Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation | Paper Citation Record

Observation 5b584ac5-93ab-4be2-b189-e7d168f5be60 · outbound

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

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation Annotation-efficient deep learning for automatic medical image segmentation

Reference 1

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This paper cites Weakly-supervised convolu- tional neural networks for vessel segmentation in cerebral angiography.

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation Weakly-supervised convolu- tional neural networks for vessel segmentation in cerebral angiography

Reference 2

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This paper cites 3d u-net: learning dense volumetric segmentation from sparse annotation.

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation 3d u-net: learning dense volumetric segmentation from sparse annotation

Reference 3

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This paper cites Auto-annotated deep segmentation for surface defect detection.

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation Auto-annotated deep segmentation for surface defect detection

Reference 4

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This paper cites Less Is More: A Comparison of Active Learning Strategies for 3D Medical Image Segmentation.

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation Less Is More: A Comparison of Active Learning Strategies for 3D Medical Image Segmentation

Reference 5

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Observation 56a5bed7-121e-4e77-b636-9a20ec263763 · outbound

This paper cites Colossal: A benchmark for cold-start active learning for 3d medical image segmentation.

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation Colossal: A benchmark for cold-start active learning for 3d medical image segmentation

Reference 6

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This paper cites Universal Weakly Supervised Segmentation by Pixel-to-Segment Contrastive Learning.

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation Universal Weakly Supervised Segmentation by Pixel-to-Segment Contrastive Learning

Reference 7

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This paper cites Scribble-based hierarchical weakly supervised learning for brain tumor segmentation.

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation Scribble-based hierarchical weakly supervised learning for brain tumor segmentation

Reference 8

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Observation 64e836e2-b6a9-4b9c-8841-e11f3e20a617 · outbound

This paper cites Scribble2d5: Weakly-supervised volumetric image segmentation via scribble annotations.

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation Scribble2d5: Weakly-supervised volumetric image segmentation via scribble annotations

Reference 9

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This paper cites Box2mask: Weakly supervised 3d semantic instance segmentation using bounding boxes.

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation Box2mask: Weakly supervised 3d semantic instance segmentation using bounding boxes

Reference 10

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Observation b54deaa5-7925-42dc-9759-2537e2edf7fc · outbound

This paper cites Weakly supervised segmentation with point annotations for histopathology images via contrast-based variational model.

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation Weakly supervised segmentation with point annotations for histopathology images via contrast-based variational model

Reference 11

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This paper cites Affinity attention graph neural network for weakly supervised semantic segmentation.

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation Affinity attention graph neural network for weakly supervised semantic segmentation

Reference 12

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Observation e4542ca9-e1a5-4604-a3c4-0c3985f51c3d · outbound

This paper cites Comparative evaluation of conventional and deep learning methods for semi-automated segmentation of pulmonary nodules on ct.

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation Comparative evaluation of conventional and deep learning methods for semi-automated segmentation of pulmonary nodules on ct

Reference 13

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Observation 33ab2235-7dc6-43e4-bc70-e1e5a4659c55 · outbound

This paper cites Semi-automated and interactive segmentation of contrast-enhancing masses on breast dce-mri using spatial fuzzy clustering.

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation Semi-automated and interactive segmentation of contrast-enhancing masses on breast dce-mri using spatial fuzzy clustering

Reference 14

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Observation 40e49b5e-b573-4eea-bd60-e8c2eb2f0fdd · outbound

This paper cites Interactive segmentation of medical images through fully convolutional neural networks.

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation Interactive segmentation of medical images through fully convolutional neural networks

Reference 15

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This paper cites An unsupervised semi-automated pulmonary nodule segmentation method based on enhanced region growing.

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation An unsupervised semi-automated pulmonary nodule segmentation method based on enhanced region growing

Reference 16

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Observation aac59e18-89e5-4aa6-b691-a4c7d8f0be45 · outbound

This paper cites Learning to segment from scrib- bles using multi-scale adversarial attention gates.

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation Learning to segment from scrib- bles using multi-scale adversarial attention gates

Reference 17

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Observation 421313b2-e521-41d5-b956-27d7ec3c19c7 · outbound

This paper cites Scribble-supervised medical image segmentation via dual-branch network and dynamically mixed pseudo labels supervision.

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation Scribble-supervised medical image segmentation via dual-branch network and dynamically mixed pseudo labels supervision

Reference 18

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Observation ffbb600b-b4a2-4a25-a8a5-e295ba781e7a · outbound

This paper cites Transformer based multiple instance learning for weakly supervised histopathology image segmentation.

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation Transformer based multiple instance learning for weakly supervised histopathology image segmentation

Reference 19

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Observation 1fa8b51c-bd2c-4193-a2d5-f7fc12fa94bd · outbound

This paper cites Multi-scale feature similarity-based weakly supervised lymphoma segmentation in pet/ct images.

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation Multi-scale feature similarity-based weakly supervised lymphoma segmentation in pet/ct images

Reference 20

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This paper cites Max pooling with vision transformers reconciles class and shape in weakly supervised semantic segmentation.

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation Max pooling with vision transformers reconciles class and shape in weakly supervised semantic segmentation

Reference 21

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This paper cites Boosting active learning via improving test performance.

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation Boosting active learning via improving test performance

Reference 22

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This paper cites Deep bayesian active learning with image data.

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation Deep bayesian active learning with image data

Reference 23

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This paper cites Deep Bayesian Active Learning, A Brief Survey on Recent Advances.

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation Deep Bayesian Active Learning, A Brief Survey on Recent Advances

Reference 24

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This paper cites Batchbald: Efficient and diverse batch acquisition for deep bayesian active learning.

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation Batchbald: Efficient and diverse batch acquisition for deep bayesian active learning

Reference 25

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This paper cites Deep Bayesian Active Learning for Natural Language Processing: Results of a Large-Scale Empirical Study.

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation Deep Bayesian Active Learning for Natural Language Processing: Results of a Large-Scale Empirical Study

Reference 26

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This paper cites The power of ensembles for active learning in image classification.

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation The power of ensembles for active learning in image classification

Reference 27

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This paper cites Large-Scale Visual Active Learning with Deep Probabilistic Ensembles.

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation Large-Scale Visual Active Learning with Deep Probabilistic Ensembles

Reference 28

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This paper cites Deep Ensemble Bayesian Active Learning : Addressing the Mode Collapse issue in Monte Carlo dropout via Ensembles.

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation Deep Ensemble Bayesian Active Learning : Addressing the Mode Collapse issue in Monte Carlo dropout via Ensembles

Reference 29

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This paper cites A simple yet powerful deep active learning with snapshots ensembles.

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation A simple yet powerful deep active learning with snapshots ensembles

Reference 30

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This paper cites Active learning for medical image segmentation with stochastic batches.

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation Active learning for medical image segmentation with stochastic batches

Reference 31

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This paper cites One-bit active query with contrastive pairs.

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation One-bit active query with contrastive pairs

Reference 32

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This paper cites Active Learning by Acquiring Contrastive Examples.

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation Active Learning by Acquiring Contrastive Examples

Reference 33

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This paper cites When Contrastive Learning Meets Active Learning: A Novel Graph Active Learning Paradigm with Self-Supervision.

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation When Contrastive Learning Meets Active Learning: A Novel Graph Active Learning Paradigm with Self-Supervision

Reference 34

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This paper cites Deep Active Learning with Contrastive Learning Under Realistic Data Pool Assumptions.

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation Deep Active Learning with Contrastive Learning Under Realistic Data Pool Assumptions

Reference 35

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This paper cites Hyperbolic Active Learning for Semantic Segmentation under Domain Shift.

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation Hyperbolic Active Learning for Semantic Segmentation under Domain Shift

Reference 36

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This paper cites Active Learning for Convolutional Neural Networks: A Core-Set Approach.

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation Active Learning for Convolutional Neural Networks: A Core-Set Approach

Reference 37

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This paper cites Sequential graph convolutional network for active learning.

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation Sequential graph convolutional network for active learning

Reference 38

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This paper cites Active Learning on a Budget: Opposite Strategies Suit High and Low Budgets.

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation Active Learning on a Budget: Opposite Strategies Suit High and Low Budgets

Reference 39

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This paper cites Variational adversarial active learning.

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation Variational adversarial active learning

Reference 40

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This paper cites Task-aware variational adversarial active learning.

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation Task-aware variational adversarial active learning

Reference 41

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This paper cites Towards robust and reproducible active learning using neural networks.

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation Towards robust and reproducible active learning using neural networks

Reference 42

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This paper cites Improved deep metric learning with multi-class n-pair loss objective.

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation Improved deep metric learning with multi-class n-pair loss objective

Reference 43

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This paper cites Contrastive learning of global and local features for medical image segmentation with limited annotations.

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation Contrastive learning of global and local features for medical image segmentation with limited annotations

Reference 44

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This paper cites 3d self-supervised methods for medical imaging.

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation 3d self-supervised methods for medical imaging

Reference 45

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This paper cites Are binary annotations sufficient? video moment retrieval via hier- archical uncertainty-based active learning.

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation Are binary annotations sufficient? video moment retrieval via hier- archical uncertainty-based active learning

Reference 46

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This paper cites Active learning for domain adaptation: An energy-based approach.

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation Active learning for domain adaptation: An energy-based approach

Reference 47

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This paper cites Extending contrastive learning to unsupervised coreset selection.

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation Extending contrastive learning to unsupervised coreset selection

Reference 48

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This paper cites One-shot active learning for image segmentation via contrastive learning and diversity-based sampling.

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation One-shot active learning for image segmentation via contrastive learning and diversity-based sampling

Reference 49

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This paper cites Deep metric learning for computer vision: A brief overview.

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation Deep metric learning for computer vision: A brief overview

Reference 50

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This paper cites Facenet: A unified embedding for face recognition and clustering.

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation Facenet: A unified embedding for face recognition and clustering

Reference 51

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This paper cites A discriminative feature learning approach for deep face recognition.

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation A discriminative feature learning approach for deep face recognition

Reference 52

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Observation 7bbaa1f8-447d-4715-9005-a2e9aab942d2 · outbound

This paper cites Arcface: Additive angular margin loss for deep face recognition.

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation Arcface: Additive angular margin loss for deep face recognition

Reference 53

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This paper cites Sub-center arcface: Boosting face recognition by large-scale noisy web faces.

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation Sub-center arcface: Boosting face recognition by large-scale noisy web faces

Reference 54

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Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation No fuss distance metric learning using proxies

Reference 55

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This paper cites Proxynca++: Revisiting and revitalizing proxy neighborhood component analysis.

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation Proxynca++: Revisiting and revitalizing proxy neighborhood component analysis

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:58:54.365401Z

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This paper cites Napreg: nouns as proxies regularization for semantically aware cross-modal embeddings.

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation Napreg: nouns as proxies regularization for semantically aware cross-modal embeddings

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:58:54.353843Z

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This paper cites Integrating language guidance into vision- based deep metric learning.

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation Integrating language guidance into vision- based deep metric learning

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:58:54.342742Z

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This paper cites Ensemble deep manifold similarity learning using hard proxies.

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation Ensemble deep manifold similarity learning using hard proxies

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:58:54.331285Z

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This paper cites Deep metric learning with bier: Boosting independent embeddings robustly.

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation Deep metric learning with bier: Boosting independent embeddings robustly

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:58:54.319460Z

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Observation c1a1d3ff-980b-42e5-96fe-5f4078a2d9ee · outbound

This paper cites Softtriple loss: Deep metric learning without triplet sampling.

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation Softtriple loss: Deep metric learning without triplet sampling

Reference 61

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This paper cites Mic: Mining interclass characteristics for improved metric learning.

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation Mic: Mining interclass characteristics for improved metric learning

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:58:54.296481Z

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This paper cites Deep randomized ensembles for metric learning.

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation Deep randomized ensembles for metric learning

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:58:54.284042Z

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This paper cites Deep factorized metric learning.

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation Deep factorized metric learning

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:58:54.272118Z

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This paper cites Deep semi-supervised metric learning with mixed label propagation.

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation Deep semi-supervised metric learning with mixed label propagation

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:58:54.260376Z

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This paper cites Semi-supervised metric learning: A deep resurrection.

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation Semi-supervised metric learning: A deep resurrection

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:58:54.249004Z

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This paper cites Self-supervised learning for medical image analysis using image context restoration.

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation Self-supervised learning for medical image analysis using image context restoration

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:58:54.236570Z

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This paper cites wav2vec 2.0: A framework for self-supervised learning of speech representations.

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation wav2vec 2.0: A framework for self-supervised learning of speech representations

Reference 68

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Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation Learning transferable visual models from natural language supervision

Reference 69

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This paper cites A simple framework for contrastive learning of visual representations.

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation A simple framework for contrastive learning of visual representations

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:58:54.213294Z

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This paper cites Suggestive annotation: A deep active learning framework for biomedical image segmentation.

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation Suggestive annotation: A deep active learning framework for biomedical image segmentation

Reference 71

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This paper cites Diminishing uncertainty within the training pool: Active learning for medical image segmentation.

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation Diminishing uncertainty within the training pool: Active learning for medical image segmentation

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:58:54.197274Z

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Observation 6868091f-9105-483a-95aa-d7529d4efcd7 · outbound

This paper cites Hierarchical self-supervised learning for medical image segmentation based on multi-domain data aggregation.

