Joseph Paul Cohen

Joseph Paul Cohen

Stanford University

H-index: 30

North America-United States

About Joseph Paul Cohen

Joseph Paul Cohen, With an exceptional h-index of 30 and a recent h-index of 28 (since 2020), a distinguished researcher at Stanford University, specializes in the field of Medical Imaging, Explainable AI, Genomics, Computer Vision, Representation Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

CheXagent: Towards a Foundation Model for Chest X-Ray Interpretation

Identifying Spurious Correlations using Counterfactual Alignment

Opportunistic detection of type 2 diabetes using deep learning from frontal chest radiographs

The Effect of Counterfactuals on Reading Chest X-rays

The promise of machine learning applications in solid organ transplantation

TorchXRayVision: A library of chest X-ray datasets and models

Effect of an Artificial Intelligence Chest X-Ray Disease Prediction System on the Radiological Education of Medical Students: A Pilot Study

CheXstray: Real-time Multi-Modal Data Concordance for Drift Detection in Medical Imaging AI

Joseph Paul Cohen Information

University

Position

Postdoctoral Fellow AIMI () + Mila (Quebec AI Institute)

Citations(all)

5483

Citations(since 2020)

5245

Cited By

1547

hIndex(all)

30

hIndex(since 2020)

28

i10Index(all)

44

i10Index(since 2020)

41

Email

University Profile Page

Stanford University

Google Scholar

View Google Scholar Profile

Joseph Paul Cohen Skills & Research Interests

Medical Imaging

Explainable AI

Genomics

Computer Vision

Representation Learning

Top articles of Joseph Paul Cohen

Title

Journal

Author(s)

Publication Date

CheXagent: Towards a Foundation Model for Chest X-Ray Interpretation

arXiv preprint arXiv:2401.12208

Zhihong Chen

Maya Varma

Jean-Benoit Delbrouck

Magdalini Paschali

Louis Blankemeier

...

2024/1/22

Identifying Spurious Correlations using Counterfactual Alignment

arXiv preprint arXiv:2312.02186

Joseph Paul Cohen

Louis Blankemeier

Akshay Chaudhari

2023/12/1

Opportunistic detection of type 2 diabetes using deep learning from frontal chest radiographs

Nature communications

Ayis Pyrros

Stephen M Borstelmann

Ramana Mantravadi

Zachary Zaiman

Kaesha Thomas

...

2023/7/7

The Effect of Counterfactuals on Reading Chest X-rays

arXiv preprint arXiv:2304.00487

Joseph Paul Cohen

Rupert Brooks

Sovann En

Evan Zucker

Anuj Pareek

...

2023/4/2

The promise of machine learning applications in solid organ transplantation

Neta Gotlieb

Amirhossein Azhie

Divya Sharma

Ashley Spann

Nan-Ji Suo

...

2022/7/11

TorchXRayVision: A library of chest X-ray datasets and models

Joseph Paul Cohen

Joseph D Viviano

Paul Bertin

Paul Morrison

Parsa Torabian

...

2022/12/4

Effect of an Artificial Intelligence Chest X-Ray Disease Prediction System on the Radiological Education of Medical Students: A Pilot Study

medRxiv

Lan Dao

Sabrina Sofia Harmouch

Anne Chin

Tien Dao

Zhe Thian

...

2022/7/13

CheXstray: Real-time Multi-Modal Data Concordance for Drift Detection in Medical Imaging AI

arXiv preprint arXiv:2202.02833

Arjun Soin

Jameson Merkow

Jin Long

Joseph Paul Cohen

Smitha Saligrama

...

2022/2/6

Cortical intensity profiles sampled across BigBrain isocortex (v1.0)

Konrad Wagstyl

Hannah Spitzer

Karl Zilles

Joseph Paul Cohen

Yoshua Bengio

...

2022

Medical Image Segmentation Review: The Success of U-Net

arXiv preprint arXiv:2211.14830

Reza Azad

Ehsan Khodapanah Aghdam

Amelie Rauland

Yiwei Jia

Atlas Haddadi Avval

...

2022/11/27

Monoallelic Heb/Tcf12 deletion reduces the requirement for NOTCH1 hyperactivation in T-cell acute lymphoblastic leukemia

Frontiers in Immunology

Diogo FT Veiga

Mathieu Tremblay

Bastien Gerby

Sabine Herblot

André Haman

...

2022/3/24

The effect of an artificial intelligence algorithm on chest X-ray interpretation of radiology residents

The British Journal of Radiology

Joseph Paul Cohen and Süleyman Sevinç Yeliz Pekçevik

Dilek Orbatu

Fatih Güngör

Oktay Yıldırım

Eminullah Yaşar

...

2022/10/5

Problems in the deployment of machine-learned models in health care

Cmaj

Joseph Paul Cohen

Tianshi Cao

Joseph D Viviano

Chin-Wei Huang

Michael Fralick

...

2021/9/7

Benefits of Linear Conditioning for Segmentation using Metadata

Andreanne Lemay

Charley Gros

Olivier Vincent

Yaou Liu

Joseph Paul Cohen

...

2021/8/25

Multi-Domain Balanced Sampling Improves Out-of-Distribution Generalization of Chest X-ray Pathology Prediction Models

arXiv preprint arXiv:2112.13734

Enoch Tetteh

Joseph Viviano

Yoshua Bengio

David Krueger

Joseph Paul Cohen

2021/12/27

Implementing machine learning in medicine

Cmaj

Amol A Verma

Joshua Murray

Russell Greiner

Joseph Paul Cohen

Kaveh G Shojania

...

2021/8/30

Mise en œuvre de l’apprentissage machine en santé

CMAJ

Amol A Verma

Joshua Murray

Russell Greiner

Joseph Paul Cohen

Kaveh G Shojania

...

2021/11/8

Gifsplanation via Latent Shift: A Simple Autoencoder Approach to Counterfactual Generation for Chest X-rays

Joseph Paul Cohen

Rupert Brooks

Sovann En

Evan Zucker

Anuj Pareek

...

2021/8/25

Problèmes associés au déploiement des modèles fondés sur l’apprentissage machine en santé

CMAJ: Canadian Medical Association Journal

Joseph Paul Cohen

Tianshi Cao

Joseph D Viviano

Chin-Wei Huang

Michael Fralick

...

2021/11/8

Exploring the Wasserstein metric for time-to-event analysis

Tristan Sylvain

Margaux Luck

Joseph Cohen

Heloise Cardinal

Andrea Lodi

...

2021/5/11

See List of Professors in Joseph Paul Cohen University(Stanford University)

Co-Authors

H-index: 227
Yoshua Bengio

Yoshua Bengio

Université de Montréal

H-index: 69
Russ Greiner

Russ Greiner

University of Alberta

H-index: 61
Julien Cohen-Adad, PhD

Julien Cohen-Adad, PhD

École Polytechnique de Montréal

H-index: 47
Dr. Marzyeh Ghassemi

Dr. Marzyeh Ghassemi

University of Toronto

H-index: 39
Wei Ding, Fellow of IEEE, AAIA

Wei Ding, Fellow of IEEE, AAIA

University of Massachusetts Boston

H-index: 27
Geneviève Boucher

Geneviève Boucher

Université de Montréal

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