28T19:16:42.139096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 164b36da-234d-41d1-bea8-c34c7ba3f3e6 · outbound

This paper cites Totalsegmentator: robust segmentation of 104 anatomic structures in ct images,.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training Totalsegmentator: robust segmentation of 104 anatomic structures in ct images,

Reference 46

Resolution: unresolved; no resolver link, observed 2026-06-28T19:16:42.139096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57e85d97-7040-41cc-9367-49f197bffde5 · outbound

This paper cites Towards scalable language-image pre-training for 3d medical imaging,.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training Towards scalable language-image pre-training for 3d medical imaging,

Reference 47

Resolution: unresolved; no resolver link, observed 2026-06-28T19:16:42.139096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b09a5cf-ce32-40c7-9490-f97ff36011fb · outbound

This paper cites Multi-modal masked autoencoders for medical vision-and-language pre-training,.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training Multi-modal masked autoencoders for medical vision-and-language pre-training,

Reference 48

Resolution: unresolved; no resolver link, observed 2026-06-28T19:16:42.139096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0603080e-01fb-4857-8e7f-95e3cb50a514 · outbound

This paper cites Learning transferable visual models from natural language supervision,.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training Learning transferable visual models from natural language supervision,

Reference 49

Resolution: unresolved; no resolver link, observed 2026-06-28T19:16:42.139096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00b249eb-b5b1-4e92-8288-45b47de27adc · outbound

This paper cites Scaling up visual and vision-language representation learning with noisy text supervision,.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training Scaling up visual and vision-language representation learning with noisy text supervision,

Reference 50

Resolution: unresolved; no resolver link, observed 2026-06-28T19:16:42.139096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b9cc321-b158-47dc-8a17-c23aa2e682e5 · outbound

This paper cites CoCa: Contrastive Captioners are Image-Text Foundation Models.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training CoCa: Contrastive Captioners are Image-Text Foundation Models

Reference 51

Resolution: verified exact; local_arxiv, observed 2026-06-28T19:22:34.676717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7fb3388e-3ef4-4166-be9e-3f6ff972eae7 · outbound

This paper cites Grounded language-image pre-training,.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training Grounded language-image pre-training,

Reference 52

Resolution: unresolved; no resolver link, observed 2026-06-28T19:16:42.139096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d3971ab-c827-43d1-bd0c-ac71bb698eae · outbound

This paper cites Scaling language-image pre-training via masking,.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training Scaling language-image pre-training via masking,

Reference 53

Resolution: unresolved; no resolver link, observed 2026-06-28T19:16:42.139096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d57ed1e-8ac8-438d-b420-a35b4274ce1f · outbound

This paper cites Flamingo: a visual language model for few- shot learning,.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training Flamingo: a visual language model for few- shot learning,

Reference 54

Resolution: unresolved; no resolver link, observed 2026-06-28T19:16:42.139096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bec95b64-3523-4755-9fc6-e5263fe28fc3 · outbound

This paper cites Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models,.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models,

Reference 55

Resolution: unresolved; no resolver link, observed 2026-06-28T19:16:42.139096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f25424a-0020-44ee-aea1-00d303f47df3 · outbound

This paper cites Visual instruction tuning,.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training Visual instruction tuning,

Reference 56

Resolution: unresolved; no resolver link, observed 2026-06-28T19:16:42.139096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3dda4d07-3dd8-4381-b526-537661b60ca2 · outbound

This paper cites Sigmoid loss for language image pre-training,.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training Sigmoid loss for language image pre-training,

Reference 57

Resolution: unresolved; no resolver link, observed 2026-06-28T19:16:42.139096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87217183-9072-4b36-bed8-fa5606673683 · outbound

This paper cites Vilbert: Pretraining task-agnostic visiolinguistic representations for vision-and-language tasks,.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training Vilbert: Pretraining task-agnostic visiolinguistic representations for vision-and-language tasks,

Reference 58

Resolution: unresolved; no resolver link, observed 2026-06-28T19:16:42.139096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9236816a-74e2-477d-be52-be34046e5e5c · outbound

This paper cites Vl-bert: Pre-training of generic visual-linguistic representations,.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training Vl-bert: Pre-training of generic visual-linguistic representations,

Reference 59

Resolution: unresolved; no resolver link, observed 2026-06-28T19:16:42.139096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 009af067-2f8b-4c24-b2cc-e2ddbf93da50 · outbound

This paper cites Beit: Bert pre-training of image transformers,.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training Beit: Bert pre-training of image transformers,

