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08/29/2023
A General-Purpose Self-Supervised Model for Computational Pathology
Tissue phenotyping is a fundamental computational pathology (CPath) task...
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07/24/2023
Towards a Visual-Language Foundation Model for Computational Pathology
The accelerated adoption of digital pathology and advances in deep learn...
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06/13/2023
Visual Language Pretrained Multiple Instance Zero-Shot Transfer for Histopathology Images
Contrastive visual language pretraining has emerged as a powerful method...
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06/17/2022
Incorporating intratumoral heterogeneity into weakly-supervised deep learning models via variance pooling
Supervised learning tasks such as cancer survival prediction from gigapi...
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06/06/2022
Scaling Vision Transformers to Gigapixel Images via Hierarchical Self-Supervised Learning
Vision Transformers (ViTs) and their multi-scale and hierarchical variat...
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03/01/2022
Self-Supervised Vision Transformers Learn Visual Concepts in Histopathology
Tissue phenotyping is a fundamental task in learning objective character...
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10/01/2021
Algorithm Fairness in AI for Medicine and Healthcare
In the current development and deployment of many artificial intelligenc...
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08/04/2021
Pan-Cancer Integrative Histology-Genomic Analysis via Interpretable Multimodal Deep Learning
The rapidly emerging field of deep learning-based computational patholog...
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07/27/2021
Whole Slide Images are 2D Point Clouds: Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks
Cancer prognostication is a challenging task in computational pathology ...
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09/21/2020
Federated Learning for Computational Pathology on Gigapixel Whole Slide Images
Deep Learning-based computational pathology algorithms have demonstrated...
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04/20/2020
Data Efficient and Weakly Supervised Computational Pathology on Whole Slide Images
The rapidly emerging field of computational pathology has the potential ...
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12/18/2019
Pathomic Fusion: An Integrated Framework for Fusing Histopathology and Genomic Features for Cancer Diagnosis and Prognosis
Cancer diagnosis, prognosis and therapeutic response predictions are bas...
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10/29/2019
Weakly Supervised Prostate TMA Classification via Graph Convolutional Networks
Histology-based grade classification is clinically important for many ca...
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10/23/2019
Semi-Supervised Histology Classification using Deep Multiple Instance Learning and Contrastive Predictive Coding
Convolutional neural networks can be trained to perform histology slide ...
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06/29/2019