CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography | Paper Citation Record

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This paper cites Medical technologies - examinations by medical imaging techniques (CT, MRI and PET).

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography Medical technologies - examinations by medical imaging techniques (CT, MRI and PET)

Reference 1

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This paper cites Deep learning empowered volume delineation of whole-body organs-at-risk for accelerated radiotherapy,.

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography Deep learning empowered volume delineation of whole-body organs-at-risk for accelerated radiotherapy,

Reference 2

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Observation e30cbfe8-0e42-4d00-ba01-fc6b2cb0ee47 · outbound

This paper cites Multi- task weak supervision enables anatomically-resolved abnormality detection in whole-body FDG-PET/CT,.

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography Multi- task weak supervision enables anatomically-resolved abnormality detection in whole-body FDG-PET/CT,

Reference 3

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Observation 23d14e55-ec8d-4c58-85b8-09159bee8cc5 · outbound

This paper cites A decision support system for the identification of metastases of metastatic melanoma using whole-body FDG PET/CT images,.

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography A decision support system for the identification of metastases of metastatic melanoma using whole-body FDG PET/CT images,

Reference 4

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This paper cites Automated abdominal segmentation of CT scans for body composition analysis using deep learning,.

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography Automated abdominal segmentation of CT scans for body composition analysis using deep learning,

Reference 5

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This paper cites Multi-atlas-based segmentation with local decision fusion—application to cardiac and aortic segmentation in CT scans,.

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography Multi-atlas-based segmentation with local decision fusion—application to cardiac and aortic segmentation in CT scans,

Reference 6

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This paper cites Novel and powerful 3d adaptive crisp active contour method applied in the segmentation of CT lung images,.

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography Novel and powerful 3d adaptive crisp active contour method applied in the segmentation of CT lung images,

Reference 7

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This paper cites Model-based segmentation of abdominal aortic aneurysms in CTA images,.

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography Model-based segmentation of abdominal aortic aneurysms in CTA images,

Reference 8

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Observation b3ac8be7-f9f3-492d-8512-c80cc2c0d328 · outbound

This paper cites Automated abdominal multi-organ segmentation with subject-specific atlas generation,.

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography Automated abdominal multi-organ segmentation with subject-specific atlas generation,

Reference 9

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Observation a2f105ff-8a05-407d-9f6d-da63f6a082db · outbound

This paper cites Regression forests for efficient anatomy detection and localization in CT studies,.

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography Regression forests for efficient anatomy detection and localization in CT studies,

Reference 10

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This paper cites Entangled decision forests and their application for semantic segmentation of CT images,.

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography Entangled decision forests and their application for semantic segmentation of CT images,

Reference 11

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Observation 559639ee-1c3e-4bfa-8c0c-d3abd7ccdaa1 · outbound

This paper cites Cloud-based evaluation of anatomical structure seg- mentation and landmark detection algorithms: Visceral anatomy benchmarks,.

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography Cloud-based evaluation of anatomical structure seg- mentation and landmark detection algorithms: Visceral anatomy benchmarks,

Reference 12

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Observation 5c22dd49-174f-4e75-a08d-d5f8b24ddae8 · outbound

This paper cites Segment anything in medical images,.

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography Segment anything in medical images,

Reference 13

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This paper cites One-prompt to segment all medical images,.

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography One-prompt to segment all medical images,

Reference 14

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Observation 24847857-a7fc-4106-b5d0-d6e2b8d44f06 · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation,.

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography U-net: Convolutional networks for biomedical image segmentation,

Reference 15

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This paper cites V-net: Fully convolutional neural networks for volumetric medical image segmentation,.

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography V-net: Fully convolutional neural networks for volumetric medical image segmentation,

Reference 16

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This paper cites Deeporgan: Multi- level deep convolutional networks for automated pancreas segmentation,.

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography Deeporgan: Multi- level deep convolutional networks for automated pancreas segmentation,

Reference 17

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This paper cites Scribbleprompt: fast and flexible interactive segmentation for any biomedical image,.

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography Scribbleprompt: fast and flexible interactive segmentation for any biomedical image,

Reference 18

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Observation fde46c0a-d204-4a16-ad4e-2bf3f28e8fd8 · outbound

This paper cites Universeg: Universal medical image segmentation,.

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography Universeg: Universal medical image segmentation,

Reference 20

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Observation c72afb69-bf75-4a64-afb9-d6ffb9787f29 · outbound

This paper cites Medical Vision Generalist: Unifying Medical Imaging Tasks in Context.