Reference 60

Resolution: unresolved; no resolver link, observed 2026-06-28T19:16:42.139096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18333284-ce6a-453d-a6f9-b625ab19f8c6 · outbound

This paper cites Flava: A foundational language and vision alignment model,.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training Flava: A foundational language and vision alignment model,

Reference 61

Resolution: unresolved; no resolver link, observed 2026-06-28T19:16:42.139096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ba524ab-144d-4979-825b-9de19472cfeb · outbound

This paper cites Image as a foreign language: Beit pretraining for vision and vision-language tasks,.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training Image as a foreign language: Beit pretraining for vision and vision-language tasks,

Reference 62

Resolution: unresolved; no resolver link, observed 2026-06-28T19:16:42.139096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e45e6947-dc79-400a-9e21-ef27530ca17f · outbound

This paper cites Valor: Vision-audio-language omni-perception pre- training model and dataset,.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training Valor: Vision-audio-language omni-perception pre- training model and dataset,

Reference 63

Resolution: unresolved; no resolver link, observed 2026-06-28T19:16:42.139096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 042702f0-d632-4f05-bf4f-2eb3e4b47cbc · outbound

This paper cites Unsupervised pre-training with language-vision prompts for low-data instance segmentation,.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training Unsupervised pre-training with language-vision prompts for low-data instance segmentation,

Reference 64

Resolution: unresolved; no resolver link, observed 2026-06-28T19:16:42.139096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df9e98cd-8548-4996-b504-dab10d36e730 · outbound

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

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training Mimic-cxr, a de-identified publicly available database of chest radiographs with free-text reports,

Reference 65

Resolution: unresolved; no resolver link, observed 2026-06-28T19:16:42.139096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 311f9d31-ddf7-42d7-b57f-906729b2596e · outbound

This paper cites Eva-x: A foundation model for general chest x- ray analysis with self-supervised learning,.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training Eva-x: A foundation model for general chest x- ray analysis with self-supervised learning,

Reference 66

Resolution: unresolved; no resolver link, observed 2026-06-28T19:16:42.139096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 286d2caa-cf30-4fb4-ade3-abce9f024d46 · outbound

This paper cites Med-unic: Unifying cross-lingual medical vision- language pre-training by diminishing bias,.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training Med-unic: Unifying cross-lingual medical vision- language pre-training by diminishing bias,

Reference 67

Resolution: unresolved; no resolver link, observed 2026-06-28T19:16:42.139096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 310013d8-5d4b-46d3-a84a-3e427fc96ea3 · outbound

This paper cites Rethinking masked image modeling for medical image representation,.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training Rethinking masked image modeling for medical image representation,

Reference 68

Resolution: unresolved; no resolver link, observed 2026-06-28T19:16:42.139096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4dc28bbe-f73a-4a55-8cef-2781124057c0 · outbound

This paper cites Voco: A simple-yet-effective volume contrastive learning framework for 3d medical image analysis,.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training Voco: A simple-yet-effective volume contrastive learning framework for 3d medical image analysis,

Reference 69

Resolution: unresolved; no resolver link, observed 2026-06-28T19:16:42.139096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63a82504-1f57-4cca-a30a-39010cb46504 · outbound

This paper cites Mim: Mask in mask self-supervised pre-training for 3d medical image analysis,.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training Mim: Mask in mask self-supervised pre-training for 3d medical image analysis,

Reference 70

Resolution: unresolved; no resolver link, observed 2026-06-28T19:16:42.139096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36bc480e-4bad-48cc-a6fb-ea5e2c8d2d31 · outbound

This paper cites Enhancing the vision–language foundation model with key semantic knowledge-emphasized report refine- ment,.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training Enhancing the vision–language foundation model with key semantic knowledge-emphasized report refine- ment,

Reference 71

Resolution: unresolved; no resolver link, observed 2026-06-28T19:16:42.139096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0569bf8b-1282-4300-8b14-90275f352356 · outbound

This paper cites Imitate: Clinical prior guided hierarchical vision- language pre-training,.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training Imitate: Clinical prior guided hierarchical vision- language pre-training,

Reference 72

Resolution: unresolved; no resolver link, observed 2026-06-28T19:16:42.139096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b1facda-13f0-4391-859e-2d05b7227d55 · outbound

This paper cites Multi-grained vision-and-language model for medical image and text alignment,.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training Multi-grained vision-and-language model for medical image and text alignment,

Reference 73

Resolution: unresolved; no resolver link, observed 2026-06-28T19:16:42.139096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b196004a-3dea-47e7-a4f9-30560e77d791 · outbound

This paper cites Semantic-aware hard negative mining for medical vision-language contrastive pretraining,.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training Semantic-aware hard negative mining for medical vision-language contrastive pretraining,

