Pretraining Multiple Instance Learning Networks with Multi-Teacher Distillation from Pathology Slide Foundation Models | Paper Citation Record

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Pretraining Multiple Instance Learning Networks with Multi-Teacher Distillation from Pathology Slide Foundation Models Unresolved cited work

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This paper cites Lawrence, and Zhenwen Dai.

Pretraining Multiple Instance Learning Networks with Multi-Teacher Distillation from Pathology Slide Foundation Models Lawrence, and Zhenwen Dai

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This paper cites Applications of discriminative and deep learning feature extraction methods for whole slide image analysis: A survey.Journal of Pathology Informatics, 14:100335, 2023.

Pretraining Multiple Instance Learning Networks with Multi-Teacher Distillation from Pathology Slide Foundation Models Applications of discriminative and deep learning feature extraction methods for whole slide image analysis: A survey.Journal of Pathology Informatics, 14:100335, 2023

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Pretraining Multiple Instance Learning Networks with Multi-Teacher Distillation from Pathology Slide Foundation Models Knowledge distillation: A good teacher is patient and consistent

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Pretraining Multiple Instance Learning Networks with Multi-Teacher Distillation from Pathology Slide Foundation Models Bracs: A dataset for breast carcinoma subtyping in h&e histology images.Database, page baac093, 2022

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

Pretraining Multiple Instance Learning Networks with Multi-Teacher Distillation from Pathology Slide Foundation Models Emerging properties in self-supervised vision transformers

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This paper cites Chen, Tong Ding, Ming Y.

Pretraining Multiple Instance Learning Networks with Multi-Teacher Distillation from Pathology Slide Foundation Models Chen, Tong Ding, Ming Y

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

Pretraining Multiple Instance Learning Networks with Multi-Teacher Distillation from Pathology Slide Foundation Models A simple framework for contrastive learning of visual representations

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Pretraining Multiple Instance Learning Networks with Multi-Teacher Distillation from Pathology Slide Foundation Models A multimodal whole-slide foundation model for pathology

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Pretraining Multiple Instance Learning Networks with Multi-Teacher Distillation from Pathology Slide Foundation Models An image is worth 16x16 words: Transformers for image recognition at scale

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This paper cites Deformable Attention Graph Representation Learning for Histopathology Whole Slide Image Analysis.

Pretraining Multiple Instance Learning Networks with Multi-Teacher Distillation from Pathology Slide Foundation Models Deformable Attention Graph Representation Learning for Histopathology Whole Slide Image Analysis

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This paper cites Lu, Christian Trautwein, Rupert Langer, Bastian Dislich, Roman D.

Pretraining Multiple Instance Learning Networks with Multi-Teacher Distillation from Pathology Slide Foundation Models Lu, Christian Trautwein, Rupert Langer, Bastian Dislich, Roman D

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This paper cites Boosting pathology foundation models via few-shot prompt-tuning for rare cancer subtyping.Nature Communications, 2026.

Pretraining Multiple Instance Learning Networks with Multi-Teacher Distillation from Pathology Slide Foundation Models Boosting pathology foundation models via few-shot prompt-tuning for rare cancer subtyping.Nature Communications, 2026

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Pretraining Multiple Instance Learning Networks with Multi-Teacher Distillation from Pathology Slide Foundation Models Momentum contrast for unsupervised visual representation learning

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Pretraining Multiple Instance Learning Networks with Multi-Teacher Distillation from Pathology Slide Foundation Models Deep residual learning for im- age recognition

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Pretraining Multiple Instance Learning Networks with Multi-Teacher Distillation from Pathology Slide Foundation Models Distilling the Knowledge in a Neural Network

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Pretraining Multiple Instance Learning Networks with Multi-Teacher Distillation from Pathology Slide Foundation Models Tomczak, and Max Welling

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Pretraining Multiple Instance Learning Networks with Multi-Teacher Distillation from Pathology Slide Foundation Models Song, Richard J

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This paper cites Understanding Dimensional Collapse in Contrastive Self-supervised Learning.

Pretraining Multiple Instance Learning Networks with Multi-Teacher Distillation from Pathology Slide Foundation Models Understanding Dimensional Collapse in Contrastive Self-supervised Learning

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Pretraining Multiple Instance Learning Networks with Multi-Teacher Distillation from Pathology Slide Foundation Models Benchmarking self-supervised learning on diverse pathology datasets

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Pretraining Multiple Instance Learning Networks with Multi-Teacher Distillation from Pathology Slide Foundation Models Kingma and Jimmy Ba

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Pretraining Multiple Instance Learning Networks with Multi-Teacher Distillation from Pathology Slide Foundation Models Berg, Wan-Yen Lo, Piotr Dollar, and Ross Girshick

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Pretraining Multiple Instance Learning Networks with Multi-Teacher Distillation from Pathology Slide Foundation Models Big transfer (bit): General visual representation learning

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Pretraining Multiple Instance Learning Networks with Multi-Teacher Distillation from Pathology Slide Foundation Models Unresolved cited work

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Pretraining Multiple Instance Learning Networks with Multi-Teacher Distillation from Pathology Slide Foundation Models Eliceiri

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Pretraining Multiple Instance Learning Networks with Multi-Teacher Distillation from Pathology Slide Foundation Models Dynamic graph representation with knowledge-aware attention for histopathology whole slide image analysis

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Pretraining Multiple Instance Learning Networks with Multi-Teacher Distillation from Pathology Slide Foundation Models Agent aggregator with mask denoise mechanism for histopathology whole slide image analysis

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Pretraining Multiple Instance Learning Networks with Multi-Teacher Distillation from Pathology Slide Foundation Models Adaptive multi-teacher multi-level knowledge distillation

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Pretraining Multiple Instance Learning Networks with Multi-Teacher Distillation from Pathology Slide Foundation Models Lu, Bowen Chen, Drew F

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Pretraining Multiple Instance Learning Networks with Multi-Teacher Distillation from Pathology Slide Foundation Models A generalizable pathology foundation model using a unified knowledge distillation pretraining framework.Nature Biomedical Engineering, 10(3):545–564, 2026

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