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography Medical Vision Generalist: Unifying Medical Imaging Tasks in Context

Reference 21

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

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography nnu-net: a self-configuring method for deep learning-based biomedical image segmentation,

Reference 22

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This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 23

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This paper cites The effectiveness of mae pre-pretraining for billion-scale pretraining,.

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography The effectiveness of mae pre-pretraining for billion-scale pretraining,

Reference 24

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This paper cites Imagenet: A large-scale hierarchical image database,.

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography Imagenet: A large-scale hierarchical image database,

Reference 25

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This paper cites Learning multiple layers of features from tiny images,.

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography Learning multiple layers of features from tiny images,

Reference 26

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

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography Totalsegmentator: robust segmentation of 104 anatomic structures in CT images,

Reference 27

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This paper cites Monai label: A framework for ai-assisted interactive labeling of 3d medical images,.

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography Monai label: A framework for ai-assisted interactive labeling of 3d medical images,

Reference 28

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This paper cites Swin smt: Global sequential modeling for enhancing 3d medi- cal image segmentation,.

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography Swin smt: Global sequential modeling for enhancing 3d medi- cal image segmentation,

Reference 29

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This paper cites Continual segment: Towards a single, unified and non-forgetting continual segmentation model of 143 whole-body organs in CT scans,.

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography Continual segment: Towards a single, unified and non-forgetting continual segmentation model of 143 whole-body organs in CT scans,

Reference 30

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This paper cites Abdomenatlas: A large-scale, detailed-annotated, & multi-center dataset for efficient transfer learning and open algorithmic benchmarking,.

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography Abdomenatlas: A large-scale, detailed-annotated, & multi-center dataset for efficient transfer learning and open algorithmic benchmarking,

Reference 31

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This paper cites Cosst: Multi-organ segmentation with partially labeled datasets using comprehensive supervisions and self-training,.

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography Cosst: Multi-organ segmentation with partially labeled datasets using comprehensive supervisions and self-training,

Reference 32

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This paper cites Fully automated, semantic segmentation of whole-body 18F-FDG PET/CT images based on data-centric artificial intelligence,.

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography Fully automated, semantic segmentation of whole-body 18F-FDG PET/CT images based on data-centric artificial intelligence,

Reference 33

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This paper cites Towards Unifying Anatomy Segmentation: Automated Generation of a Full-body CT Dataset via Knowledge Aggregation and Anatomical Guidelines.

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography Towards Unifying Anatomy Segmentation: Automated Generation of a Full-body CT Dataset via Knowledge Aggregation and Anatomical Guidelines

Reference 34

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This paper cites The cancer imaging archive (tcia): maintaining and operating a public information repository,.

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography The cancer imaging archive (tcia): maintaining and operating a public information repository,

Reference 35

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CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography Grand challenge

Reference 36

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CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography MICCAI Challenges

Reference 37

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This paper cites 3d slicer as an image computing platform for the quantitative imaging network,.

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography 3d slicer as an image computing platform for the quantitative imaging network,

Reference 38

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CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography Forty years of snomed: a literature review,

Reference 39

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This paper cites Data from the national lung screening trial (NLST).

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography Data from the national lung screening trial (NLST)

Reference 40

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This paper cites Developing generalist foundation models from a multimodal dataset for 3d computed tomography,.

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography Developing generalist foundation models from a multimodal dataset for 3d computed tomography,

Reference 41

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

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography Abdomenct-1k: Is abdominal organ segmentation a solved problem?,

Reference 42

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This paper cites Han-seg: The head and neck organ-at-risk CT and MR segmentation dataset,.

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography Han-seg: The head and neck organ-at-risk CT and MR segmentation dataset,

Reference 43

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This paper cites Saros: A dataset for whole-body region and organ segmentation in CT imaging,.

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography Saros: A dataset for whole-body region and organ segmentation in CT imaging,

Reference 44

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CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography Learning shape reconstruction from sparse measurements with neural implicit functions,

Reference 45

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This paper cites Learning continuous shape priors from sparse data with neural implicit functions,.

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography Learning continuous shape priors from sparse data with neural implicit functions,

Reference 46

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This paper cites Organ at risk delineation for radiation therapy clinical trials: Global harmonization group consensus guidelines,.

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography Organ at risk delineation for radiation therapy clinical trials: Global harmonization group consensus guidelines,

Reference 47

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This paper cites Open health imaging foundation viewer: an extensible open-source framework for building web-based imaging applications to support cancer research,.

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography Open health imaging foundation viewer: an extensible open-source framework for building web-based imaging applications to support cancer research,

Reference 48

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This paper cites Vision Foundation Models for Computed Tomography.