Reference 74

Resolution: unresolved; no resolver link, observed 2026-06-28T19:16:42.139096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8b3bdb5-045a-4277-b3a5-d97a69684233 · outbound

This paper cites Prior: Prototype representation joint learning from medical images and reports,.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training Prior: Prototype representation joint learning from medical images and reports,

Reference 75

Resolution: unresolved; no resolver link, observed 2026-06-28T19:16:42.139096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb7bf038-5c74-40dd-8f60-3d62c6aa3967 · outbound

This paper cites G2d: From global to dense radiography representa- tion learning via vision-language pre-training,.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training G2d: From global to dense radiography representa- tion learning via vision-language pre-training,

Reference 76

Resolution: unresolved; no resolver link, observed 2026-06-28T19:16:42.139096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 408684e9-2a42-4cf3-b8aa-82a9c6b8b7c3 · outbound

This paper cites X-ray computed tomography,.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training X-ray computed tomography,

Reference 77

Resolution: unresolved; no resolver link, observed 2026-06-28T19:16:42.139096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 074b7a76-00eb-4242-ad78-06bb5ab58eda · outbound

This paper cites Geometric visual similarity learning in 3d medical image self-supervised pre-training,.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training Geometric visual similarity learning in 3d medical image self-supervised pre-training,

Reference 78

Resolution: unresolved; no resolver link, observed 2026-06-28T19:16:42.139096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f7d3196-1ce8-4061-abc6-f8d8bb42f14b · outbound

This paper cites Unified medical image pre-training in language- guided common semantic space,.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training Unified medical image pre-training in language- guided common semantic space,

Reference 79

Resolution: unresolved; no resolver link, observed 2026-06-28T19:16:42.139096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f5d8955-6ce0-46b8-8400-636f7e46c0c3 · outbound

This paper cites Mg-3d: Multi-grained knowledge-enhanced vision- language pre-training for 3d medical image analysis,.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training Mg-3d: Multi-grained knowledge-enhanced vision- language pre-training for 3d medical image analysis,

Reference 80

Resolution: unresolved; no resolver link, observed 2026-06-28T19:16:42.139096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8ecbf8a-69eb-48e9-9d43-16ea5263acd2 · outbound

This paper cites MedVista3D: Vision-Language Modeling for Reducing Diagnostic Errors in 3D CT Disease Detection, Understanding and Reporting.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training MedVista3D: Vision-Language Modeling for Reducing Diagnostic Errors in 3D CT Disease Detection, Understanding and Reporting

Reference 81

Resolution: verified exact; arxiv_id, observed 2026-06-28T19:22:34.659378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f2cf9b25-91b6-4fd5-b060-0948cb7b7563 · outbound

This paper cites An image is worth 16x16 words: Trans- formers for image recognition at scale,.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training An image is worth 16x16 words: Trans- formers for image recognition at scale,

Reference 82

Resolution: unresolved; no resolver link, observed 2026-06-28T19:16:42.139096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02ec643f-b411-4bf4-96c8-df1769b4d130 · outbound

This paper cites Bert: Pre-training of deep bidirectional transform- ers for language understanding,.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training Bert: Pre-training of deep bidirectional transform- ers for language understanding,

Reference 83

Resolution: unresolved; no resolver link, observed 2026-06-28T19:16:42.139096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb934d60-5818-4fd4-8dac-0541c700680c · outbound

This paper cites Masked autoencoders are scalable vision learners,.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training Masked autoencoders are scalable vision learners,

Reference 84

Resolution: unresolved; no resolver link, observed 2026-06-28T19:16:42.139096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e1b0f50-9ff6-467b-afa4-f9b6cc56fca0 · outbound

This paper cites Self pre-training with masked autoencoders for medical image classification and segmentation,.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training Self pre-training with masked autoencoders for medical image classification and segmentation,

Reference 85

Resolution: unresolved; no resolver link, observed 2026-06-28T19:16:42.139096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ffd920c-9d3b-4633-852b-bf999c6be58b · outbound

This paper cites Benchmarking deep learning models and auto- mated model design for covid-19 detection with chest ct scans,.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training Benchmarking deep learning models and auto- mated model design for covid-19 detection with chest ct scans,

Reference 86

Resolution: unresolved; no resolver link, observed 2026-06-28T19:16:42.139096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45dd34b9-d429-4b14-a9a0-8f9cadfb3207 · outbound

This paper cites The medical segmentation decathlon,.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training The medical segmentation decathlon,

