STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models | Paper Citation Record

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This paper cites CCSI: Continual Class-Specific Impression for data-free class incremental learning.

STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models CCSI: Continual Class-Specific Impression for data-free class incremental learning

Reference 1

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This paper cites Biaspruner: Mitigating bias transfer in continual learning for fair medical image analysis.

STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models Biaspruner: Mitigating bias transfer in continual learning for fair medical image analysis

Reference 2

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This paper cites IEEE Transactions on Medical Imaging 43, 3767–3779.

STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models IEEE Transactions on Medical Imaging 43, 3767–3779

Reference 3

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This paper cites Making the Most of Text Semantics to Improve Biomedical Vision–Language Processing, in: European Conference on Computer Vision, Springer.

STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models Making the Most of Text Semantics to Improve Biomedical Vision–Language Processing, in: European Conference on Computer Vision, Springer

Reference 4

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This paper cites MS- CXR: Making the Most of Text Semantics to Improve Biomedical Vision-Language Processing.

STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models MS- CXR: Making the Most of Text Semantics to Improve Biomedical Vision-Language Processing

Reference 5

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This paper cites Medical Image Analysis 114, 104235.

STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models Medical Image Analysis 114, 104235

Reference 6

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This paper cites New Insights on Reducing Abrupt Representation Change in Online Continual Learning.

STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models New Insights on Reducing Abrupt Representation Change in Online Continual Learning

Reference 7

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This paper cites Toward Bidirectional Adaptability for Few-Shot Class-Incremental LearningWithForward-BackwardKnowledgeTransfer.

STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models Toward Bidirectional Adaptability for Few-Shot Class-Incremental LearningWithForward-BackwardKnowledgeTransfer

Reference 8

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This paper cites MEDITRON-70B: Scaling Medical Pretraining for Large Language Models.

STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models MEDITRON-70B: Scaling Medical Pretraining for Large Language Models

Reference 9

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This paper cites Distribution-Level Memory Recall for ContinualLearning:PreservingKnowledgeandAvoidingConfusion.

STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models Distribution-Level Memory Recall for ContinualLearning:PreservingKnowledgeandAvoidingConfusion

Reference 10

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This paper cites Trends in Cognitive Sciences 21, 618–631.

STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models Trends in Cognitive Sciences 21, 618–631

Reference 11

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STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models Unresolved cited work

Reference 12

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This paper cites Deep residual learning for image recognition, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp.

STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models Deep residual learning for image recognition, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp

Reference 13

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STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models scBIT: Integrating Single-cell Transcriptomic Data into fMRI-based Prediction for Alzheimer’s Disease Diagnosis

Reference 14

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This paper cites Overcoming catastrophic forgetting in neural net- works.

STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models Overcoming catastrophic forgetting in neural net- works

Reference 15

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This paper cites What learning systemsdointelligentagentsneed?Complementarylearningsystems theory updated.

STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models What learning systemsdointelligentagentsneed?Complementarylearningsystems theory updated

Reference 16

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This paper cites Continual learning in medical image analysis: A comprehensive review of recent advancements and future prospects.

STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models Continual learning in medical image analysis: A comprehensive review of recent advancements and future prospects

Reference 17

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This paper cites BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical Domains.

STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical Domains

Reference 18

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This paper cites Building machines that learn and think like people.

STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models Building machines that learn and think like people

Reference 19

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This paper cites Turning the Tables: Enabling Backward Transfer via Causal-Aware LoRAinContinualLearning,in:TheThirty-ninthAnnualConference on Neural Information Processing Systems.

STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models Turning the Tables: Enabling Backward Transfer via Causal-Aware LoRAinContinualLearning,in:TheThirty-ninthAnnualConference on Neural Information Processing Systems

Reference 20

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This paper cites ProgressiveDistillationforIncrementalLearninginCornealConfocal Microscopy Segmentation.

STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models ProgressiveDistillationforIncrementalLearninginCornealConfocal Microscopy Segmentation

Reference 21

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This paper cites Ultrasound report generation with cross-modality feature alignmentviaunsupervisedguidance.

STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models Ultrasound report generation with cross-modality feature alignmentviaunsupervisedguidance

Reference 22

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This paper cites Learning without forgetting.

STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models Learning without forgetting

Reference 23

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STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models Beyond not-forgetting: Continual learning with backward knowledge transfer

Reference 24

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STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models Why there are complementary learning systems in the hippocampus and neocortex: insights from the successes and failures of connectionist models of learning and memory

Reference 25

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This paper cites Catastrophic interference in con- nectionistnetworks:Thesequentiallearningproblem,in:Psychology of Learning and Motivation.

STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models Catastrophic interference in con- nectionistnetworks:Thesequentiallearningproblem,in:Psychology of Learning and Motivation

Reference 26

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This paper cites Language as a cognitive tool.

STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models Language as a cognitive tool

Reference 27

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STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models CPSR- CLIP: Conditional Prompt-Induced Style Reconstruction for Zero- Shot Domain Adaptation

Reference 28

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This paper cites Learning Transferable Visual Models From Natural Language Supervision, in: International Conference on Machine Learning, PMLR.

STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models Learning Transferable Visual Models From Natural Language Supervision, in: International Conference on Machine Learning, PMLR

Reference 29

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STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models Unresolved cited work

Reference 30

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STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models iCaRL: Incremental Classifier and Representation Learning, in: Proceedings oftheIEEEConferenceonComputerVisionandPatternRecognition, pp

Reference 31

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STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models Grad-CAM: Visual Explanations from Deep Net- works via Gradient-based Localization, in: Proceedings of the IEEE International Conference on Computer Vision, pp

Reference 32

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This paper cites Large-scale and Fine-grained Vision-Language Pre-training for Enhanced CT Image Understand- ing, in: International Conference on Learning Representations, pp.

STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models Large-scale and Fine-grained Vision-Language Pre-training for Enhanced CT Image Understand- ing, in: International Conference on Learning Representations, pp

Reference 33

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STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models Artificial life 11, 13–29

Reference 34

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STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models Qwen2.5: A Party of Foundation Models

Reference 35

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STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models Multi-Scale Feature Alignment for Continual Learning of Unlabeled Domains

Reference 36

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STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models In- ternational Competition on Ocular Disease Intelligent Recognition

Reference 37

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Reference 38

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STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models Beef: Bi-compatible class-incremental learning via energy-based expansion and fusion, in: The eleventh International Conference on Learning Representations

Reference 39

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STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models Foster: Feature boosting and compression for class-incremental learning, in: European Conference on Computer Vision, Springer

Reference 40

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STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models Rethinking Class-Incremental Learning From a Dynamic ImbalancedLearningPerspective

Reference 41

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STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models Rehearsal-Free Modular and Compositional Continual Learning for Language Models

Reference 42

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STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models Cross-Domain Invariant Feature Absorption and Domain-Specific Feature Retention for Domain Incremental Chest X-Ray Classifica- tion

Reference 43

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STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models Dual-AttentionTransformersforClass-IncrementalLearning:ATale ofTwoMemories

Reference 44

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STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning, in:EuropeanConferenceonComputerVision,Springer.pp.631–648

Reference 45

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STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models Learning to Prompt for Continual Learning,in:ProceedingsoftheIEEE/CVFConferenceonComputer Vision and Pattern Recognition, pp

Reference 46

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This paper cites Herding dynamical weights to learn, in: Pro- ceedings of the 26th Annual International Conference on Machine Learning, pp.

STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models Herding dynamical weights to learn, in: Pro- ceedings of the 26th Annual International Conference on Machine Learning, pp

Reference 47

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STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models PMC-LLaMA: toward building open-source language models for medicine

Reference 48

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This paper cites Meta continual learning revisited: Implicitly enhancing online hessian ap- proximation via variance reduction, in: The Twelfth International Conference on Learning Representations.

STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models Meta continual learning revisited: Implicitly enhancing online hessian ap- proximation via variance reduction, in: The Twelfth International Conference on Learning Representations

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:12:19.037053Z

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This paper cites DER: Dynamically expandable representation for class incremental learning, in: Proceedings of the IEEE/CVFConferenceonComputerVisionandPatternRecognition, pp.

STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models DER: Dynamically expandable representation for class incremental learning, in: Proceedings of the IEEE/CVFConferenceonComputerVisionandPatternRecognition, pp

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:12:19.021470Z

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This paper cites Continual learning through synapticintelligence,in:InternationalConferenceonMachineLearn- ing, PMLR.

STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models Continual learning through synapticintelligence,in:InternationalConferenceonMachineLearn- ing, PMLR

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:12:19.006270Z

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This paper cites Anti-Confounding Hashing: Enhancing Radiological Image Retrieval via Debiased Weighting and Counterfactual Reasoning.

STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models Anti-Confounding Hashing: Enhancing Radiological Image Retrieval via Debiased Weighting and Counterfactual Reasoning

Reference 52

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This paper cites CausalMixNet:Amixed-attentionframeworkforcausal intervention in robust medical image diagnosis.

STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models CausalMixNet:Amixed-attentionframeworkforcausal intervention in robust medical image diagnosis

Reference 53

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This paper cites Maintaining discriminationandfairnessinclassincrementallearning,in:Proceed- ings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.

STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models Maintaining discriminationandfairnessinclassincrementallearning,in:Proceed- ings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:12:18.990475Z

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This paper cites Task-Agnostic Guided Feature Expansion for Class-Incremental Learning, in: Pro- ceedings of the Computer Vision and Pattern Recognition Confer- ence, pp.

STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models Task-Agnostic Guided Feature Expansion for Class-Incremental Learning, in: Pro- ceedings of the Computer Vision and Pattern Recognition Confer- ence, pp

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:12:18.975201Z

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This paper cites PyCIL: a python toolbox for class-incremental learning.

STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models PyCIL: a python toolbox for class-incremental learning

Reference 56

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This paper cites AModelor603 Exemplars: Towards Memory-Efficient Class-Incremental Learning, in: The Eleventh International Conference on Learning Representa- tions.

STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models AModelor603 Exemplars: Towards Memory-Efficient Class-Incremental Learning, in: The Eleventh International Conference on Learning Representa- tions

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:12:18.944066Z

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Observation d22f9384-2f9a-4051-bcfb-fbf450c41ad0 · outbound

This paper cites The Llama 3 Herd of Models.

STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models The Llama 3 Herd of Models

Reference 2024

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