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography Vision Foundation Models for Computed Tomography

Reference 49

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This paper cites Clip-driven universal model for organ segmentation and tumor detection,.

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography Clip-driven universal model for organ segmentation and tumor detection,

Reference 50

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This paper cites Medlsam: Localize and segment anything model for 3d CT images,.

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography Medlsam: Localize and segment anything model for 3d CT images,

Reference 51

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This paper cites STU-Net: Scalable and Transferable Medical Image Segmentation Models Empowered by Large-Scale Supervised Pre-training.

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography STU-Net: Scalable and Transferable Medical Image Segmentation Models Empowered by Large-Scale Supervised Pre-training

Reference 52

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This paper cites On balancing bias and variance in unsupervised multi-source-free domain adaptation,.

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography On balancing bias and variance in unsupervised multi-source-free domain adaptation,

Reference 53

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Observation c00d1689-b5c3-4472-8b27-eef4e48e5e63 · outbound

This paper cites Multi-class probabilistic bounds for majority vote classifiers with partially labeled data,.

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography Multi-class probabilistic bounds for majority vote classifiers with partially labeled data,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:06:04.694805Z

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Observation c7b0d229-b605-48ab-a013-7fc79fdd366c · outbound

This paper cites Bagging predictors,.

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography Bagging predictors,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:06:04.673630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c2875213-9f0d-4c83-9613-c8eb8f2ae282 · outbound

This paper cites Hastie, R.

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography Hastie, R

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:06:04.646375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 850af0f2-65bf-482f-9415-ef0385be24d9 · outbound

This paper cites The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the kits19 challenge,.

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the kits19 challenge,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:06:04.619325Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3662a8a5-805d-431c-a0b2-2d3dc944b86e · outbound

This paper cites The liver tumor segmentation benchmark (lits),.

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography The liver tumor segmentation benchmark (lits),

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:06:04.591147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 96f20d9d-9f18-4309-a531-54bbf539ef17 · outbound

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

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography Miccai multi-atlas labeling be- yond the cranial vault–workshop and challenge,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:06:04.566190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 927e128d-9811-43fa-92c2-5e27e4570659 · outbound

This paper cites Chaos challenge-combined (CT-MR) healthy abdominal organ segmentation,.

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography Chaos challenge-combined (CT-MR) healthy abdominal organ segmentation,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:06:04.537978Z

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Observation a150e0d7-325d-40a4-a109-6dd57e2e9959 · outbound

This paper cites Verse: a vertebrae labelling and segmentation benchmark for multi-detector CT images,.

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography Verse: a vertebrae labelling and segmentation benchmark for multi-detector CT images,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:06:04.509284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 12009040-d1db-4605-97fe-cb48aa1ff66f · outbound

This paper cites Extraction of airways from CT (EXACT’09),.

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography Extraction of airways from CT (EXACT’09),

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:06:04.483831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5ee8e9fd-8c02-439d-8cf1-e6739b4f1871 · outbound

This paper cites Computer Aided Detection for Pulmonary Embolism Challenge (CAD-PE).

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography Computer Aided Detection for Pulmonary Embolism Challenge (CAD-PE)

Reference 63

Resolution: verified exact; local_arxiv, observed 2026-08-06T12:06:02.815041Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ba538206-a6f7-4f25-8344-37e5cc4c41d4 · outbound

This paper cites Deep-learning- assisted detection and segmentation of rib fractures from CT scans: Development and validation of fracnet,.

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography Deep-learning- assisted detection and segmentation of rib fractures from CT scans: Development and validation of fracnet,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:06:04.464258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e625d742-6332-4173-8965-5293caca6930 · outbound

This paper cites Learn2reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning,.

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography Learn2reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:06:04.440622Z

Source-reported events for the cited work

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Observation 16ba8b22-a108-4d7c-b8fb-21875fe99a2f · outbound

This paper cites Lndb challenge on automatic lung cancer patient management,.

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography Lndb challenge on automatic lung cancer patient management,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:06:04.417740Z

Source-reported events for the cited work

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Observation 17719368-7ee1-4a59-b5a3-94b1d58edc7a · outbound

This paper cites LObe and Lung Analysis 2011 (LOLA11).

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography LObe and Lung Analysis 2011 (LOLA11)

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:06:04.389222Z

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Observation 18581aa1-0c1e-43d7-bdd9-313c226a5ac4 · outbound

This paper cites Comparison and evaluation of methods for liver segmentation from CT datasets,.

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography Comparison and evaluation of methods for liver segmentation from CT datasets,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:06:04.364796Z

Source-reported events for the cited work

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Observation 89dab75c-5e89-48bb-903e-f6e63db638f7 · outbound

This paper cites Study of thoracic CT in COVID-19: the STOIC project,.

