Martin C. Stumpe

Tempus Labs (United States) — United States

Computer Science · Physical Sciences

34h-index15.6kcitations102works7.42yr avg
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Research Topics

AI in cancer detection(27), Radiomics and Machine Learning in Medical Imaging(18), Cancer Genomics and Diagnostics(14), Astronomy and Astrophysical Research(13), Stellar, planetary, and galactic studies(12)

Publications102 total

A self-supervised framework for laboratory data imputation in electronic health records
Communications Medicine·2025· 1 citedOpen Access
Efficient and Generalizable Prediction of Molecular Alterations in Multiple-Cancer Cohorts Using Hematoxylin and Eosin Whole Slide Images
Modern Pathology·2024· 2 cited
Tremelimumab and durvalumab as neoadjuvant or non-operative management strategy of patients with microsatellite instability-high resectable gastric or gastroesophageal junction adenocarcinoma: the INFINITY study by GONO
Annals of Oncology·2024· 51 cited
P2.11A.27 Generalizability of Radiomics Based Progression Risk Models in Immunotherapy Treated Mnsclc Subjects
Journal of Thoracic Oncology·2024Open Access
Efficient and generalizable prediction of molecular alterations in multiple cancer cohorts using H&E whole slide images
arXiv (Cornell University)·2024Open Access
Use of a deep learning model on H&E slides to predict nucleic acid yield for NGS testing.
Journal of Clinical Oncology·2024· 1 cited
Development and validation of a deep learning-based microsatellite instability predictor from prostate cancer whole-slide images
npj Precision Oncology·2024· 14 citedOpen Access
Evolving From Discrete Molecular Data Integrations to Actionable Molecular Insights Within the Electronic Health Record
JCO Clinical Cancer Informatics·2024· 2 cited
Abstract 2319: Deep learning-enabled dynamic infiltration and response to NK therapies in solid tumor organoids
Cancer Research·2024
Prediction of MET Overexpression in Lung Adenocarcinoma from Hematoxylin and Eosin Images
American Journal Of Pathology·2024· 3 citedOpen Access
Large Language Models with Retrieval-Augmented Generation for Zero-Shot Disease Phenotyping
arXiv (Cornell University)·2023· 12 citedOpen Access
LIFE: A Deep Learning Framework for Laboratory Data Imputation in Electronic Health Records
2023Open Access
163 A multi-modal, pan-cancer atlas of tumor-immune states across primary and metastatic disease using a large, real-world database
Regular and Young Investigator Award Abstracts·2023· 2 citedOpen Access
Development and Validation of a Deep Learning-Based Microsatellite Instability Predictor from Prostate Cancer Whole-Slide Images
arXiv (Cornell University)·2023Open Access
Prediction of MET Overexpression in Non-Small Cell Lung Adenocarcinomas from Hematoxylin and Eosin Images
arXiv (Cornell University)·2023Open Access
Assessing the utility of molecular diagnostic classification for cancers of unknown primary
Cancer Medicine·2023· 3 citedOpen Access
Validation of a Transcriptome-Based Assay for Classifying Cancers of Unknown Primary Origin
Molecular Diagnosis & Therapy·2023· 34 citedOpen Access
Abstract 4692: Comparison of interassay similarity and cellular deconvolution in spatial transcriptomics data using Visum CytAssist
Cancer Research·2023· 3 cited
Abstract 5402: Using computer vision to resolve proliferative dynamics within therapeutic responses in large scale screens of patient derived models
Cancer Research·2023
Abstract A003: Clinico-molecular real world data demonstrates prognostic significance of a three-gene biomarker for colorectal liver oligometastases
Cancer Research·2022
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Frequent Co-authors

Jason Hipp(11), Yun Liu(9), Thomas Barclay(7), Po-Hsuan Cameron Chen(7), Greg S. Corrado(7), Craig H. Mermel(7), Jon M. Jenkins(6), Jeffrey C. Smith(6), Kunal Nagpal(6), Ronald L. Gilliland(5), Forrest R. Girouard(5), Joseph D. Twicken(5), Helmut Grubmüller(5), Christopher J. Burke(4), Jessie L. Christiansen(4), J. Christensen‐Dalsgaard(4), H. Kjeldsen(4), Robert Morris(4), Timo Kohlberger(4), Davis Foote(4)