research
∙
07/24/2023
Towards a Visual-Language Foundation Model for Computational Pathology
The accelerated adoption of digital pathology and advances in deep learn...
share
research
∙
02/23/2023
Quantifying Modeling Feature Interactions: An Information Decomposition Framework
The recent explosion of interest in multimodal applications has resulted...
research
∙
10/01/2021
Algorithm Fairness in AI for Medicine and Healthcare
In the current development and deployment of many artificial intelligenc...
research
∙
08/04/2021
Pan-Cancer Integrative Histology-Genomic Analysis via Interpretable Multimodal Deep Learning
The rapidly emerging field of deep learning-based computational patholog...
research
∙
07/28/2021
Fast and Scalable Image Search For Histology
The expanding adoption of digital pathology has enabled the curation of ...
research
∙
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 ...
research
∙
06/24/2020
Deep Learning-based Computational Pathology Predicts Origins for Cancers of Unknown Primary
Cancers of unknown primary (CUP), represent 1-3 enigmatic disease where ...
research
∙
04/20/2020
Data Efficient and Weakly Supervised Computational Pathology on Whole Slide Images
The rapidly emerging field of computational pathology has the potential ...
research
∙
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...
research
∙
08/22/2018