Reference 87

Resolution: unresolved; no resolver link, observed 2026-06-28T19:16:42.139096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4aad0136-f73e-4846-964e-3e2631a81a65 · outbound

This paper cites Rapid artificial intelligence solutions in a pan- demic—the covid-19-20 lung ct lesion segmentation challenge,.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training Rapid artificial intelligence solutions in a pan- demic—the covid-19-20 lung ct lesion segmentation challenge,

Reference 88

Resolution: unresolved; no resolver link, observed 2026-06-28T19:16:42.139096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f6012bf-0ae6-4d4a-9d1d-805d3617e424 · outbound

This paper cites Segthor: Segmentation of thoracic organs at risk in ct images,.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training Segthor: Segmentation of thoracic organs at risk in ct images,

Reference 89

Resolution: unresolved; no resolver link, observed 2026-06-28T19:16:42.139096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b55eddc7-779d-4fe9-afd5-09f47d1bcd54 · outbound

This paper cites A new dataset of computed-tomography angiography images for computer-aided detection of pulmonary embolism,.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training A new dataset of computed-tomography angiography images for computer-aided detection of pulmonary embolism,

Reference 90

Resolution: unresolved; no resolver link, observed 2026-06-28T19:16:42.139096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4762ad5-fb62-46d0-a994-f4f38445a716 · outbound

This paper cites Miccai multi-atlas labeling beyond the cranial vault–workshop and challenge,.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training Miccai multi-atlas labeling beyond the cranial vault–workshop and challenge,

Reference 91

Resolution: unresolved; no resolver link, observed 2026-06-28T19:16:42.139096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a57469ba-9ff8-41f7-8c15-5687b1ce219b · outbound

This paper cites Deep learning techniques for automatic mri cardiac multi-structures segmentation and diagnosis: is the prob- lem solved?.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training Deep learning techniques for automatic mri cardiac multi-structures segmentation and diagnosis: is the prob- lem solved?

Reference 92

Resolution: unresolved; no resolver link, observed 2026-06-28T19:16:42.139096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 573916e0-e3a2-4a7e-bc1c-040e0243ab85 · outbound

This paper cites Work like a doctor: Unifying scan localizer and dynamic generator for automated computed tomography report generation,.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training Work like a doctor: Unifying scan localizer and dynamic generator for automated computed tomography report generation,

Reference 93

Resolution: unresolved; no resolver link, observed 2026-06-28T19:16:42.139096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 015f544e-cc8c-4b78-902d-d96eaecd52b1 · outbound

This paper cites Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: the luna16 challenge,.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: the luna16 challenge,

Reference 94

Resolution: unresolved; no resolver link, observed 2026-06-28T19:16:42.139096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be1003cb-467a-41b6-8d3e-02ce079443fd · outbound

This paper cites INSPECT: A Multimodal Dataset for Pulmonary Embolism Diagnosis and Prognosis.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training INSPECT: A Multimodal Dataset for Pulmonary Embolism Diagnosis and Prognosis

Reference 95

Resolution: metadata mismatch; arxiv_id, observed 2026-06-28T19:22:34.682485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 54869d1c-263a-41a5-9ab3-d55793e1beca · outbound

This paper cites Study of thoracic ct in covid-19: the stoic project,.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training Study of thoracic ct in covid-19: the stoic project,

Reference 96

Resolution: unresolved; no resolver link, observed 2026-06-28T19:16:42.139096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66b17409-a861-4896-a55a-947f69500eab · outbound

This paper cites Development of a large-scale grounded vision language dataset for chest ct analysis,.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training Development of a large-scale grounded vision language dataset for chest ct analysis,

Reference 97

Resolution: unresolved; no resolver link, observed 2026-06-28T19:16:42.139096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c47b66bc-6c38-4589-90e7-34342083f384 · outbound

This paper cites The rsna pulmonary embolism ct dataset,.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training The rsna pulmonary embolism ct dataset,

Reference 98

Resolution: unresolved; no resolver link, observed 2026-06-28T19:16:42.139096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 169fef0f-6fbe-4834-93fa-79c5a0982186 · outbound

This paper cites Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach,.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach,

Reference 99

Resolution: unresolved; no resolver link, observed 2026-06-28T19:16:42.139096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa74c36a-fb1c-4fe6-8bfe-33166bcca46e · outbound

This paper cites Towards data-efficient learning: A benchmark for covid-19 ct lung and infection segmentation,.

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training Towards data-efficient learning: A benchmark for covid-19 ct lung and infection segmentation,

Reference 100

Resolution: unresolved; no resolver link, observed 2026-06-28T19:16:42.139096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers