Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis | Paper Citation Record

Observation e82d6427-f791-4989-8221-5ed7cbd6f201 · outbound

This paper cites Memory aware synapses: Learning what (not) to forget.

Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis Memory aware synapses: Learning what (not) to forget

Reference 1

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This paper cites Continual learning strategies for cancer- independent detection of lymph node metastases.

Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis Continual learning strategies for cancer- independent detection of lymph node metastases

Reference 2

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Observation 65ffd06b-86ac-466b-883d-c2e6eec3adeb · outbound

This paper cites Diagnos- tic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer.

Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis Diagnos- tic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer

Reference 3

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Observation 0bc7a066-c4f0-40e4-bcc2-43cec5f2dd15 · outbound

This paper cites Fal- former: Feature-aware landmarks self-attention for whole- slide image classification.

Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis Fal- former: Feature-aware landmarks self-attention for whole- slide image classification

Reference 4

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Observation 0832624c-0ad6-47bc-9be2-e7adbb0a8828 · outbound

This paper cites Dark experience for general continual learning: a strong, simple baseline.

Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis Dark experience for general continual learning: a strong, simple baseline

Reference 5

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Observation 31e94aac-86b4-4c87-9612-59e814f5dd5d · outbound

This paper cites New insights on reducing abrupt representation change in online continual learning.

Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis New insights on reducing abrupt representation change in online continual learning

Reference 6

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Observation 51fcc26a-2987-4e61-9ef6-34fa404b2b9d · outbound

This paper cites Sm: en- hanced localization in multiple instance learning for medical imaging classification.

Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis Sm: en- hanced localization in multiple instance learning for medical imaging classification

Reference 7

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Observation 2724e9ad-4047-41af-8c5b-aa4adb39abb8 · outbound

This paper cites Incremental learning in semantic segmentation from image labels.

Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis Incremental learning in semantic segmentation from image labels

Reference 8

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Observation e288ebc4-c970-49e4-a434-456f5cf67784 · outbound

This paper cites Riemannian walk for incremen- tal learning: Understanding forgetting and intransigence.

Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis Riemannian walk for incremen- tal learning: Understanding forgetting and intransigence

Reference 9

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Observation 9050c6e0-5f39-4d2c-8e72-cc0743ab7e10 · outbound

This paper cites Efficient lifelong learning with a- gem.

Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis Efficient lifelong learning with a- gem

Reference 10

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Observation c3b14889-c854-4e27-90e0-96c56c912cb6 · outbound

This paper cites Using hindsight to anchor past knowledge in continual learning.

Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis Using hindsight to anchor past knowledge in continual learning

Reference 11

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Observation b37b2f13-3455-4889-8bb1-ecd7105e3d57 · outbound

This paper cites Scaling vision transformers to gigapixel images via hierarchical self-supervised learning.

Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis Scaling vision transformers to gigapixel images via hierarchical self-supervised learning

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:26.403276Z

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Observation 23ec375d-f4a6-4b98-b5a2-e00e5cb5c649 · outbound

This paper cites Towards a general-purpose foundation model for computational pathology.

Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis Towards a general-purpose foundation model for computational pathology

Reference 13

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Observation 19dc2d5d-16c9-4d97-af34-b9c3bb8191bc · outbound

This paper cites cdp-mil: Robust multiple instance learning via cascaded dirichlet process.

Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis cdp-mil: Robust multiple instance learning via cascaded dirichlet process

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:26.295167Z

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Observation 4fac79c8-106f-4c2f-9027-0808848f3ff7 · outbound

This paper cites A continual learning survey: Defying for- getting in classification tasks.

Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis A continual learning survey: Defying for- getting in classification tasks

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:26.180081Z

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Observation a71641d6-77dc-4834-9cd8-e6e3030b363a · outbound

This paper cites Deep miml network.

Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis Deep miml network

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:26.063267Z

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Observation d89c7c66-b459-4ff6-b006-1539066b8b5f · outbound

This paper cites Queryable Prototype Multiple Instance Learning with Vision-Language Models for Incremental Whole Slide Image Classification.

Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis Queryable Prototype Multiple Instance Learning with Vision-Language Models for Incremental Whole Slide Image Classification

Reference 17

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Observation ec6ae5b5-1a2a-4658-a42d-a1373b0c02fb · outbound

This paper cites Agent attention: On the integration of softmax and linear attention.

Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis Agent attention: On the integration of softmax and linear attention

Reference 18

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Observation 60098488-8f6a-42c3-bffd-55383b883860 · outbound

This paper cites Deep residual learning for image recognition.

Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis Deep residual learning for image recognition

Reference 19

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Observation e6faae60-c611-4723-a33c-627e446f9bf4 · outbound

This paper cites Class- incremental continual learning for instance segmentation with image-level weak supervision.

Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis Class- incremental continual learning for instance segmentation with image-level weak supervision

Reference 20

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Observation b0f12d74-0b1d-4454-a5a0-be8181a1ccf0 · outbound

This paper cites Lora: Low-rank adaptation of large language models.

Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis Lora: Low-rank adaptation of large language models

Reference 21

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Observation fa95a260-c8f0-4c2a-a842-54c9e4cdabcf · outbound

This paper cites Conslide: Asynchronous hier- archical interaction transformer with breakup-reorganize re- hearsal for continual whole slide image analysis.

Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis Conslide: Asynchronous hier- archical interaction transformer with breakup-reorganize re- hearsal for continual whole slide image analysis

Reference 22

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Observation f4d76f20-c099-44cb-84b2-8f89e734c9ba · outbound

This paper cites A visual-language foundation model for pathology image analysis using medical twitter.

Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis A visual-language foundation model for pathology image analysis using medical twitter

Reference 23

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Observation ba4a79ac-7e02-4d8a-8479-8a583dabaca1 · outbound

This paper cites Attention-based deep multiple instance learning.

Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis Attention-based deep multiple instance learning

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:25.119234Z

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Observation 93f95329-1b0d-4786-b7ee-b3da9cd9b1de · outbound

This paper cites Additive mil: Intrinsically interpretable multiple instance learning for pathology.

Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis Additive mil: Intrinsically interpretable multiple instance learning for pathology

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:24.971560Z

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Observation dd329145-02dd-4b66-ae88-f3ba7f29ca60 · outbound

This paper cites Vi- sual prompt tuning.

Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis Vi- sual prompt tuning

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:24.807570Z

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Observation 9d701d62-a22c-4b3b-bbbd-e5fdf0db7ce8 · outbound

This paper cites Paip 2020: Microsatellite instability prediction in colorectal cancer.

Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis Paip 2020: Microsatellite instability prediction in colorectal cancer

Reference 27

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Observation 232d8cd7-f164-4744-bf15-810f39ba0ccd · outbound

This paper cites Paip 2019: Liver cancer segmentation chal- lenge.

Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis Paip 2019: Liver cancer segmentation chal- lenge

Reference 28

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Observation 5438e453-6150-4466-a678-bcdc8fccd0b9 · outbound

This paper cites Adam: A method for stochastic optimization.

Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis Adam: A method for stochastic optimization

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:24.110032Z

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Observation ff524cf1-17f9-4e88-bdc2-01c66e8f8a95 · outbound

This paper cites Overcoming catastrophic forgetting in neu- ral networks.

Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis Overcoming catastrophic forgetting in neu- ral networks

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:23.946170Z

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Observation 5cd39b72-0758-49a5-8981-4e001267e7b3 · outbound

This paper cites Online continual learning on class incremental blurry task configuration with anytime inference.

Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis Online continual learning on class incremental blurry task configuration with anytime inference

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:23.811748Z

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Observation b68efa01-7df0-441b-8abf-66220037d9a1 · outbound

This paper cites Mixture of experts meets prompt-based continual learning.

Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis Mixture of experts meets prompt-based continual learning

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:23.648434Z

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Observation 5e1473fb-77d7-464a-8fd3-4f808a850380 · outbound

This paper cites Online continual learning on hierarchical label expansion.

Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis Online continual learning on hierarchical label expansion

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:23.480823Z

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Observation 795f17eb-19eb-4889-b5cc-404d7d4ea03d · outbound

This paper cites Dou- bly perturbed task free continual learning.

Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis Dou- bly perturbed task free continual learning

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:23.299138Z

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Observation 4c1ebdd2-2aef-48d8-89cf-c9c948c8e9d0 · outbound

This paper cites Dual-stream multiple instance learning network for whole slide image classifica- tion with self-supervised contrastive learning.

Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis Dual-stream multiple instance learning network for whole slide image classifica- tion with self-supervised contrastive learning

Reference 35

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Observation 7cdf7acd-5f05-4755-9683-59ec632cc71f · outbound

This paper cites Dt-mil: deformable transformer for multi-instance learning on histopathological image.

Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis Dt-mil: deformable transformer for multi-instance learning on histopathological image

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:23.017070Z

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Observation 5ef42ce1-3dbd-4787-b8d6-e2aa176afe63 · outbound

This paper cites Task-specific fine-tuning via variational information bottle- neck for weakly-supervised pathology whole slide image classification.

Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis Task-specific fine-tuning via variational information bottle- neck for weakly-supervised pathology whole slide image classification

Reference 37

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Observation b6b777ab-6b13-4614-942f-80094e293c4f · outbound

This paper cites Learning without forgetting.

Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis Learning without forgetting

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:22.714435Z

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Observation ad38aae4-bb1c-4f1d-a15f-2d39e0602bab · outbound

This paper cites Inflora: Interference-free low-rank adaptation for continual learning.

Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis Inflora: Interference-free low-rank adaptation for continual learning

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:22.577453Z

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Observation 9fcb7b5c-23f3-4f6e-b97c-f9678b494abb · outbound

This paper cites Learning from the web: Language drives weakly- supervised incremental learning for semantic segmentation.

Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis Learning from the web: Language drives weakly- supervised incremental learning for semantic segmentation

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:22.379110Z

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Observation b9e36a93-2991-4a7b-b4ff-3d59117d5521 · outbound

This paper cites Multiple instance learning via iterative self-paced supervised contrastive learning.

Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis Multiple instance learning via iterative self-paced supervised contrastive learning

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:22.176166Z

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Observation 13e5839a-7408-4c1b-a832-e295f98654e4 · outbound

This paper cites Weakly-supervised residual evidential learning for multi-instance uncertainty estimation.

Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis Weakly-supervised residual evidential learning for multi-instance uncertainty estimation

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:22.004028Z

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Observation 03123a0a-5f9a-418e-b4a2-cff392a4df1f · outbound

This paper cites Advmil: Adversarial multiple instance learning for the survival analysis on whole- slide images.

Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis Advmil: Adversarial multiple instance learning for the survival analysis on whole- slide images

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:21.866002Z

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Observation 28d34f1c-26b1-4a6f-896e-7d7dce8b3ebe · outbound

This paper cites Gradient episodic memory for continual learning.

Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis Gradient episodic memory for continual learning

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:21.637457Z

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Observation f86c5bb9-abac-48f7-af09-2b8c1677626f · outbound

This paper cites Data-efficient and weakly supervised computational pathology on whole- slide images.

Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis Data-efficient and weakly supervised computational pathology on whole- slide images

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:21.485638Z

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Observation 7f0d7228-9882-4bd1-94cb-07f05dc71e50 · outbound

This paper cites A visual- language foundation model for computational pathology.

Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis A visual- language foundation model for computational pathology

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:21.228043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2ff3e53e-42cc-4c8c-936d-46b899ab964e · outbound

This paper cites Packnet: Adding mul- tiple tasks to a single network by iterative pruning.

Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis Packnet: Adding mul- tiple tasks to a single network by iterative pruning

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:21.070987Z

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Observation cce3c14b-4c5e-43f0-9522-4c426482f54a · outbound

This paper cites Piggy- back: Adapting a single network to multiple tasks by learn- ing to mask weights.

Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis Piggy- back: Adapting a single network to multiple tasks by learn- ing to mask weights

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:20.922918Z

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Observation 733b4ac9-2288-4767-91c3-e8d463377f42 · outbound

This paper cites Learn more, but bother less: parameter efficient continual learning.

Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis Learn more, but bother less: parameter efficient continual learning

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:20.718740Z

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Observation b9efed43-f5d5-4aad-9012-31b8f6df8642 · outbound

This paper cites Bi- directional weakly supervised knowledge distillation for whole slide image classification.

Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis Bi- directional weakly supervised knowledge distillation for whole slide image classification

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:20.497068Z

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Observation c7112c2e-2515-48e6-b341-8b40a0ae76e7 · outbound

This paper cites Experience replay for continual learning.

Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis Experience replay for continual learning

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:20.292695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b98e085b-98b6-41ca-807e-9925e56f5846 · outbound

This paper cites Overcoming catastrophic forgetting with hard attention to the task.

Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis Overcoming catastrophic forgetting with hard attention to the task

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:20.096400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a3e4e376-48d8-45bc-8b42-95134e6990ac · outbound

This paper cites Transmil: Transformer based correlated multiple instance learning for whole slide image classification.

Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis Transmil: Transformer based correlated multiple instance learning for whole slide image classification

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:19.923671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e953222f-d26e-421a-bbf5-074aaf06b9e5 · outbound

This paper cites Loss-based attention for deep multi- ple instance learning.

Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis Loss-based attention for deep multi- ple instance learning

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:19.716018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8705e2a5-f37d-4ee3-93ca-829dcf105c3c · outbound

This paper cites Tendency-driven mutual exclusivity for weakly supervised incremental semantic segmentation.

Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis Tendency-driven mutual exclusivity for weakly supervised incremental semantic segmentation

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:19.555608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3415aa96-69e3-4eae-8830-9cd11a27dd75 · outbound

This paper cites Coda-prompt: Contin- ual decomposed attention-based prompting for rehearsal-free continual learning.

Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis Coda-prompt: Contin- ual decomposed attention-based prompting for rehearsal-free continual learning

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:19.379391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 85b87091-a037-4b8f-a8d1-73b419bd7761 · outbound

This paper cites Multiple instance learning framework with masked hard instance mining for whole slide image classification.

Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis Multiple instance learning framework with masked hard instance mining for whole slide image classification

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:19.154675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b3243640-0078-4881-984f-4e37952d0b76 · outbound

This paper cites Feature re-embedding: Towards foun- dation model-level performance in computational pathology.

Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis Feature re-embedding: Towards foun- dation model-level performance in computational pathology

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:18.967016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 27980f4b-7a6c-459f-b33f-ba3fc10333b3 · outbound

This paper cites Three continual learning scenarios.

Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis Three continual learning scenarios

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:18.803578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 870662ef-f2a2-4d00-a724-5bf05ca70d25 · outbound

This paper cites Rethinking multiple instance learning for whole slide image classification: A bag-level classifier is a good instance-level teacher.

Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis Rethinking multiple instance learning for whole slide image classification: A bag-level classifier is a good instance-level teacher

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:18.588550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6557f47c-6810-407a-a51a-c848909aede5 · outbound

This paper cites Afec: Active forgetting of negative transfer in continual learning.

Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis Afec: Active forgetting of negative transfer in continual learning

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:18.403349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation eebbba10-6424-422c-b24e-677e822d0afe · outbound

This paper cites Hierarchical decomposition of prompt-based continual learning: Rethinking obscured sub- optimality.

Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis Hierarchical decomposition of prompt-based continual learning: Rethinking obscured sub- optimality

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:18.184250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation eb9391d7-18b5-4767-9289-0af71215ff18 · outbound

This paper cites Attriclip: A non-incremental learner for incremen- tal knowledge learning.

Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis Attriclip: A non-incremental learner for incremen- tal knowledge learning

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:17.958499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d0080195-a094-4e0b-b7a2-fcca5b32707b · outbound

This paper cites Or- thogonal subspace learning for language model continual learning.

Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis Or- thogonal subspace learning for language model continual learning

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:17.798650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1267d292-60a7-4cc1-b49c-639b90b604cf · outbound

This paper cites Dualprompt: Complementary prompting for rehearsal-free continual learning.

Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis Dualprompt: Complementary prompting for rehearsal-free continual learning

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:17.567788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 74643473-772b-4290-bccb-7104f160b28d · outbound

This paper cites Learning to prompt for continual learning.

Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis Learning to prompt for continual learning

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:17.406587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8bf204c8-3676-42db-85c1-124c311b0193 · outbound

This paper cites The cancer genome atlas pan-cancer analysis project.

Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis The cancer genome atlas pan-cancer analysis project

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:17.143579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a542f08e-354b-4c4e-bee9-6105b81fc447 · outbound

This paper cites Wisepaip: Whole-slide image standard evalua- tion for pathology ai platform.

Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis Wisepaip: Whole-slide image standard evalua- tion for pathology ai platform

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:17.017427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0c205789-3c00-46c2-8366-03e539437830 · outbound

This paper cites Nystr¨omformer: A nystr¨om-based algorithm for approximat- ing self-attention.

Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis Nystr¨omformer: A nystr¨om-based algorithm for approximat- ing self-attention

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:16.868066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 85abd515-5cbb-42da-bb89-0f0d4ab0fc19 · outbound

This paper cites Rcs-prompt: Learning prompt to rearrange class space for prompt-based continual learning.

Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis Rcs-prompt: Learning prompt to rearrange class space for prompt-based continual learning

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:16.562901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 62dc98d9-4e7f-4fe3-b569-938ebe038e92 · outbound

This paper cites Foundation model drives weakly incremental learning for semantic segmentation.

Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis Foundation model drives weakly incremental learning for semantic segmentation

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:16.384942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d8626bdb-db69-467f-af98-73efe0da1597 · outbound

This paper cites Bayes- mil: A new probabilistic perspective on attention-based mul- tiple instance learning for whole slide images.

Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis Bayes- mil: A new probabilistic perspective on attention-based mul- tiple instance learning for whole slide images

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:16.195966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 793e10ee-89e1-4fcc-aef2-db68ef02ff88 · outbound

This paper cites Contin- ual learning through synaptic intelligence.

Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis Contin- ual learning through synaptic intelligence

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:16.016379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e17a15dd-16cd-4a9b-adcb-b0f290c30901 · outbound

This paper cites Dtfd- mil: Double-tier feature distillation multiple instance learn- ing for histopathology whole slide image classification.

Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis Dtfd- mil: Double-tier feature distillation multiple instance learn- ing for histopathology whole slide image classification

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:15.862949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e3f52a9d-bd87-4569-ae14-a6a7ccd5a697 · outbound

This paper cites Setmil: spa- tial encoding transformer-based multiple instance learning for pathological image analysis.

Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis Setmil: spa- tial encoding transformer-based multiple instance learning for pathological image analysis

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:15.728878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 88443da7-98dc-48e0-9d48-5a4349d979a8 · outbound

This paper cites A graph-transformer for whole slide image classifica- tion.

Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis A graph-transformer for whole slide image classifica- tion

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:15.549295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ab0facd4-05df-4e19-bdc9-0853e4cb3386 · outbound

This paper cites Deep multi-instance networks with sparse label assignment for whole mammogram classification.

Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis Deep multi-instance networks with sparse label assignment for whole mammogram classification

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:15.334489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e915cf44-cc47-436c-890a-a5bb1ed97961 · outbound

This paper cites Dgr-mil: Exploring diverse global representation in multiple instance learning for whole slide image classification.

Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis Dgr-mil: Exploring diverse global representation in multiple instance learning for whole slide image classification

Reference 78

Resolution: malformed identifier; raw_fallback, observed 2026-08-06T20:37:15.151308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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