Recent Advances in Medical Image Classification | Paper Citation Record

Observation 0749e29d-eacc-41ce-bd99-85e9968271cb · outbound

This paper cites BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image -text pairs,.

Recent Advances in Medical Image Classification BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image -text pairs,

Reference 1

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Observation bffef1a8-316f-4c1b-8252-7ca8c5985af2 · outbound

This paper cites XrayGPT: Chest radiographs summarization using medical vision-language models,.

Recent Advances in Medical Image Classification XrayGPT: Chest radiographs summarization using medical vision-language models,

Reference 2

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Observation 8846e939-0bb1-42c0-a97c-67c113ca19a1 · outbound

This paper cites M-FLAG: Medical vision-language pre-training with frozen language models and Latent spAce Geometry optimization,.

Recent Advances in Medical Image Classification M-FLAG: Medical vision-language pre-training with frozen language models and Latent spAce Geometry optimization,

Reference 3

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Observation 7e6a3cc2-1722-47ce-93e3-76c7342dd2d5 · outbound

This paper cites MedBLIP: Bootstrapping language-image pre-training from 3D medical images and texts,.

Recent Advances in Medical Image Classification MedBLIP: Bootstrapping language-image pre-training from 3D medical images and texts,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:56.340479Z

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Observation 05e7371a-059a-492e-a5f9-1096694c1223 · outbound

This paper cites Lea rning to exploit temporal structure for biomedical vision-language processing,.

Recent Advances in Medical Image Classification Lea rning to exploit temporal structure for biomedical vision-language processing,

Reference 5

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Observation 86a8e103-dffe-4d63-8859-1f573c5b106f · outbound

This paper cites PM2: A new prompting multi-modal model paradigm for few-shot medical image classification,.

Recent Advances in Medical Image Classification PM2: A new prompting multi-modal model paradigm for few-shot medical image classification,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:56.279747Z

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Observation b4d4a40c-9b90-45b6-af99-678323a5450d · outbound

This paper cites DeViDe: Faceted medical knowledge for improved medical vision -language pre- training,.

Recent Advances in Medical Image Classification DeViDe: Faceted medical knowledge for improved medical vision -language pre- training,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:56.255947Z

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Observation 9c043990-6471-497a-9326-be710db240a8 · outbound

This paper cites MedCLIP: Contrastive learning from unpaired medical images and text,.

Recent Advances in Medical Image Classification MedCLIP: Contrastive learning from unpaired medical images and text,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:56.232468Z

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Observation 57f410b6-8592-40a1-8419-e493ddb987a4 · outbound

This paper cites Expert-level detection of pathologies from unannotated chest X -ray images via self-supervised learning,.

Recent Advances in Medical Image Classification Expert-level detection of pathologies from unannotated chest X -ray images via self-supervised learning,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:56.187565Z

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Observation 6e3b4cba-7c5b-44de-8a66-88220a4c3409 · outbound

This paper cites MedKLIP: Medical knowledge enhanced language -image pre-training in radiology,.

Recent Advances in Medical Image Classification MedKLIP: Medical knowledge enhanced language -image pre-training in radiology,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:56.163867Z

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Observation 3dfb0953-d8c9-4f3e-a8ba-44096ada55df · outbound

This paper cites Very deep convolutional networks for large-scale image recognition,.

Recent Advances in Medical Image Classification Very deep convolutional networks for large-scale image recognition,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:56.138407Z

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Observation 0a88f09f-76e1-44dd-9e7a-e664790360df · outbound

This paper cites Going Deeper with Convolutions.

Recent Advances in Medical Image Classification Going Deeper with Convolutions

Reference 12

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Observation 62daf2ef-ab7c-4269-8599-8bd41fc0f206 · outbound

This paper cites Deep residual learning for image recognition,.

Recent Advances in Medical Image Classification Deep residual learning for image recognition,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:56.100330Z

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Observation 2dca9103-282d-485c-a346-1d264392acf4 · outbound

This paper cites EfficientNet: Rethinking model scaling for convolutional Neural Networks,.