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation Hierarchical self-supervised learning for medical image segmentation based on multi-domain data aggregation

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:58:54.187467Z

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This paper cites Supervised contrastive learning.

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation Supervised contrastive learning

Reference 74

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Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation Deep residual learning for image recognition

Reference 75

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

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation U-net: Convolutional networks for biomedical image segmentation

Reference 76

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Observation 4efda970-5a76-4ef5-a067-81b813e86c90 · outbound

This paper cites Lvm-med: Learning large-scale self-supervised vision models for medical imaging via second-order graph matching.

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation Lvm-med: Learning large-scale self-supervised vision models for medical imaging via second-order graph matching

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:58:54.156928Z

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Observation 79f93cbc-5a6f-41d4-894e-36ca918fb5ab · outbound

This paper cites Deep learning techniques for automatic mri cardiac multi-structures segmentation and diagnosis: is the problem solved? IEEE transactions on medical imaging, 37(11):2514–2525, 2018.

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation Deep learning techniques for automatic mri cardiac multi-structures segmentation and diagnosis: is the problem solved? IEEE transactions on medical imaging, 37(11):2514–2525, 2018

Reference 78

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Observation 08d74b8c-37e4-4e6e-ab02-9f070c411e33 · outbound

This paper cites Alper Selver, O˘guz Dicle, Mustafa Barı¸ s, and N.

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation Alper Selver, O˘guz Dicle, Mustafa Barı¸ s, and N

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:58:54.140552Z

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Observation ccf38707-e61a-4f46-872c-b75aa75eb9a8 · outbound

This paper cites Bayeseg: Bayesian modeling for medical image segmentation with interpretable generalizability, 2023.

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation Bayeseg: Bayesian modeling for medical image segmentation with interpretable generalizability, 2023

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:58:54.130611Z

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Observation 0598ff89-c2d5-4c86-8551-3d824342a263 · outbound

This paper cites Multivariate mixture model for myocardial segmentation combining multi- source images.

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation Multivariate mixture model for myocardial segmentation combining multi- source images

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:58:54.120247Z

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Observation bd3c5c17-cc4d-4c8d-a795-51bcebfb3fc2 · outbound

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

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation Minimizing estimated risks on unlabeled data: A new formula- tion for semi-supervised medical image segmentation

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:58:54.109148Z

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Observation 41e3df8b-a875-4b64-b331-7a2aadd85d2e · outbound

This paper cites CycleMix: A Holistic Strategy for Medical Image Segmentation from Scribble Supervision.

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation CycleMix: A Holistic Strategy for Medical Image Segmentation from Scribble Supervision

Reference 83

Resolution: verified exact; local_arxiv, observed 2026-08-12T13:58:53.887267Z

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Observation 1415cff2-7bd8-47dd-b563-0246dc6bbf81 · outbound

This paper cites A benchmark dataset and evaluation methodology for video object segmentation.

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation A benchmark dataset and evaluation methodology for video object segmentation

Reference 84

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Observation 64f37caf-1be4-4cb2-8d25-2c343a89fb7c · outbound

This paper cites The 2017 DAVIS Challenge on Video Object Segmentation.

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation The 2017 DAVIS Challenge on Video Object Segmentation

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-12T13:58:53.820229Z

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This paper cites Reliable delineation of clinical target volumes for cervical cancer radiotherapy on ct/mr dual-modality images.

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation Reliable delineation of clinical target volumes for cervical cancer radiotherapy on ct/mr dual-modality images

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:58:54.090805Z

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Observation 5e969f19-61fe-419b-b415-bb5033861aad · outbound

This paper cites Domain and User-Centered Machine Learning for Medical Image Analysis.

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation Domain and User-Centered Machine Learning for Medical Image Analysis

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:58:54.079905Z

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Observation deb35c5f-e1a1-49d6-b579-dca9b55aedfb · outbound

This paper cites Deep learning algorithm for auto-delineation of high-risk oropharyngeal clinical target volumes with built-in dice similarity coefficient parameter optimization function.

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation Deep learning algorithm for auto-delineation of high-risk oropharyngeal clinical target volumes with built-in dice similarity coefficient parameter optimization function

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:58:54.068946Z

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Observation e4691c2a-c8bc-4328-8028-35763be2c596 · outbound

This paper cites Automatic detection of contouring errors using convolutional neural networks.

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation Automatic detection of contouring errors using convolutional neural networks

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:58:54.057324Z

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