Krzysztof J. Geras

Krzysztof J. Geras

New York University

H-index: 25

North America-United States

About Krzysztof J. Geras

Krzysztof J. Geras, With an exceptional h-index of 25 and a recent h-index of 24 (since 2020), a distinguished researcher at New York University, specializes in the field of Machine Learning, Deep Learning, Artificial Intelligence, Medical Imaging.

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

Enhancing the reliability and accuracy of AI-enabled diagnosis via complementarity-driven deferral to clinicians

Exploring synthesizing 2D mammograms from 3D digital breast tomosynthesis images

Detecting incidental correlation in multimodal learning via latent variable modeling

Leveraging Transformers to Improve Breast Cancer Classification and Risk Assessment with Multi-modal and Longitudinal Data

A competition, benchmark, code, and data for using artificial intelligence to detect lesions in digital breast tomosynthesis

Leveraging Neural Networks to Profile Health Care Providers with Application to Medicare Claims

Multiple instance learning via iterative self-paced supervised contrastive learning

An efficient deep neural network to classify large 3D images with small objects

Krzysztof J. Geras Information

University

Position

___

Citations(all)

4275

Citations(since 2020)

4037

Cited By

1108

hIndex(all)

25

hIndex(since 2020)

24

i10Index(all)

37

i10Index(since 2020)

35

Email

University Profile Page

New York University

Google Scholar

View Google Scholar Profile

Krzysztof J. Geras Skills & Research Interests

Machine Learning

Deep Learning

Artificial Intelligence

Medical Imaging

Top articles of Krzysztof J. Geras

Title

Journal

Author(s)

Publication Date

Enhancing the reliability and accuracy of AI-enabled diagnosis via complementarity-driven deferral to clinicians

Nature Medicine

Krishnamurthy Dvijotham

Jim Winkens

Melih Barsbey

Sumedh Ghaisas

Robert Stanforth

...

2023/7

Exploring synthesizing 2D mammograms from 3D digital breast tomosynthesis images

Jakub Chłędowski

Jungkyu Park

Krzysztof J Geras

2023/11/28

Detecting incidental correlation in multimodal learning via latent variable modeling

Transactions on Machine Learning Research

Taro Makino

Yixin Wang

Krzysztof J Geras

Kyunghyun Cho

2023/8

Leveraging Transformers to Improve Breast Cancer Classification and Risk Assessment with Multi-modal and Longitudinal Data

arXiv preprint arXiv:2311.03217

Yiqiu Shen

Jungkyu Park

Frank Yeung

Eliana Goldberg

Laura Heacock

...

2023/11/6

A competition, benchmark, code, and data for using artificial intelligence to detect lesions in digital breast tomosynthesis

JAMA Network Open

Nicholas Konz

Mateusz Buda

Hanxue Gu

Ashirbani Saha

Jichen Yang

...

2023/2/1

Leveraging Neural Networks to Profile Health Care Providers with Application to Medicare Claims

arXiv preprint arXiv:2309.15316

Wenbo Wu

Fan Li

Richard Liu

Yiting Li

Mara McAdams-DeMarco

...

2023/9/26

Multiple instance learning via iterative self-paced supervised contrastive learning

Kangning Liu

Weicheng Zhu

Yiqiu Shen

Sheng Liu

Narges Razavian

...

2023

An efficient deep neural network to classify large 3D images with small objects

IEEE Transactions on Medical Imaging

Jungkyu Park

Jakub Chłędowski

Stanisław Jastrzębski

Jan Witowski

Yanqi Xu

...

2023/8/17

Improving Information Extraction from Pathology Reports using Named Entity Recognition

Research Square

Ken G Zeng

Tarun Dutt

Jan Witowski

GV Kranthi Kiran

Frank Yeung

...

2023/7/3

Mitigating input-causing confounding in multimodal learning via the backdoor adjustment

Taro Makino

Krzysztof J Geras

Kyunghyun Cho

2022/10/21

An efficient deep neural network to find small objects in large 3D images

arXiv preprint arXiv:2210.08645

Jungkyu Park

Jakub Chłędowski

Stanisław Jastrzębski

Jan Witowski

Yanqi Xu

...

2022/10/16

Characterizing and overcoming the greedy nature of learning in multi-modal deep neural networks

Nan Wu

Stanislaw Jastrzebski

Kyunghyun Cho

Krzysztof J Geras

2022/6/28

Estimation of the capillary level input function for dynamic contrast‐enhanced MRI of the breast using a deep learning approach

Magnetic resonance in medicine

Jonghyun Bae

Zhengnan Huang

Florian Knoll

Krzysztof Geras

Terlika Pandit Sood

...

2022/5

MedFuse: Multi-modal fusion with clinical time-series data and chest X-ray images

Nasir Hayat

Krzysztof J Geras

Farah E Shamout

2022/12/31

Differences between human and machine perception in medical diagnosis

Scientific reports

Taro Makino

Stanisław Jastrzębski

Witold Oleszkiewicz

Celin Chacko

Robin Ehrenpreis

...

2022/4/27

Generative multitask learning mitigates target-causing confounding

Taro Makino

Krzysztof Geras

Kyunghyun Cho

2022/2/8

Lessons from the first DBTex Challenge

Nature Machine Intelligence

Jungkyu Park

Yoel Shoshan

Robert Martí

Pablo Gómez del Campo

Vadim Ratner

...

2021/8

COVID-19 deterioration prediction via self-supervised representation learning and multi-image prediction

arXiv preprint arXiv:2101.04909

Anuroop Sriram

Matthew Muckley

Koustuv Sinha

Farah Shamout

Joelle Pineau

...

2021/1/13

Reducing false-positive biopsies using deep neural networks that utilize both local and global image context of screening mammograms

Journal of Digital Imaging

Nan Wu

Zhe Huang

Yiqiu Shen

Jungkyu Park

Jason Phang

...

2021/12

Weakly-supervised high-resolution segmentation of mammography images for breast cancer diagnosis

Proceedings of machine learning research

Kangning Liu

Yiqiu Shen

Nan Wu

Jakub Chłędowski

Carlos Fernandez-Granda

...

2021/7

See List of Professors in Krzysztof J. Geras University(New York University)

Co-Authors

H-index: 98
Kyunghyun Cho

Kyunghyun Cho

New York University

H-index: 34
Florian Knoll

Florian Knoll

New York University

H-index: 23
Jason Phang

Jason Phang

New York University

H-index: 22
Laura Heacock, MD, MS, FSBI

Laura Heacock, MD, MS, FSBI

New York University

H-index: 22
Samira Ebrahimi Kahou

Samira Ebrahimi Kahou

École de Technologie Supérieure

H-index: 17
Shengjie Wang

Shengjie Wang

University of Washington

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