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography Study of thoracic CT in COVID-19: the STOIC project,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:06:04.331457Z

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Observation c45de1e6-b48c-4121-b554-429ff3c50453 · outbound

This paper cites Evaluation of registration methods on thoracic CT: the EMPIRE10 challenge,.

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography Evaluation of registration methods on thoracic CT: the EMPIRE10 challenge,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:06:04.309056Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 15d56bf3-83aa-4f0f-8d12-723079581ca1 · outbound

This paper cites Amos: A large-scale abdominal multi-organ benchmark for versatile medical image segmentation,.

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography Amos: A large-scale abdominal multi-organ benchmark for versatile medical image segmentation,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:06:04.287386Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b985a6df-5f23-4f0f-833e-e42b4e741531 · outbound

This paper cites CT-ORG: A dataset of CT volumes with multiple organ segmentations.

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography CT-ORG: A dataset of CT volumes with multiple organ segmentations

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:06:04.257172Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 00faa2b7-3b22-4454-9bd9-673c3f3b01e8 · outbound

This paper cites Data from LIDC-IDRI.

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography Data from LIDC-IDRI

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:06:04.225366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5fd3bead-5084-419a-9755-a0e8c1286426 · outbound

This paper cites A new 2.5 D representation for lymph node detection in CT (CT lymph nodes).

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography A new 2.5 D representation for lymph node detection in CT (CT lymph nodes)

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:06:04.198646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7e23377d-0efc-496e-b9e5-3ccc321ac34b · outbound

This paper cites The clinical proteomic tumor analysis consortium clear cell renal cell carcinoma collection (CPTAC-CCRCC).

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography The clinical proteomic tumor analysis consortium clear cell renal cell carcinoma collection (CPTAC-CCRCC)

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:06:04.155290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7f2e98c3-ab81-4500-a97c-3d0f4cc86a61 · outbound

This paper cites The clinical proteomic tumor analysis consortium lung adenocarcinoma collection (CPTAC-LUAD).

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography The clinical proteomic tumor analysis consortium lung adenocarcinoma collection (CPTAC-LUAD)

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:06:04.127947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c76f6154-0705-4ae9-b24f-b549861680f7 · outbound

This paper cites CT images in COVID-19.

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography CT images in COVID-19

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:06:04.100649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation cd2fa29f-dfed-407d-9923-31414e176d91 · outbound

This paper cites Data for NSCLC radiogenomics collection.

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography Data for NSCLC radiogenomics collection

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:06:04.078053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 08803215-b5a3-4d56-860d-39396a58b418 · outbound

This paper cites Data from pancreas-CT.

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography Data from pancreas-CT

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:06:04.053550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation bf18e26b-31d1-4372-b289-802782193cd9 · outbound

This paper cites Breath-hold CT and cone-beam CT images with expert manual organ-at-risk segmen- tations from radiation treatments of locally advanced pancreatic cancer (Pancreatic-CT-CBCT-SEG).

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography Breath-hold CT and cone-beam CT images with expert manual organ-at-risk segmen- tations from radiation treatments of locally advanced pancreatic cancer (Pancreatic-CT-CBCT-SEG)

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:06:04.031987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation efe3d14e-7db4-48f5-b993-6a07794e6e4d · outbound

This paper cites Coffee-break lung CT collection with scan images reconstructed at multiple imaging parameters.

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography Coffee-break lung CT collection with scan images reconstructed at multiple imaging parameters

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:06:04.003659Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4fd93b0a-11c0-4780-beb1-c260d22f3742 · outbound

This paper cites The cancer genome atlas kidney chromophobe collection (TCGA-KICH).

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography The cancer genome atlas kidney chromophobe collection (TCGA-KICH)

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:06:03.977970Z

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Observation dfe221d6-3d40-4169-bfeb-d25a6d5a226a · outbound

This paper cites The cancer genome atlas kidney renal clear cell carcinoma collection (TCGA-KIRC).

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography The cancer genome atlas kidney renal clear cell carcinoma collection (TCGA-KIRC)

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:06:03.945744Z

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Observation 8cddc1fe-41f2-4e5c-9de8-44170398c693 · outbound

This paper cites The cancer genome atlas cervical kidney renal papillary cell carcinoma collection (TCGA-KIRP).

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography The cancer genome atlas cervical kidney renal papillary cell carcinoma collection (TCGA-KIRP)

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:06:03.894019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 19d82b2b-d344-455a-86bf-857e8e8ab1d9 · outbound

This paper cites The cancer genome atlas liver hepatocellular carcinoma collection (TCGA-LIHC).

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography The cancer genome atlas liver hepatocellular carcinoma collection (TCGA-LIHC)

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:06:03.865469Z

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Observation 7f154565-500a-4a76-9d5f-2c04dfa7e6a6 · outbound

This paper cites Automated detection of the contrast phase in MDCT by an artificial neural network improves the accuracy of opportunistic bone mineral density measurements,.

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography Automated detection of the contrast phase in MDCT by an artificial neural network improves the accuracy of opportunistic bone mineral density measurements,

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:06:03.833441Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 379754e5-fbbf-4d9e-9a66-4d9627c99347 · outbound

This paper cites Automated Thoracolumbar Stump Rib Detection and Analysis in a Large CT Cohort.

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography Automated Thoracolumbar Stump Rib Detection and Analysis in a Large CT Cohort

Reference 87

Resolution: verified exact; local_arxiv, observed 2026-08-06T12:06:02.771570Z

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Observation 09b21598-96df-4ab9-b4f3-99a55c539e74 · outbound

This paper cites Metrics reloaded: recommendations for image analysis validation,.

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography Metrics reloaded: recommendations for image analysis validation,

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:06:03.800888Z

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Observation b7aa9be7-2c74-4e11-a0f7-15ba2fc2b7b0 · outbound

This paper cites seg-metrics: a python package to compute segmentation metrics,.

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography seg-metrics: a python package to compute segmentation metrics,

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:06:03.775563Z

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Observation 27861af4-2f18-40fe-979a-280b7bb2197f · outbound

This paper cites Surface Distance Metrics.

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography Surface Distance Metrics

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:06:03.731614Z

Source-reported events for the cited work

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Observation a5848aef-7dd4-41dd-b3b3-166f1cbe91bc · outbound

This paper cites VISTA3D: A Unified Segmentation Foundation Model For 3D Medical Imaging.

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography VISTA3D: A Unified Segmentation Foundation Model For 3D Medical Imaging

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-06T12:06:02.269167Z

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Observation ec7d2d03-5710-4c7f-b0be-2594c159d4a7 · outbound

This paper cites Annotation- efficient deep learning for automatic medical image segmentation,.

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography Annotation- efficient deep learning for automatic medical image segmentation,

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:06:03.667778Z

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Observation 1a8b8a01-40ba-4b37-a4cc-824a30b10386 · outbound

This paper cites Scaling vision transformers,.

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography Scaling vision transformers,

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:06:03.643024Z

Source-reported events for the cited work

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Observation d29dad22-8d08-464f-a947-52c5fac55544 · outbound

This paper cites Data-Centric Foundation Models in Computational Healthcare: A Survey.

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography Data-Centric Foundation Models in Computational Healthcare: A Survey

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-06T12:06:02.301163Z

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Observation 12892bfe-9c05-44aa-a59f-f272755cef26 · outbound

This paper cites Semi-supervised learning,.

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography Semi-supervised learning,

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:06:03.614219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d7750baa-2509-400b-a01c-cfb520e92a45 · outbound

This paper cites Accurate and robust whole-head segmentation from magnetic resonance images for individualized head modeling,.

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography Accurate and robust whole-head segmentation from magnetic resonance images for individualized head modeling,

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:06:03.570364Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 19338d64-5882-4c42-8ef4-a9923e4b69e7 · outbound

This paper cites Advanced normalization tools (ants),.

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography Advanced normalization tools (ants),

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:06:03.532082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c4bfaa1b-61c7-442b-8adf-1376bc36b33a · outbound

This paper cites Weakly supervised vessel segmentation in x-ray angiograms by self-paced learning from noisy labels with suggestive annotation,.

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography Weakly supervised vessel segmentation in x-ray angiograms by self-paced learning from noisy labels with suggestive annotation,

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:06:03.497703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f3e8a3b7-021e-4d45-84e1-d7b4cc62694c · outbound

This paper cites Semi-supervised semantic segmentation with error localization network,.

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography Semi-supervised semantic segmentation with error localization network,

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:06:03.465669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 74b7fdbf-e2f9-4315-ada4-44f5d3827593 · outbound

This paper cites Domain adaptation for medical image analysis: a survey,.

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography Domain adaptation for medical image analysis: a survey,

Reference 101

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:06:03.440628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e65dca05-0184-40d4-9254-5365c5b70f65 · outbound

This paper cites Source-free domain adaptation for medical image seg- mentation via prototype-anchored feature alignment and contrastive learning,.

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography Source-free domain adaptation for medical image seg- mentation via prototype-anchored feature alignment and contrastive learning,

Reference 102

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:06:03.409351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers