A Unified Deep Learning Framework for Motion Correction in Medical Imaging | Paper Citation Record

Observation 6e2ced5b-48c0-4052-838a-3a642cd4d5fe · outbound

This paper cites Motion artifacts in mri: A complex problem with many partial solutions.

A Unified Deep Learning Framework for Motion Correction in Medical Imaging Motion artifacts in mri: A complex problem with many partial solutions

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T20:38:25.729567Z

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Observation 13578ea7-05bd-4abe-a66d-23f0eca8959d · outbound

This paper cites Prospective motion correction in brain imaging: a review.

A Unified Deep Learning Framework for Motion Correction in Medical Imaging Prospective motion correction in brain imaging: a review

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T20:38:25.782170Z

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Observation aada73c7-aae6-4912-ad52-460649d6e48c · outbound

This paper cites Motion-compensation techniques in neonatal and fetal mr imaging.

A Unified Deep Learning Framework for Motion Correction in Medical Imaging Motion-compensation techniques in neonatal and fetal mr imaging

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T20:38:25.808204Z

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Observation a8490382-31c5-4856-a240-8ce055edb22b · outbound

This paper cites Motion estimation and correction in spect, pet and ct.

A Unified Deep Learning Framework for Motion Correction in Medical Imaging Motion estimation and correction in spect, pet and ct

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T20:38:25.725680Z

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Observation 243e055d-4532-4612-9984-b0be83c520e4 · outbound

This paper cites Image registration.

A Unified Deep Learning Framework for Motion Correction in Medical Imaging Image registration

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T20:38:25.721850Z

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Observation 17edccc6-48a1-495c-987d-39058508cb52 · outbound

This paper cites Promo: real-time prospective motion correction in mri using image-based tracking.

A Unified Deep Learning Framework for Motion Correction in Medical Imaging Promo: real-time prospective motion correction in mri using image-based tracking

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T20:38:25.718420Z

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Observation e1c76189-1992-4ecd-bb38-33b74fec6872 · outbound

This paper cites Slice-to-volume medical image registra- tion: A survey.

A Unified Deep Learning Framework for Motion Correction in Medical Imaging Slice-to-volume medical image registra- tion: A survey

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T20:38:25.774951Z

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Observation b06ac727-d0b2-42d0-b7ea-8c7afd94043a · outbound

This paper cites Biomedical image registration.

A Unified Deep Learning Framework for Motion Correction in Medical Imaging Biomedical image registration

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T20:38:25.771349Z

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Observation d3da556f-ab68-4050-b758-ce58274ff281 · outbound

This paper cites Slimm: Slice lo- calization integrated mri monitoring.

A Unified Deep Learning Framework for Motion Correction in Medical Imaging Slimm: Slice lo- calization integrated mri monitoring

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T20:38:25.733871Z

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Observation fc69bf6b-95b3-4ae1-9a0c-edf55c70db3c · outbound

This paper cites Real-time fetal brain tracking for functional fetal mri.

A Unified Deep Learning Framework for Motion Correction in Medical Imaging Real-time fetal brain tracking for functional fetal mri

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T20:38:25.711139Z

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Observation 28cb0b1c-e60e-47ec-b35c-2c0c83a20428 · outbound

This paper cites Deep learning for retrospective motion correction in mri: a comprehensive review.

A Unified Deep Learning Framework for Motion Correction in Medical Imaging Deep learning for retrospective motion correction in mri: a comprehensive review

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T20:38:25.869076Z

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Observation ffa8cd72-b61b-490f-bfa3-29e811de9b46 · outbound

This paper cites Real-time deep pose estimation with geodesic loss for image-to-template rigid registration.

A Unified Deep Learning Framework for Motion Correction in Medical Imaging Real-time deep pose estimation with geodesic loss for image-to-template rigid registration

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T20:38:25.707331Z

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Observation 8ba60511-d5a1-4a06-8143-edfff6ab4ad1 · outbound

This paper cites Keymorph: Robust multi-modal affine registration via unsupervised keypoint de- tection.

A Unified Deep Learning Framework for Motion Correction in Medical Imaging Keymorph: Robust multi-modal affine registration via unsupervised keypoint de- tection

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T20:38:25.741475Z

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Observation 814707d8-ea3f-4c4c-8dbb-b8e5d6e5b315 · outbound

This paper cites SpaER: Learning Spatio-temporal Equivariant Representations for Fetal Brain Motion Tracking.

A Unified Deep Learning Framework for Motion Correction in Medical Imaging SpaER: Learning Spatio-temporal Equivariant Representations for Fetal Brain Motion Tracking

Reference 14

Resolution: malformed identifier; arxiv_id, observed 2026-05-23T20:38:25.078470Z

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Observation 5ca0888c-a139-4826-b78b-3bcce67adbe9 · outbound

This paper cites Joint motion estimation with geometric deformation correction for fetal echo planar images via deep learning.

A Unified Deep Learning Framework for Motion Correction in Medical Imaging Joint motion estimation with geometric deformation correction for fetal echo planar images via deep learning

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T20:38:25.703532Z

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Observation 336476a2-315f-46b9-87b8-022c677cb22c · outbound

This paper cites Equivariant filters for efficient tracking in 3d imaging.

A Unified Deep Learning Framework for Motion Correction in Medical Imaging Equivariant filters for efficient tracking in 3d imaging

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T20:38:25.699488Z

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Observation 0061e369-6c7a-4308-898b-c30535224b9a · outbound

This paper cites Svort: iterative transformer for slice-to-volume registration in fetal brain mri.

A Unified Deep Learning Framework for Motion Correction in Medical Imaging Svort: iterative transformer for slice-to-volume registration in fetal brain mri

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T20:38:25.756724Z

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Observation e4312e3a-65ab-4127-b855-9b7c63ca6260 · outbound

This paper cites Network accelerated motion estimation and reduction (namer): convolutional neural network guided retrospective motion correction using a separable motion model.

A Unified Deep Learning Framework for Motion Correction in Medical Imaging Network accelerated motion estimation and reduction (namer): convolutional neural network guided retrospective motion correction using a separable motion model

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T20:38:25.752891Z

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Observation 44cd7a46-58a0-476d-9c85-158cb7eb5bab · outbound

This paper cites A deep cascade of convolutional neural networks for dynamic mr image reconstruction.

A Unified Deep Learning Framework for Motion Correction in Medical Imaging A deep cascade of convolutional neural networks for dynamic mr image reconstruction

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T20:38:25.695504Z

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Observation 18ff2346-1c3b-4472-8801-483c6c1d53b2 · outbound

This paper cites Deep predictive motion tracking in magnetic resonance imaging: application to fetal imaging.

A Unified Deep Learning Framework for Motion Correction in Medical Imaging Deep predictive motion tracking in magnetic resonance imaging: application to fetal imaging

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T20:38:25.691741Z

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Observation 880152d6-2ae1-47d7-b0f3-6da61c1735d2 · outbound

This paper cites Cine cardiac mri motion artifact reduction using a recurrent neural network.

A Unified Deep Learning Framework for Motion Correction in Medical Imaging Cine cardiac mri motion artifact reduction using a recurrent neural network

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T20:38:25.688187Z

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Observation 7dd0ccfc-ece3-4657-88a3-5bbaa144871e · outbound

This paper cites Nesvor: implicit neural representation for slice-to-volume reconstruction in mri.

A Unified Deep Learning Framework for Motion Correction in Medical Imaging Nesvor: implicit neural representation for slice-to-volume reconstruction in mri

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T20:38:25.745016Z

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Observation 0e73e897-9c18-4a73-bd44-30e8d3e5560d · outbound

This paper cites Retrospective Motion Correction of MR Images using Prior-Assisted Deep Learning.

A Unified Deep Learning Framework for Motion Correction in Medical Imaging Retrospective Motion Correction of MR Images using Prior-Assisted Deep Learning

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-23T20:38:25.093547Z

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Observation 790536c0-d6d3-4b2d-8483-279e9c136764 · outbound

This paper cites A knowledge interaction learning for multi-echo mri motion artifact correction towards better enhancement of swi.

A Unified Deep Learning Framework for Motion Correction in Medical Imaging A knowledge interaction learning for multi-echo mri motion artifact correction towards better enhancement of swi

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T20:38:25.888764Z

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Observation 6ddf47f2-24fd-4ead-b01b-251f93626619 · outbound

This paper cites Autofocusing+: noise-resilient motion correction in magnetic resonance imaging.

A Unified Deep Learning Framework for Motion Correction in Medical Imaging Autofocusing+: noise-resilient motion correction in magnetic resonance imaging

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T20:38:25.855903Z

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Observation 909200e5-cf00-4b77-8b60-fc7698503a9d · outbound

This paper cites Deep learning-based motion quantification from k-space for fast model-based magnetic resonance imaging motion cor- rection.

A Unified Deep Learning Framework for Motion Correction in Medical Imaging Deep learning-based motion quantification from k-space for fast model-based magnetic resonance imaging motion cor- rection

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T20:38:25.884882Z

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Observation eb17fb17-1ad0-414f-8907-fc768f3721ac · outbound

This paper cites Physics-informed deep learning for motion-corrected reconstruction of quantitative brain mri.

A Unified Deep Learning Framework for Motion Correction in Medical Imaging Physics-informed deep learning for motion-corrected reconstruction of quantitative brain mri

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T20:38:25.845008Z

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Observation 304a6aa6-9bfa-4695-965b-ca4f64fb9f3b · outbound

This paper cites Joint frequency and image space learning for mri reconstruction and analysis.

A Unified Deep Learning Framework for Motion Correction in Medical Imaging Joint frequency and image space learning for mri reconstruction and analysis

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T20:38:25.819365Z

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Observation 919fe6b4-b9cf-40cc-848a-ef74bc9e23b6 · outbound

This paper cites Motion artifact reduction for magnetic resonance imaging with deep learning and k-space analysis.

A Unified Deep Learning Framework for Motion Correction in Medical Imaging Motion artifact reduction for magnetic resonance imaging with deep learning and k-space analysis

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T20:38:25.794210Z

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Observation 7e4b0a3d-d624-439a-b2e4-53dc5c813663 · outbound

This paper cites Exploiting motion for deep learning reconstruction of extremely- undersampled dynamic mri.

A Unified Deep Learning Framework for Motion Correction in Medical Imaging Exploiting motion for deep learning reconstruction of extremely- undersampled dynamic mri

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T20:38:25.748580Z

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Observation c21f62c9-75f2-49e1-bb69-1adca5176cfc · outbound

This paper cites End-to-end deep learning nonrigid motion-corrected recon- struction for highly accelerated free-breathing coronary mra.

A Unified Deep Learning Framework for Motion Correction in Medical Imaging End-to-end deep learning nonrigid motion-corrected recon- struction for highly accelerated free-breathing coronary mra

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T20:38:25.786203Z

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Observation 7105a4c7-efc5-4cb9-bb82-bb2bc6a45d60 · outbound

This paper cites Neural implicit k-space for binning-free non-cartesian cardiac mr imaging.

A Unified Deep Learning Framework for Motion Correction in Medical Imaging Neural implicit k-space for binning-free non-cartesian cardiac mr imaging

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T20:38:25.837719Z

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Observation c5915818-8ff3-47ea-91e5-3ec2f1f4da62 · outbound

This paper cites Iconik: Generating respiratory-resolved abdominal mr reconstructions using neural implicit representations in k-space.

A Unified Deep Learning Framework for Motion Correction in Medical Imaging Iconik: Generating respiratory-resolved abdominal mr reconstructions using neural implicit representations in k-space

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T20:38:25.737870Z

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Observation 78aaaf18-308b-49d1-98d4-8e2851a83460 · outbound

This paper cites Two-stage motion correction for super-resolution ultra- sound imaging in human lower limb.

A Unified Deep Learning Framework for Motion Correction in Medical Imaging Two-stage motion correction for super-resolution ultra- sound imaging in human lower limb

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T20:38:25.684657Z

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Observation 33df4ef1-3854-47ff-ba9d-b79c39106b14 · outbound

This paper cites 3d freehand ultrasound without external tracking using deep learning.

A Unified Deep Learning Framework for Motion Correction in Medical Imaging 3d freehand ultrasound without external tracking using deep learning

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T20:38:25.778576Z

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Observation a65dc1e1-fa03-4f69-b7ba-14f4afca5c0f · outbound

This paper cites Automatic inter-frame patient motion correction for dynamic cardiac pet using deep learning.

