Jana Lipkova

Jana Lipkova

Harvard University

H-index: 22

North America-United States

About Jana Lipkova

Jana Lipkova, With an exceptional h-index of 22 and a recent h-index of 20 (since 2020), a distinguished researcher at Harvard University, specializes in the field of Computational Pathology, Deep Learning, Medical Image Analysis, Tumor Modeling, Bayesian inference.

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

The liver tumor segmentation benchmark (lits)

Abstract A007: Racial disparities bias oncology AI models

Learn-Morph-Infer: a new way of solving the inverse problem for brain tumor modeling

Abstract PR005: Deep learning-based multimodal integration of histology and genomics improves cancer origin prediction

Algorithmic fairness in artificial intelligence for medicine and healthcare

Deep learning-enabled assessment of cardiac allograft rejection from endomyocardial biopsies

Pan-cancer integrative histology-genomic analysis via multimodal deep learning

Federated learning for computational pathology on gigapixel whole slide images

Jana Lipkova Information

University

Position

Harvard Medical School, Brigham and Women's Hospital

Citations(all)

4582

Citations(since 2020)

4407

Cited By

1124

hIndex(all)

22

hIndex(since 2020)

20

i10Index(all)

26

i10Index(since 2020)

26

Email

University Profile Page

Harvard University

Google Scholar

View Google Scholar Profile

Jana Lipkova Skills & Research Interests

Computational Pathology

Deep Learning

Medical Image Analysis

Tumor Modeling

Bayesian inference

Top articles of Jana Lipkova

Title

Journal

Author(s)

Publication Date

The liver tumor segmentation benchmark (lits)

Medical Image Analysis

Patrick Bilic

Patrick Christ

Hongwei Bran Li

Eugene Vorontsov

Avi Ben-Cohen

...

2023/2/1

Abstract A007: Racial disparities bias oncology AI models

Richard J Chen

Drew FK Williamson

Ming Y Lu

Tiffany Y Chen

Jana Lipkova

...

2023/1/1

Learn-Morph-Infer: a new way of solving the inverse problem for brain tumor modeling

Medical Image Analysis

Ivan Ezhov

Kevin Scibilia

Katharina Franitza

Felix Steinbauer

Suprosanna Shit

...

2023/1/1

Abstract PR005: Deep learning-based multimodal integration of histology and genomics improves cancer origin prediction

Cancer Research

Muhammad Shaban

Ming Y Lu

Drew FK Williamson

Richard J Chen

Jana Lipkova

...

2023/1/15

Algorithmic fairness in artificial intelligence for medicine and healthcare

Richard J Chen

Judy J Wang

Drew FK Williamson

Tiffany Y Chen

Jana Lipkova

...

2023/6

Deep learning-enabled assessment of cardiac allograft rejection from endomyocardial biopsies

Nature medicine

Jana Lipkova

Tiffany Y Chen

Ming Y Lu

Richard J Chen

Maha Shady

...

2022/3

Pan-cancer integrative histology-genomic analysis via multimodal deep learning

Cancer Cell

Richard J Chen

Ming Y Lu

Drew FK Williamson

Tiffany Y Chen

Jana Lipkova

...

2022/8/8

Federated learning for computational pathology on gigapixel whole slide images

Medical image analysis

Ming Y Lu

Richard J Chen

Dehan Kong

Jana Lipkova

Rajendra Singh

...

2022/2/1

DEEP LEARNING-BASED INTEGRATION OF HISTOLOGY AND RADIOLOGY FOR IMPROVED SURVIVAL OUTCOME PREDICTION IN GLIOMA PATIENTS

Journal of Pathology Informatics

Luoting Zhuang

Jana Lipkova

Richard Chen

Faisal Mahmood

2022/1/1

AI-BASED PATHOLOGY PREDICTS ORIGINS FOR CANCERS OF UNKNOWN PRIMARY

Journal of Pathology Informatics

Ming Y Lu

Tiffany Y Chen

Drew FK Williamson

Melissa Zhao

Maha Shady

...

2022/1/1

Deep learning-based integration of histology, radiology, and genomics for improved survival prediction in glioma patients

Luoting Zhuang

Jana Lipkova

Richard Chen

Faisal Mahmood

2022/4/4

Artificial intelligence for multimodal data integration in oncology

Jana Lipkova

Richard J Chen

Bowen Chen

Ming Y Lu

Matteo Barbieri

...

2022/10/10

Modelling glioma progression, mass effect and intracranial pressure in patient anatomy

Journal of the Royal Society Interface

Jana Lipková

Bjoern Menze

Benedikt Wiestler

Petros Koumoutsakos

John S Lowengrub

2022/3/23

REDUCING INTER-OBSERVER VARIABILITY IN ENDOMYOCARDIAL BIOPSY ASSESSMENT

Journal of Pathology Informatics

Jana Lipkova

Tiffany Y Chen

Ming Y Lu

Richard J Chen

Maha Shady

...

2022/1/1

Abstract PO-007: Deep learning-based computational pathology predicts origins for cancers of unknown primary

Clinical Cancer Research

Ming Yang Lu

Tiffany Y Chen

Drew DW Williamson

Melissa Zhao

Maha Shady

...

2021/3/1

Algorithm fairness in ai for medicine and healthcare

arXiv preprint arXiv:2110.00603

Richard J Chen

Tiffany Y Chen

Jana Lipkova

Judy J Wang

Drew FK Williamson

...

2021/10/1

Abstract PO-008: Federated learning on whole slide images using weakly supervised computational pathology

Clinical Cancer Research

Ming Yang Lu

Dehan Kong

Jana Lipkova

Richard J Chen

Rajendra Singh

...

2021/3/1

International Evaluation of Weakly-Supervised Ai-Model for Cardiac Allograft Rejection Screening

Journal of the American College of Cardiology

Jana Lipkova

Tiffany Y Chen

Ming Y Lu

Maha Shady

Mane Williams

...

2021/5/11

Abstract PR-01: real-time, point-of-care pathology diagnosis via embedded deep learning

Clinical Cancer Research

Bowen Chen

Max Lu

Jana Lipkova

Faisal Mahmood

2021/3/1

Semi-Implicit Neural Solver for Time-dependent Partial Differential Equations

arXiv preprint arXiv:2109.01467

Suprosanna Shit

Ivan Ezhov

Leon Mächler

Jana Lipkova

Johannes C Paetzold

...

2021/9/3

See List of Professors in Jana Lipkova University(Harvard University)

Co-Authors

H-index: 86
Petros Koumoutsakos

Petros Koumoutsakos

Harvard University

H-index: 72
john lowengrub

john lowengrub

University of California, Irvine

H-index: 63
Bjoern H Menze

Bjoern H Menze

Universität Zürich

H-index: 55
Jon Chapman

Jon Chapman

University of Oxford

H-index: 45
Koen Van Leemput

Koen Van Leemput

Harvard University

H-index: 36
Radek Erban

Radek Erban

University of Oxford

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