Recent Advances in Medical Image Classification EfficientNet: Rethinking model scaling for convolutional Neural Networks,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:56.068930Z

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Observation 0f03f78a-fdaa-409f-84ad-07eee479d9b8 · outbound

This paper cites Semi -supervised classification with graph convolutional networks,.

Recent Advances in Medical Image Classification Semi -supervised classification with graph convolutional networks,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:56.037884Z

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Observation 87d6e615-7abd-4500-a0c6-5782097db99c · outbound

This paper cites Graph Attention Networks,.

Recent Advances in Medical Image Classification Graph Attention Networks,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:56.011763Z

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Observation 7338bbf9-e825-4cc7-8cb5-1f7a78dc00c8 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale,.

Recent Advances in Medical Image Classification An image is worth 16x16 words: Transformers for image recognition at scale,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:55.978714Z

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Observation 66a4bd96-8fa9-430a-a47c-70ea4f048e24 · outbound

This paper cites Training data -efficient image transformers & distillation through attention.

Recent Advances in Medical Image Classification Training data -efficient image transformers & distillation through attention

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:55.951215Z

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Observation 655f1b1d-354b-4868-a88f-00bcff86d2f5 · outbound

This paper cites TransUNet: Transformers m ake strong encoders for medical image segmentation,.

Recent Advances in Medical Image Classification TransUNet: Transformers m ake strong encoders for medical image segmentation,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:55.930625Z

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Observation 40f969dd-d436-456a-83f2-eb8fdfb44555 · outbound

This paper cites TransUNet＋ : Redesigning the skip connection to enhance features in medical image segmentation,.

Recent Advances in Medical Image Classification TransUNet＋ : Redesigning the skip connection to enhance features in medical image segmentation,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:55.909630Z

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Observation 21ed1a64-173f-4ec9-9651-f8185922efde · outbound

This paper cites TransU-Net++: Rethinking attention gated TransU-Net for deforestation mapping,.

Recent Advances in Medical Image Classification TransU-Net++: Rethinking attention gated TransU-Net for deforestation mapping,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:55.877731Z

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Observation 6d2e4c62-b60c-40b7-b31d-2504515b3aec · outbound

This paper cites Why should I trust you?: Explaining the predictions of any classifier,.

Recent Advances in Medical Image Classification Why should I trust you?: Explaining the predictions of any classifier,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:55.851637Z

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Observation 9d811488-afca-4a66-bc03-62e8c32c28dd · outbound

This paper cites A unified approa ch to interpreting model predictions,.

Recent Advances in Medical Image Classification A unified approa ch to interpreting model predictions,

Reference 23

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Observation a6e6648a-bb8d-4925-8feb-8617562311f7 · outbound

This paper cites Learning deep features for discriminative localization,.

Recent Advances in Medical Image Classification Learning deep features for discriminative localization,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:55.787705Z

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Observation 94ceed59-9298-4316-a89d-1d03a14c25ee · outbound

This paper cites Grad -CAM: Visual explanations from deep networks via Gradient-based localization,.

Recent Advances in Medical Image Classification Grad -CAM: Visual explanations from deep networks via Gradient-based localization,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:55.761147Z

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This paper cites Grad-CAM++: Improved visual explanations for deep convolutional networks,.

Recent Advances in Medical Image Classification Grad-CAM++: Improved visual explanations for deep convolutional networks,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:55.735049Z

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Observation 829fb242-e1a0-4a9d-a277-ef96af2f0c91 · outbound

This paper cites ProtoPFormer: Concentrating on prototypical parts in vision transformers for interpretable image recognition,.

Recent Advances in Medical Image Classification ProtoPFormer: Concentrating on prototypical parts in vision transformers for interpretable image recognition,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:55.694622Z

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Observation 87187f78-73c4-400a-9c5d-ef9142102c9c · outbound

This paper cites X -Pruner: eXplainable pruning for vision transformers,.

Recent Advances in Medical Image Classification X -Pruner: eXplainable pruning for vision transformers,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:55.669890Z

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Observation 33992ac1-9c54-4111-a10a-4daa004cea44 · outbound

This paper cites An XAI integrated identification system of white blood cell type using variants of vision transformer,.

