Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation | Paper Citation Record

Observation b3fde343-ac4d-4c36-850a-e39317da91e0 · outbound

This paper cites Computational pathology definitions, best practices, and recommendations for regulatory guidance: a white paper from the digital pathology association.

Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation Computational pathology definitions, best practices, and recommendations for regulatory guidance: a white paper from the digital pathology association

Reference 1

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Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation GPT-4 Technical Report

Reference 2

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This paper cites Multimodal biomedical ai.

Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation Multimodal biomedical ai

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-16T10:13:04.350321Z

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This paper cites Adam: A Method for Stochastic Optimization.

Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation Adam: A Method for Stochastic Optimization

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-16T10:13:04.359876Z

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This paper cites Social media: pathologists’ force multiplier.

Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation Social media: pathologists’ force multiplier

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T10:13:04.365079Z

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This paper cites Publicly Available Clinical BERT Embeddings.

Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation Publicly Available Clinical BERT Embeddings

Reference 6

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This paper cites Bach: Grand challenge on breast cancer his- tology images.

Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation Bach: Grand challenge on breast cancer his- tology images

Reference 7

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This paper cites Viable and necrotic tumor assessment from whole slide im- ages of osteosarcoma using machine-learning and deep- learning models.

Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation Viable and necrotic tumor assessment from whole slide im- ages of osteosarcoma using machine-learning and deep- learning models

Reference 8

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This paper cites Robust and data-efficient generalization of self-supervised machine learning for diagnostic imaging.

Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation Robust and data-efficient generalization of self-supervised machine learning for diagnostic imaging

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T10:13:04.414410Z

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This paper cites From detection of individ- ual metastases to classification of lymph node status at the patient level: the camelyon17 challenge.

Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation From detection of individ- ual metastases to classification of lymph node status at the patient level: the camelyon17 challenge

Reference 10

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This paper cites Unitopatho, a labeled histopathological dataset for colorectal polyps classification and adenoma dysplasia grading.

Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation Unitopatho, a labeled histopathological dataset for colorectal polyps classification and adenoma dysplasia grading

Reference 11

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This paper cites A multi-scale superpixel classification approach to the detec- tion of regions of interest in whole slide histopathology im- ages.

Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation A multi-scale superpixel classification approach to the detec- tion of regions of interest in whole slide histopathology im- ages

Reference 12

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This paper cites Diagnos- tic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer.Jama, 318(22):2199–2210, 2017.

Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation Diagnos- tic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer.Jama, 318(22):2199–2210, 2017

Reference 13

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This paper cites Computational pathology in 2030: a delphi study forecasting the role of ai in pathology within the next decade.

Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation Computational pathology in 2030: a delphi study forecasting the role of ai in pathology within the next decade

Reference 14

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This paper cites PALM: Pre-training an Autoencoding&Autoregressive Language Model for Context-conditioned Generation.

Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation PALM: Pre-training an Autoencoding&Autoregressive Language Model for Context-conditioned Generation

Reference 15

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This paper cites A histopatho- logical image dataset for grading breast invasive ductal carcinomas.

Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation A histopatho- logical image dataset for grading breast invasive ductal carcinomas

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T10:13:04.513085Z

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This paper cites Lung and Colon Cancer Histopathological Image Dataset (LC25000).

Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation Lung and Colon Cancer Histopathological Image Dataset (LC25000)

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-16T10:13:04.520460Z

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This paper cites Bracs: A dataset for breast carcinoma subtyping in h&e histology images.

Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation Bracs: A dataset for breast carcinoma subtyping in h&e histology images

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-16T10:13:04.526191Z

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This paper cites Integrative analysis of histological textures and lymphocyte infiltration in renal cell carcinoma using deep learning.

Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation Integrative analysis of histological textures and lymphocyte infiltration in renal cell carcinoma using deep learning

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-16T10:13:04.535979Z

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This paper cites Artificial intelligence for diagnosis and gleason grading of prostate cancer: the panda challenge.

Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation Artificial intelligence for diagnosis and gleason grading of prostate cancer: the panda challenge

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-16T10:13:04.543670Z

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This paper cites Clinical-grade computational pathology using weakly supervised deep learning on whole slide im- ages.

Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation Clinical-grade computational pathology using weakly supervised deep learning on whole slide im- ages

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-16T10:13:04.552901Z

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Observation d960295c-fb61-45ad-b2a7-131b1a3cb3f3 · outbound

This paper cites Emerging properties in self-supervised vision transformers.

Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation Emerging properties in self-supervised vision transformers

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-16T10:13:04.562424Z

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This paper cites A New Era in Computational Pathology: A Survey on Foundation and Vision-Language Models.

Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation A New Era in Computational Pathology: A Survey on Foundation and Vision-Language Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-16T10:13:04.568905Z

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This paper cites Fast and scalable search of whole-slide images via self-supervised deep learning.

Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation Fast and scalable search of whole-slide images via self-supervised deep learning

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-16T10:13:04.579704Z

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

Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation Scaling vision transformers to gigapixel images via hierarchical self-supervised learning

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-16T10:13:04.587700Z

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This paper cites Towards a general-purpose foundation model for computational pathology.Nature Medicine, 30(3):850–862,.

Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation Towards a general-purpose foundation model for computational pathology.Nature Medicine, 30(3):850–862,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-16T10:13:04.600046Z

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

Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation A simple framework for contrastive learning of visual representations

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-16T10:13:04.631573Z

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Observation b13d2965-dc0e-4693-b5a7-82b1b0400f29 · outbound

This paper cites Exploring simple siamese representation learning.

Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation Exploring simple siamese representation learning

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-16T10:13:04.643151Z

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This paper cites An empirical study of train- ing self-supervised vision transformers.

Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation An empirical study of train- ing self-supervised vision transformers

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-16T10:13:04.656060Z

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This paper cites Ai in computational pathol- ogy of cancer: Improving diagnostic workflows and clini- cal outcomes? Annual Review of Cancer Biology, 7:57–71,.

Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation Ai in computational pathol- ogy of cancer: Improving diagnostic workflows and clini- cal outcomes? Annual Review of Cancer Biology, 7:57–71,

Reference 30

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This paper cites Whole-slide imaging: routine pathologic diagnosis.

Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation Whole-slide imaging: routine pathologic diagnosis

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-16T10:13:04.683050Z

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This paper cites Accurate and reproducible invasive breast cancer detection in whole-slide images: A deep learning approach for quan- tifying tumor extent.

Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation Accurate and reproducible invasive breast cancer detection in whole-slide images: A deep learning approach for quan- tifying tumor extent

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-16T10:13:04.692601Z

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This paper cites Artificial intelligence and computational pathology.

Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation Artificial intelligence and computational pathology

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-16T10:13:04.704818Z

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This paper cites Digestpath: A benchmark dataset with challenge review for the pathological detection and seg- mentation of digestive-system.

Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation Digestpath: A benchmark dataset with challenge review for the pathological detection and seg- mentation of digestive-system

Reference 34

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This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-16T10:13:04.735298Z

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This paper cites Multi-scale fully convolutional network for gland segmentation using three-class classification.

Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation Multi-scale fully convolutional network for gland segmentation using three-class classification

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-16T10:13:04.743971Z

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

Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-16T10:13:04.751363Z

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This paper cites Deep learning in cancer pathology: a new gen- eration of clinical biomarkers.

Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation Deep learning in cancer pathology: a new gen- eration of clinical biomarkers

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-16T10:13:04.757522Z

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This paper cites The cptac data portal: a re- source for cancer proteomics research.

Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation The cptac data portal: a re- source for cancer proteomics research

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-16T10:13:04.763436Z

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This paper cites Multiple instance cap- tioning: Learning representations from histopathology text- books and articles.

Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation Multiple instance cap- tioning: Learning representations from histopathology text- books and articles

Reference 40

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This paper cites Pannuke: an open pan- cancer histology dataset for nuclei instance segmentation and classification.

Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation Pannuke: an open pan- cancer histology dataset for nuclei instance segmentation and classification

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-16T10:13:04.782533Z

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This paper cites Hover-net: Simultaneous segmentation and classi- fication of nuclei in multi-tissue histology images.

Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation Hover-net: Simultaneous segmentation and classi- fication of nuclei in multi-tissue histology images

Reference 42

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This paper cites Bootstrap your own latent-a new approach to self-supervised learning.

Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation Bootstrap your own latent-a new approach to self-supervised learning

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-16T10:13:04.806476Z

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This paper cites Domain-specific language model pre- training for biomedical natural language processing.

Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation Domain-specific language model pre- training for biomedical natural language processing

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-16T10:13:04.817131Z

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This paper cites WSSS4LUAD: Grand Challenge on Weakly-supervised Tissue Semantic Segmentation for Lung Adenocarcinoma.

Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation WSSS4LUAD: Grand Challenge on Weakly-supervised Tissue Semantic Segmentation for Lung Adenocarcinoma

Reference 45

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This paper cites Whole slide imaging: technology and appli- cations.

Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation Whole slide imaging: technology and appli- cations

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-16T10:13:04.839203Z

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This paper cites Multi-scale domain-adversarial multiple-instance cnn for cancer subtype classification with unannotated histopatho- logical images.

Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation Multi-scale domain-adversarial multiple-instance cnn for cancer subtype classification with unannotated histopatho- logical images

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-16T10:13:04.850384Z

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This paper cites Computational pathology: a survey review and the way forward.

Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation Computational pathology: a survey review and the way forward

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-16T10:13:04.861337Z

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

Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation A visual–language foundation model for pathology image analysis using medical twitter

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-16T10:13:04.869434Z

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This paper cites Grand challenge on breast cancer histology images.

Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation Grand challenge on breast cancer histology images

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-16T10:13:04.880557Z

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This paper cites Quilt-1m: One million image-text pairs for histopathology.

Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation Quilt-1m: One million image-text pairs for histopathology

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-16T10:13:04.888206Z

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This paper cites Attention-based deep multiple instance learning.

Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation Attention-based deep multiple instance learning

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-16T10:13:04.900168Z

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This paper cites Cplip: Zero-shot learning for histopathology with comprehensive vision-language alignment.

Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation Cplip: Zero-shot learning for histopathology with comprehensive vision-language alignment

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-16T10:13:04.926471Z

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This paper cites Mimic-iii, a freely accessible critical care database.

Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation Mimic-iii, a freely accessible critical care database

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-16T10:13:04.936094Z

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This paper cites Benchmarking self-supervised learn- ing on diverse pathology datasets.

Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation Benchmarking self-supervised learn- ing on diverse pathology datasets

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-16T10:13:04.962276Z

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This paper cites Si- mil: Taming deep mil for self-interpretability in gigapixel histopathology.

Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation Si- mil: Taming deep mil for self-interpretability in gigapixel histopathology

Reference 56

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This paper cites 100,000 histological images of human colorectal cancer and healthy tissue.

Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation 100,000 histological images of human colorectal cancer and healthy tissue

Reference 57

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Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation Application of artificial intelligence in pathology: Trends and challenges

Reference 58

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Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation Wilds: A benchmark of in-the-wild distri- bution shifts

Reference 59

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This paper cites Deep learning for the detection of anatomical tissue structures and neoplasms of the skin on scanned histopathological tissue sections.

Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation Deep learning for the detection of anatomical tissue structures and neoplasms of the skin on scanned histopathological tissue sections

Reference 60

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Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation Dual-stream multiple instance learning network for whole slide image classifica- tion with self-supervised contrastive learning

Reference 61

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Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connections

Reference 62

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Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation Align and prompt: Video-and- language pre-training with entity prompts

Reference 63

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Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation Generalizable whole slide image classification with fine- grained visual-semantic interaction

Reference 64

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This paper cites A multi- resolution model for histopathology image classification and localization with multiple instance learning.Computers in biology and medicine, 131:104253, 2021.

Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation A multi- resolution model for histopathology image classification and localization with multiple instance learning.Computers in biology and medicine, 131:104253, 2021

Reference 65

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Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation Selvaraju, Akhilesh Deepak Gotmare, Shafiq Joty, Caiming Xiong, and Steven Hoi

Reference 66

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Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation Blip: Bootstrapping language-image pre-training for uni- fied vision-language understanding and generation

Reference 67

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Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models

Reference 68

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This paper cites Dynamic graph rep- resentation with knowledge-aware attention for histopathol- ogy whole slide image analysis.

Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation Dynamic graph rep- resentation with knowledge-aware attention for histopathol- ogy whole slide image analysis

Reference 69

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Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation Self-supervised learning: Generative or contrastive

Reference 70

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Observation faafda6c-bec9-4c54-b22a-673d5a32eb92 · outbound

This paper cites Towards a Visual-Language Foundation Model for Computational Pathology.

Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation Towards a Visual-Language Foundation Model for Computational Pathology

Reference 71

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Observation c1742136-fc98-48c8-9c2c-00d6f229261c · outbound

This paper cites Visual lan- guage pretrained multiple instance zero-shot transfer for histopathology images.

Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation Visual lan- guage pretrained multiple instance zero-shot transfer for histopathology images

Reference 72

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This paper cites A mul- timodal generative ai copilot for human pathology.

Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation A mul- timodal generative ai copilot for human pathology

Reference 73

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This paper cites You’re on social media! so now what? Archives of Pathology & Lab- oratory Medicine, 140(5):393–393, 2016.

Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation You’re on social media! so now what? Archives of Pathology & Lab- oratory Medicine, 140(5):393–393, 2016

Reference 74

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This paper cites A threshold selection method from gray- level histograms.

Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation A threshold selection method from gray- level histograms

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:13:09.507649Z

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This paper cites Review of the current state of whole slide imaging in pathology.

Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation Review of the current state of whole slide imaging in pathology

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:13:09.456234Z

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Observation 8531f818-25bd-4155-9a6b-0cc5fa1c8105 · outbound

This paper cites Hun- crc: annotated pathological slides to enhance deep learning applications in colorectal cancer screening.

Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation Hun- crc: annotated pathological slides to enhance deep learning applications in colorectal cancer screening

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:13:09.419025Z

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Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation Language models are unsupervised multitask learners

Reference 78

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This paper cites Learn- ing transferable visual models from natural language super- vision.

Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation Learn- ing transferable visual models from natural language super- vision

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:13:09.325343Z

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This paper cites The digital brain tumour atlas, an open histopathology resource.

Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation The digital brain tumour atlas, an open histopathology resource

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:13:09.287034Z

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This paper cites Quilt-llava: Visual instruction tuning by extracting localized narratives from open-source histopathology videos.

Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation Quilt-llava: Visual instruction tuning by extracting localized narratives from open-source histopathology videos

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:13:09.239331Z

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Observation 9325a79f-6ce1-45cc-8e79-b3e9a1518d7a · outbound

This paper cites Cancer diagnosis using artificial intelligence: A review.

Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation Cancer diagnosis using artificial intelligence: A review

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:13:09.206418Z

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This paper cites TIAger: Tumor-Infiltrating Lymphocyte Scoring in Breast Cancer for the TiGER Challenge.

Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation TIAger: Tumor-Infiltrating Lymphocyte Scoring in Breast Cancer for the TiGER Challenge

Reference 83

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Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation Vila-mil: Dual-scale vision-language multiple instance learning for whole slide image classification

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:13:09.133692Z

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This paper cites Self-learning for weakly supervised glea- son grading of local patterns.

Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation Self-learning for weakly supervised glea- son grading of local patterns

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:13:09.086732Z

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Observation e6d2df74-7488-4527-8696-b5b26e242c18 · outbound

This paper cites Artificial intelligence for digital and computa- tional pathology.

Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation Artificial intelligence for digital and computa- tional pathology

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:13:09.051229Z

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Observation 73cd61b8-3990-4c8a-a375-55fe7f0cd9ce · outbound

This paper cites Mor- phological prototyping for unsupervised slide representa- tion learning in computational pathology.

Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation Mor- phological prototyping for unsupervised slide representa- tion learning in computational pathology

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:13:09.005487Z

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Observation bddedc04-5508-4a4c-8cfc-f90b787c63ff · outbound

This paper cites Deep neural network models for computational histopathology: A survey.

Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation Deep neural network models for computational histopathology: A survey

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:13:08.954738Z

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Observation 655111d6-40e1-41e9-92b7-8f933a3f0022 · outbound

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

Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation Feature re-embedding: Towards foun- dation model-level performance in computational pathol- ogy

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:13:08.913941Z

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Observation 650313a9-6504-4c58-8c2c-cda5030d2d45 · outbound

This paper cites The digital brain tumour atlas, an open histopathology resource.

Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation The digital brain tumour atlas, an open histopathology resource

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:13:08.860215Z

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Observation 88d26425-dd23-44f1-bc58-0ed33d025a24 · outbound

This paper cites Adaptive weighting multi-field-of-view cnn for semantic segmentation in pathology.

Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation Adaptive weighting multi-field-of-view cnn for semantic segmentation in pathology

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:13:08.827229Z

Source-reported events for the cited work

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Observation c703b914-3c47-4978-952a-483f9326b94b · outbound

This paper cites Hooknet: Multi-resolution convolutional neural networks for seman- tic segmentation in histopathology whole-slide images.

Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation Hooknet: Multi-resolution convolutional neural networks for seman- tic segmentation in histopathology whole-slide images

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:13:08.793901Z

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Observation 5d70360b-ee38-4659-814a-438d521f16a2 · outbound

This paper cites Rotation equivariant cnns for dig- ital pathology.

Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation Rotation equivariant cnns for dig- ital pathology

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:13:08.764559Z

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Observation 235db581-e13b-40bf-9dfd-9e3ce9561a7a · outbound

This paper cites Computational pathology in cancer diagnosis, prog- nosis, and prediction–present day and prospects.

Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation Computational pathology in cancer diagnosis, prog- nosis, and prediction–present day and prospects

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:13:08.721460Z

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Observation a86f262d-8b70-47a2-8658-135824d2ecfe · outbound

This paper cites A foundation model for clinical-grade computational pathology and rare cancers detection.

Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation A foundation model for clinical-grade computational pathology and rare cancers detection

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:13:08.693577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 31fca224-7f41-4a71-b0f7-4d9074b63119 · outbound

This paper cites Handcrafted histological transformer (h2t): Unsupervised representation of whole slide images.

Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation Handcrafted histological transformer (h2t): Unsupervised representation of whole slide images

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:13:08.654052Z

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Observation a2c64619-e4af-4722-927e-cb8c28c333e0 · outbound

This paper cites Transformer-based unsupervised contrastive learning for histopathological image classification.Medical image anal- ysis, 81:102559, 2022.

Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation Transformer-based unsupervised contrastive learning for histopathological image classification.Medical image anal- ysis, 81:102559, 2022

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:13:08.591598Z

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Observation a899b694-fc82-4bb1-8106-c80c81adb0b5 · outbound

This paper cites A pathology foundation model for cancer diagnosis and prognosis prediction.

Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation A pathology foundation model for cancer diagnosis and prognosis prediction

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:13:08.552899Z

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Observation a682a930-829a-433c-acf8-614b64fcf3cc · outbound

This paper cites A petri dish for histopathology image analysis.

Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation A petri dish for histopathology image analysis

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:13:08.517905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 648a2cd8-8e65-4c96-8517-f5880f98acbc · outbound

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

Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation The cancer genome atlas pan-cancer analysis project

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:13:08.494800Z

Source-reported events for the cited work

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