A Unified Deep Learning Framework for Motion Correction in Medical Imaging Automatic inter-frame patient motion correction for dynamic cardiac pet using deep learning

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T20:38:25.873127Z

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Observation 2cf2d7a0-6111-4a6c-be55-f6ad6072a54a · outbound

This paper cites Deep learning based joint pet image reconstruction and motion estimation.

A Unified Deep Learning Framework for Motion Correction in Medical Imaging Deep learning based joint pet image reconstruction and motion estimation

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T20:38:25.715060Z

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Observation 8fc97975-e895-4e89-b813-44a0460e4390 · outbound

This paper cites SE(3)-Equivariant and Noise-Invariant 3D Rigid Motion Tracking in Brain MRI.

A Unified Deep Learning Framework for Motion Correction in Medical Imaging SE(3)-Equivariant and Noise-Invariant 3D Rigid Motion Tracking in Brain MRI

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-23T20:38:25.083997Z

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Observation ad4ab44b-b2d0-4fae-a6be-906191f05847 · outbound

This paper cites Computing large deformation metric mappings via geodesic flows of diffeomorphisms.

A Unified Deep Learning Framework for Motion Correction in Medical Imaging Computing large deformation metric mappings via geodesic flows of diffeomorphisms

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T20:38:25.760614Z

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Observation 2f3af1b3-92d8-4cde-9714-a26e197af5b1 · outbound

This paper cites Symmetric diffeomorphic image registration with cross-correlation: evaluating auto- mated labeling of elderly and neurodegenerative brain.

A Unified Deep Learning Framework for Motion Correction in Medical Imaging Symmetric diffeomorphic image registration with cross-correlation: evaluating auto- mated labeling of elderly and neurodegenerative brain

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T20:38:25.865545Z

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Observation fff1d83a-24d0-48e4-880c-cbe504ad448d · outbound

This paper cites Multi-modal volume registration by maximization of mutual informa- tion.

A Unified Deep Learning Framework for Motion Correction in Medical Imaging Multi-modal volume registration by maximization of mutual informa- tion

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T20:38:25.848620Z

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Observation 02457920-260e-4bc7-ac17-9cc66b604fce · outbound

This paper cites Meta- morph: Learning metamorphic image transformation with appearance changes.

A Unified Deep Learning Framework for Motion Correction in Medical Imaging Meta- morph: Learning metamorphic image transformation with appearance changes

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T20:38:25.852088Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d82f135b-2275-4cd5-a9d1-e27bce564f4a · outbound

This paper cites Sur la g ´eom´etrie diff ´erentielle des groupes de Lie de dimension infinie et ses applications `a l’hydrodynamique des fluides parfaits.

A Unified Deep Learning Framework for Motion Correction in Medical Imaging Sur la g ´eom´etrie diff ´erentielle des groupes de Lie de dimension infinie et ses applications `a l’hydrodynamique des fluides parfaits

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T20:38:25.860262Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7c75768c-577a-46e2-bf41-9b79559e097d · outbound

This paper cites Geodesic shooting for compu- tational anatomy.

A Unified Deep Learning Framework for Motion Correction in Medical Imaging Geodesic shooting for compu- tational anatomy

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T20:38:25.880532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a7cad2ce-ec44-4281-8c97-02e70c45fdf6 · outbound

This paper cites Fast diffeomorphic image registration via fourier-approximated lie algebras.

A Unified Deep Learning Framework for Motion Correction in Medical Imaging Fast diffeomorphic image registration via fourier-approximated lie algebras

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T20:38:25.841440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 073eda18-f383-49c1-a4ed-cc869b827afc · outbound

This paper cites 3d shape descriptor based on 3d fourier transform.

A Unified Deep Learning Framework for Motion Correction in Medical Imaging 3d shape descriptor based on 3d fourier transform

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T20:38:25.830613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 34c3d698-8e09-4ea9-ac9e-4fe1fcaa7c69 · outbound

This paper cites Invariant image recognition by zernike moments.

A Unified Deep Learning Framework for Motion Correction in Medical Imaging Invariant image recognition by zernike moments

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T20:38:25.826504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7d4d2c87-d924-4ed8-8eb9-770fb03d7cf0 · outbound

This paper cites SlerpFace: Face Template Protection via Spherical Linear Interpolation.

A Unified Deep Learning Framework for Motion Correction in Medical Imaging SlerpFace: Face Template Protection via Spherical Linear Interpolation

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-23T20:38:25.098738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7c15b03e-975f-445b-bf61-caeee00c6dc7 · outbound

This paper cites Spherical Linear Interpolation and Text-Anchoring for Zero-shot Composed Image Retrieval.

A Unified Deep Learning Framework for Motion Correction in Medical Imaging Spherical Linear Interpolation and Text-Anchoring for Zero-shot Composed Image Retrieval

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-23T20:38:25.088828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 354ca1c8-cfff-44f7-970a-b467abbd3315 · outbound

This paper cites Quatse: Spherical linear interpolation of quaternion for knowledge graph embeddings.

A Unified Deep Learning Framework for Motion Correction in Medical Imaging Quatse: Spherical linear interpolation of quaternion for knowledge graph embeddings

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T20:38:25.811809Z

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Observation f2d90526-9e3f-448f-9d4c-21d3ad22ab56 · outbound

This paper cites V oxelmorph: a learning framework for deformable medical image registration.

A Unified Deep Learning Framework for Motion Correction in Medical Imaging V oxelmorph: a learning framework for deformable medical image registration

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T20:38:25.815653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3bc7eab1-3c78-4a1f-bccb-61c88402b84a · outbound

This paper cites Transmorph: Transformer for unsupervised medical image registration.

A Unified Deep Learning Framework for Motion Correction in Medical Imaging Transmorph: Transformer for unsupervised medical image registration

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T20:38:25.804881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 27580df1-f9b0-450f-baae-014c2c2e4b91 · outbound

This paper cites Diffusemorph: Unsupervised deformable image registration using diffusion model.

A Unified Deep Learning Framework for Motion Correction in Medical Imaging Diffusemorph: Unsupervised deformable image registration using diffusion model

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T20:38:25.797959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation fbfbcecf-3506-41f5-91ea-0db9a980778e · outbound

This paper cites Nocedal and S.

A Unified Deep Learning Framework for Motion Correction in Medical Imaging Nocedal and S

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T20:38:25.801378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b5b7420f-4aa3-4ebe-a870-b97622017715 · outbound

This paper cites Fetal- bet: Brain extraction tool for fetal mri.

A Unified Deep Learning Framework for Motion Correction in Medical Imaging Fetal- bet: Brain extraction tool for fetal mri

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T20:38:25.822990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f72eec8f-181f-4140-b1b0-95b169a60080 · outbound

This paper cites Autosegmentation for thoracic radiation treatment planning: a grand challenge at aapm 2017.

A Unified Deep Learning Framework for Motion Correction in Medical Imaging Autosegmentation for thoracic radiation treatment planning: a grand challenge at aapm 2017

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T20:38:25.834205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f9a848a1-3c2a-41d3-9b0c-80631163533d · outbound

This paper cites Medmnist classification decathlon: A lightweight automl benchmark for medical image analysis.

A Unified Deep Learning Framework for Motion Correction in Medical Imaging Medmnist classification decathlon: A lightweight automl benchmark for medical image analysis

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T20:38:25.876795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a66a7020-9937-488c-9465-e7d2c44a3ba6 · outbound

This paper cites Medmnist v2-a large-scale lightweight benchmark for 2d and 3d biomedical image classification.

A Unified Deep Learning Framework for Motion Correction in Medical Imaging Medmnist v2-a large-scale lightweight benchmark for 2d and 3d biomedical image classification

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T20:38:25.789852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ed0f276e-467f-4a1a-ae05-8598d1259a4b · outbound

This paper cites The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification.

A Unified Deep Learning Framework for Motion Correction in Medical Imaging The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification

Reference 59

Resolution: verified exact; local_arxiv, observed 2026-05-23T20:38:25.073198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 68834102-f3f6-4e5a-bf29-68693d7da1b9 · outbound

This paper cites The multimodal brain tumor image segmentation benchmark (brats).

A Unified Deep Learning Framework for Motion Correction in Medical Imaging The multimodal brain tumor image segmentation benchmark (brats)

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T20:38:25.767446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Reference resolution

Outbound references

Pith citing papers