Recent Advances in Medical Image Classification An XAI integrated identification system of white blood cell type using variants of vision transformer,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:55.649366Z

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Observation 0d19b893-82d7-4d2f-9017-82ca742824f1 · outbound

This paper cites U -Net: Convolutional Networks for Biomedical Image Segmentation,.

Recent Advances in Medical Image Classification U -Net: Convolutional Networks for Biomedical Image Segmentation,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:55.624006Z

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Observation 16befc2b-14b4-45a8-aec6-e0c2c25d1563 · outbound

This paper cites UNet++: A Nested U-Net Architecture for Medical Image Segmentation,.

Recent Advances in Medical Image Classification UNet++: A Nested U-Net Architecture for Medical Image Segmentation,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:55.603652Z

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Observation 5d47c833-90c9-4420-ae78-a9f48af32d87 · outbound

This paper cites Malaria Parasite Detection using Efficient Neural Ensembles,.

Recent Advances in Medical Image Classification Malaria Parasite Detection using Efficient Neural Ensembles,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:55.584498Z

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Observation 36c32200-a6d9-4857-bfa3-5def09adfc4b · outbound

This paper cites Image projective transformation rectification with synthetic data for smartphone -captured chest X -ray photos classification,.

Recent Advances in Medical Image Classification Image projective transformation rectification with synthetic data for smartphone -captured chest X -ray photos classification,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:55.556357Z

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Observation cc5aed14-c88b-43fd-80f6-0f816c702692 · outbound

This paper cites CCF -GNN: A unified model aggregating appearance, microenvironment, and topology for pathology image classification,.

Recent Advances in Medical Image Classification CCF -GNN: A unified model aggregating appearance, microenvironment, and topology for pathology image classification,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:55.524587Z

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Observation e98d4bc6-e2b3-4f46-af55-6e55f2c7b717 · outbound

This paper cites GazeGNN: A gaze-guided graph neural network for chest X-ray classification,.

Recent Advances in Medical Image Classification GazeGNN: A gaze-guided graph neural network for chest X-ray classification,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:55.496201Z

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Observation 779685df-b0c2-4a67-8014-a26e6bd6a710 · outbound

This paper cites Self -Ensembling Vision Transformer (SEViT) for Robust Medical Image Classification,.

Recent Advances in Medical Image Classification Self -Ensembling Vision Transformer (SEViT) for Robust Medical Image Classification,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:55.467393Z

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Observation a7744a34-6a63-4154-9a4d-a351e01091a6 · outbound

This paper cites MedViT: A robust vision transformer for generalized medical image classification,.

Recent Advances in Medical Image Classification MedViT: A robust vision transformer for generalized medical image classification,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:55.445308Z

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Observation dfa1b1bd-8da6-4a87-a3f7-55692f0bd848 · outbound

This paper cites BERTHop: An effective vision -and-language model for chest X-ray disease diagnosis,.

Recent Advances in Medical Image Classification BERTHop: An effective vision -and-language model for chest X-ray disease diagnosis,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:55.420524Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 22a0f07e-7636-471b-a7a4-19d6090c9b3e · outbound

This paper cites Knowledge - enhanced visual-language pre-training on chest radiology images,.

Recent Advances in Medical Image Classification Knowledge - enhanced visual-language pre-training on chest radiology images,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:55.396652Z

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Observation 16074d91-fd83-467b-b82e-c7fcde672e73 · outbound

This paper cites CLIPath: Fine-tune CLIP with visual feature fusion for pathology image analysis towards minimizing data collection efforts,.

Recent Advances in Medical Image Classification CLIPath: Fine-tune CLIP with visual feature fusion for pathology image analysis towards minimizing data collection efforts,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:55.355448Z

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Observation 0dca4867-b6ff-44cf-bffc-eceea4d2140f · outbound

This paper cites Contrastive Learning of Medical Visual Representations from Paired Images and Text,.

Recent Advances in Medical Image Classification Contrastive Learning of Medical Visual Representations from Paired Images and Text,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:55.332026Z

Source-reported events for the cited work

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Observation 5adc690a-2147-4916-9ec7-e35257c08b48 · outbound

This paper cites Multitask deep learning for segmentation and classification of primary bone tumors on radiographs,.

