activity
20192026
most citedDeep Learning-based Computational Pathology Predicts Origins for Cancers of Unknown Primary

645 citations · 1.2k across the 25 of their papers we have counts for

collaborators
Showing 2021Show all

5 papers · 1 filter

cs.CV2021★ 2 cited

Algorithm Fairness in AI for Medicine and Healthcare

Richard J. Chen, Tiffany Y. Chen, Jana Lipkova +5

In the current development and deployment of many artificial intelligence (AI) systems in healthcare, algorithm fairness is a challenging problem in delivering equitable care. Rece…

cs.CV2021★ 1 cited

Pan-Cancer Integrative Histology-Genomic Analysis via Interpretable Multimodal Deep Learning

Richard J. Chen, Ming Y. Lu, Drew F. K. Williamson +8

The rapidly emerging field of deep learning-based computational pathology has demonstrated promise in developing objective prognostic models from histology whole slide images. Howe…

cs.CV2021★ 3 cited

Fast and Scalable Image Search For Histology

Chengkuan Chen, Ming Y. Lu, Drew F. K. Williamson +3

The expanding adoption of digital pathology has enabled the curation of large repositories of histology whole slide images (WSIs), which contain a wealth of information. Similar pa…

eess.IV2021★ 3 cited

Whole Slide Images are 2D Point Clouds: Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks

Richard J. Chen, Ming Y. Lu, Muhammad Shaban +4

Cancer prognostication is a challenging task in computational pathology that requires context-aware representations of histology features to adequately infer patient survival. Desp…

eess.IV2021

Deep Learning-based Frozen Section to FFPE Translation

Kutsev Bengisu Ozyoruk, Sermet Can, Guliz Irem Gokceler +12

Frozen sectioning (FS) is the preparation method of choice for microscopic evaluation of tissues during surgical operations. The high speed of the procedure allows pathologists to…