Drew F. K. Williamson | DeepAI

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Featured Co-authors

Orcun Goksel
37 publications
Faisal
33 publications
Jingwen Wang
24 publications
Yung-Sung Chuang
23 publications
Dehan Kong
21 publications
Guillaume Jaume
17 publications
Jana Lipkova
17 publications
Maria Gabrani
15 publications
Richard J. Chen
15 publications
Ming Y. Lu
14 publications
Pushpak Pati
13 publications

∙ 08/29/2023

A General-Purpose Self-Supervised Model for Computational Pathology

Tissue phenotyping is a fundamental computational pathology (CPath) task...

0 Richard J. Chen, et al. ∙

∙ 07/27/2023

Weakly Supervised AI for Efficient Analysis of 3D Pathology Samples

Human tissue and its constituent cells form a microenvironment that is f...

0 Andrew H. Song, et al. ∙

∙ 07/24/2023

Towards a Visual-Language Foundation Model for Computational Pathology

The accelerated adoption of digital pathology and advances in deep learn...

0 Ming Y. Lu, et al. ∙

∙ 06/13/2023

Visual Language Pretrained Multiple Instance Zero-Shot Transfer for Histopathology Images

Contrastive visual language pretraining has emerged as a powerful method...

0 Ming Y. Lu, et al. ∙

∙ 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...

0 Iain Carmichael, et al. ∙

∙ 04/26/2022

Differentiable Zooming for Multiple Instance Learning on Whole-Slide Images

Multiple Instance Learning (MIL) methods have become increasingly popula...

0 Kevin Thandiackal, et al. ∙

∙ 10/01/2021

Algorithm Fairness in AI for Medicine and Healthcare

In the current development and deployment of many artificial intelligenc...

0 Richard J. Chen, et al. ∙

∙ 08/04/2021

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

The rapidly emerging field of deep learning-based computational patholog...

17 Richard J. Chen, et al. ∙

∙ 07/28/2021

Fast and Scalable Image Search For Histology

The expanding adoption of digital pathology has enabled the curation of ...

75 Chengkuan Chen, et al. ∙

∙ 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 ...

16 Richard J. Chen, et al. ∙

∙ 07/25/2021

Deep Learning-based Frozen Section to FFPE Translation

Frozen sectioning (FS) is the preparation method of choice for microscop...

19 Kutsev Bengisu Ozyoruk, et al. ∙

∙ 09/21/2020

Federated Learning for Computational Pathology on Gigapixel Whole Slide Images

Deep Learning-based computational pathology algorithms have demonstrated...

29 Ming Y. Lu, et al. ∙

∙ 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 ...

0 Ming Y. Lu, et al. ∙

∙ 04/20/2020

Data Efficient and Weakly Supervised Computational Pathology on Whole Slide Images

The rapidly emerging field of computational pathology has the potential ...

19 Ming Y. Lu, et al. ∙

∙ 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...

18 Richard J. Chen, et al. ∙

∙ 12/11/2018

A flat persistence diagram for improved visualization of persistent homology

Visualization in the emerging field of topological data analysis has pro...

0 Raoul R. Wadhwa, et al. ∙

∙ 12/11/2018

A flat persistence diagram for improved visualization of topological features in persistent homology

Visualization in the emerging field of topological data analysis has pro...

0 Raoul R. Wadhwa, et al. ∙

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