Recent Advances in Medical Image Classification Multitask deep learning for segmentation and classification of primary bone tumors on radiographs,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:55.311180Z

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Observation 22046e11-d212-4939-8dae-cb60d4ea9bf9 · outbound

This paper cites One model is all you need: Multi-task learning enables simultaneous histology image segmentation and classification,.

Recent Advances in Medical Image Classification One model is all you need: Multi-task learning enables simultaneous histology image segmentation and classification,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:55.292301Z

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Observation 69e868fe-6732-4bdf-a21c-2cfd2eaa8b38 · outbound

This paper cites MNC-Net: Multi- task graph structure learning based on node clustering for early Parkinson’s disease diagnosis,.

Recent Advances in Medical Image Classification MNC-Net: Multi- task graph structure learning based on node clustering for early Parkinson’s disease diagnosis,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:55.272543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b0eb5803-252b-4c2d-b414-f9b157b0192d · outbound

This paper cites Attention based multi - task interpretable graph convolutional network for Alzheimer’s disease analysis,.

Recent Advances in Medical Image Classification Attention based multi - task interpretable graph convolutional network for Alzheimer’s disease analysis,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:55.249730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3f72989b-8187-42a6-b694-327a5b1f4c06 · outbound

This paper cites Transformer -based multi-task learning for classification and segmentation of gastrointestinal tract endoscopic images,.

Recent Advances in Medical Image Classification Transformer -based multi-task learning for classification and segmentation of gastrointestinal tract endoscopic images,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:55.218832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ef292511-af1e-47c0-9539-c39d73952668 · outbound

This paper cites Multi -task approach based on combined CNN-transformer for efficient segmentation and classification of breast tumors in ultrasound ima ges,.

Recent Advances in Medical Image Classification Multi -task approach based on combined CNN-transformer for efficient segmentation and classification of breast tumors in ultrasound ima ges,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:55.186074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 69ee3eed-2e01-4402-a5b9-58d5b30e13b8 · outbound

This paper cites GLoRIA: A multimodal global -local representation learning framework for label - efficient medical image recognition,.

Recent Advances in Medical Image Classification GLoRIA: A multimodal global -local representation learning framework for label - efficient medical image recognition,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:55.162103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e8f50f2a-40bf-4f51-9c7c-ebb3055e64b8 · outbound

This paper cites Anatomical Structure-Guided medical vision-language pre- training,.

Recent Advances in Medical Image Classification Anatomical Structure-Guided medical vision-language pre- training,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:55.142918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 32cebb89-db83-440a-a87b-bd061099b1db · outbound

This paper cites MeDSLIP: Medical Dual-Stream Language-Image Pre- training for fine-grained alignment,.

Recent Advances in Medical Image Classification MeDSLIP: Medical Dual-Stream Language-Image Pre- training for fine-grained alignment,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:55.122440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 740877c4-57e9-46d1-bb70-858b00aaa7de · outbound

This paper cites Improving medical vision-language contrastive pretraining with semantics-aware triage,.

Recent Advances in Medical Image Classification Improving medical vision-language contrastive pretraining with semantics-aware triage,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:55.103459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a3a5220a-3c90-4e6e-815c-0e4ae5f5c14d · outbound

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

Recent Advances in Medical Image Classification A visual -language foundation model for computational pathology,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:55.082821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1124825d-3c75-425f-8249-d2d39f875a55 · outbound

This paper cites ECAMP: Entity-centered context-aware Medical Vision language pre-training,.

Recent Advances in Medical Image Classification ECAMP: Entity-centered context-aware Medical Vision language pre-training,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:55.059597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 690ea122-baf7-4833-980d-51d4ad5597d3 · outbound

This paper cites Reduction of false -positive markings on mammograms: A retrospective comparison study using an artificial intelligence -based CAD,.

Recent Advances in Medical Image Classification Reduction of false -positive markings on mammograms: A retrospective comparison study using an artificial intelligence -based CAD,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:55.032619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5dc39699-0db7-44e9-ba4a-4a08a52960f9 · outbound

This paper cites Artificial intelligence for breast ca ncer screening in mammography (AI -STREAM): Preliminary interim analysis of a prospective multicenter cohort study,.

Recent Advances in Medical Image Classification Artificial intelligence for breast ca ncer screening in mammography (AI -STREAM): Preliminary interim analysis of a prospective multicenter cohort study,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:55.008339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation aadea2ff-ecae-4cac-b12f-9c74db64bf2c · outbound

This paper cites Applicability of artificial intelligence -based computer- aided detection (AI –CAD) for pulmonary tuberculosis to comm unity- based active case finding,.

Recent Advances in Medical Image Classification Applicability of artificial intelligence -based computer- aided detection (AI –CAD) for pulmonary tuberculosis to comm unity- based active case finding,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:54.984255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fbdc88a0-4bb6-4298-9c83-971d4f77bced · outbound

This paper cites Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs,.

Recent Advances in Medical Image Classification Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:54.963076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e6e2b560-0bcd-4805-a4c5-a9a8ee56d715 · outbound

This paper cites Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning,.

Recent Advances in Medical Image Classification Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:54.941368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9df36398-3cca-4c7b-b953-3aa71919997a · outbound

This paper cites Dermatologist -level classification of skin cancer with deep neural networks,.

Recent Advances in Medical Image Classification Dermatologist -level classification of skin cancer with deep neural networks,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:54.920743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7831d6e8-1462-45bc-8331-0133ad5a91b1 · outbound

This paper cites Man against machine: diagnostic performance of a deep learning convolutional neural network for dermoscopic melanoma recognition in comparison to 58 dermatologists,.

Recent Advances in Medical Image Classification Man against machine: diagnostic performance of a deep learning convolutional neural network for dermoscopic melanoma recognition in comparison to 58 dermatologists,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:54.899333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3423e339-abb6-4aec-a65e-173b4f670260 · outbound

This paper cites An intelligent auxiliary framework for bone malignant tumor lesion segmentation in medical image analysis,.

Recent Advances in Medical Image Classification An intelligent auxiliary framework for bone malignant tumor lesion segmentation in medical image analysis,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:54.877779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 76a31fa0-325c-45c4-b185-fc60f6a74a3f · outbound

This paper cites Automated bone tumor segmentation and classification as benign or malignant using computed tomographic imaging,.

Recent Advances in Medical Image Classification Automated bone tumor segmentation and classification as benign or malignant using computed tomographic imaging,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:54.856937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 393f8260-d687-4a8a-bc72-bcbb8d602141 · outbound

This paper cites an unresolved cited work.

Recent Advances in Medical Image Classification Unresolved cited work

Reference 63

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:50:54.835430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6b8f71c5-6e2b-441d-9dcc-ddcf31e62e81 · outbound

This paper cites Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer,.

Recent Advances in Medical Image Classification Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:54.815285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d7abaeac-07f1-4b5f-a782-7d585f6553f9 · outbound

This paper cites Pivotal trial of an autonomous AI -based diagnostic system for detection of diabetic retinopathy in primary care offices,.

Recent Advances in Medical Image Classification Pivotal trial of an autonomous AI -based diagnostic system for detection of diabetic retinopathy in primary care offices,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:54.788872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c8da6153-c66c-4911-a3b1-6b5488b20617 · outbound

This paper cites Applications of deep learning to neuro -imaging techniques,.

Recent Advances in Medical Image Classification Applications of deep learning to neuro -imaging techniques,

Reference 66

Resolution: verified exact; raw_fallback, observed 2026-08-07T10:50:53.968448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4fc6cb16-caa5-4d9b-9680-f82b912f44a6 · outbound

This paper cites Strategies to explo it XAI to improve classification systems,.

Recent Advances in Medical Image Classification Strategies to explo it XAI to improve classification systems,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:54.741694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 25877dc8-79df-45d6-9a29-063233ceff3d · outbound

This paper cites An XAI- based masking approach to improve classification systems,.

Recent Advances in Medical Image Classification An XAI- based masking approach to improve classification systems,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:54.715301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 81f27a77-2065-444b-82b9-fd39a5994414 · outbound

This paper cites A comprehensive study on medical image segmentation using deep neural networks,.

Recent Advances in Medical Image Classification A comprehensive study on medical image segmentation using deep neural networks,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:54.686626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d19c7142-0a9e-4fcb-b880-e58eade77977 · outbound

This paper cites What scans we will read: imaging instrumentation trends in clinical oncology,.

Recent Advances in Medical Image Classification What scans we will read: imaging instrumentation trends in clinical oncology,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:54.471938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation eef6465b-70cd-40f8-9593-c20e7e70eff2 · outbound

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

Recent Advances in Medical Image Classification LVM-Med: Learning large-scale self-supervised vision models for medical imaging via second -order graph matching,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:54.385391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0208cf95-c0e9-45fc-a032-5e8153e6388e · outbound

This paper cites The Medical Segmentation Decathlon,.

Recent Advances in Medical Image Classification The Medical Segmentation Decathlon,

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:54.358113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b0251872-c842-40fb-9491-beb92a413805 · outbound

This paper cites AI -based computer -aided diagnosis (AI -CAD): the latest review to r ead first,.

Recent Advances in Medical Image Classification AI -based computer -aided diagnosis (AI -CAD): the latest review to r ead first,

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:54.327356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e472a52b-2f4e-4eb0-9cbc-310fabf8c7e6 · outbound

This paper cites Cancer statistics, 2024,.

Recent Advances in Medical Image Classification Cancer statistics, 2024,

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:54.299477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 081f3122-4420-4f5b-bba8-cb362f02e206 · outbound

This paper cites Transfer learning for medical image classification: a literature review,.

Recent Advances in Medical Image Classification Transfer learning for medical image classification: a literature review,

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:54.274487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f11d5672-c912-4644-91fe-3e24e8ee8466 · outbound

This paper cites CosSIF: Cosine similarity - based image filtering to overcome low inter -class variation in synthetic medical image datasets,.

Recent Advances in Medical Image Classification CosSIF: Cosine similarity - based image filtering to overcome low inter -class variation in synthetic medical image datasets,

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:54.244819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ac0810df-c289-4370-a7c6-6ae3474ac203 · outbound

This paper cites Semi -supervised learning for medical image classification using imbalanced training data,.

Recent Advances in Medical Image Classification Semi -supervised learning for medical image classification using imbalanced training data,

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:54.213717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 80e37e8c-0a86-412b-b8fb-35ed080f39ed · outbound

This paper cites An effici ent lossless ROI image compression using wavelet-based modified region growing algorithm,.

Recent Advances in Medical Image Classification An effici ent lossless ROI image compression using wavelet-based modified region growing algorithm,

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:54.186882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5fa45b79-077d-4afb-82cc-29dbb0567d5c · outbound

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

Recent Advances in Medical Image Classification Domain adaptation for medical image analysis: A survey,

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:54.152380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c75f7a5a-8cf9-4c7c-9f16-8134c92fb49d · outbound

This paper cites Secure, privacy-preserving and federated machine learning in medical imaging,.

Recent Advances in Medical Image Classification Secure, privacy-preserving and federated machine learning in medical imaging,

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:54.123591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1d10afa8-00fc-43dd-8e68-ff1ac3373562 · outbound

This paper cites Exploring LRP and Grad- CAM visualization to interpret multi -label-multi-class pathology prediction using chest radiography,.

Recent Advances in Medical Image Classification Exploring LRP and Grad- CAM visualization to interpret multi -label-multi-class pathology prediction using chest radiography,

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:54.095486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b3fce197-fe03-4750-b019-c22134a06a84 · outbound

This paper cites Evalu ation of sampling and cross -validation tuning strategies for regional -scale machine learning classification,.

Recent Advances in Medical Image Classification Evalu ation of sampling and cross -validation tuning strategies for regional -scale machine learning classification,

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:54.062053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9ba4ff1b-6700-4b23-8862-5fc56b042e60 · outbound

This paper cites FDA approved Artificial Intelligence and Machine Learning (AI/ML)-Enabled Medical Devices: An updated 2022 landscape,.

Recent Advances in Medical Image Classification FDA approved Artificial Intelligence and Machine Learning (AI/ML)-Enabled Medical Devices: An updated 2022 landscape,

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:54.034504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers