M. Stumpe

发表

Predicting Prostate Cancer-Specific Mortality with A.I.-based Gleason Grading pdf

Andreas Holzinger, Gregory S. Corrado, Ellery Wulczyn, 2020, Communications Medicine.

Development and Validation of a Deep Learning Algorithm for Gleason Grading of Prostate Cancer From Biopsy Specimens

Po-Hsuan Cameron Chen, David F. Steiner, Davis Foote, 2020, JAMA oncology.

Evaluation of the Use of Combined Artificial Intelligence and Pathologist Assessment to Review and Grade Prostate Biopsies

Carrie J. Cai, Po-Hsuan Cameron Chen, David F. Steiner, 2020, JAMA network open.

Privacy preserving validation for multiomic prediction models

Mark A Carty, Aly A. Khan, Raphael Pelossof, 2022, Briefings Bioinform..

Validation of a Transcriptome-Based Assay for Classifying Cancers of Unknown Primary Origin

J. Dudley, J. Guinney, M. Stumpe, 2022, Molecular Diagnosis & Therapy.

Large Scale Business Discovery from Street Level Imagery

Vinay D. Shet, Christian Szegedy, Julian Ibarz, 2015, 1512.05430.

Artificial intelligence-augmented histopathologic review using image analysis to optimize DNA yield from formalin-fixed paraffin-embedded slides

M. Stumpe, Bolesław L Osinski, Irvin Ho, 2022, Modern Pathology.

H&E image-based consensus molecular subtype classification of colorectal cancer using weak labeling.

Aly A. Khan, M. Stumpe, Lingdao Sha, 2020 .

Privacy Preserving RNA-Model Validation Across Laboratories

Mark A Carty, Aly A. Khan, M. Stumpe, 2021, bioRxiv.

A pan-cancer organoid platform for precision medicine.

Brian M. Larsen, Aly A. Khan, K. White, 2021, Cell reports.

Imaging-based histological features are predictive of MET alterations in Non-Small Cell Lung Cancer

M. Stumpe, Lingdao Sha, N. Beig, 2022, ArXiv.

Real-world Evidence of Diagnostic Testing and Treatment Patterns in US Patients With Breast Cancer With Implications for Treatment Biomarkers From RNA Sequencing Data.

M. Stumpe, R. Pe Benito, N. Beaubier, 2020, Clinical breast cancer.

Predicting prostate cancer specific-mortality with artificial intelligence-based Gleason grading pdf

Andreas Holzinger, Peter Regitnig, Ellery Wulczyn, 2020, Communications Medicine.

Interpretable survival prediction for colorectal cancer using deep learning pdf

Ellery Wulczyn, Daniel Tse, Martin C. Stumpe, 2020, npj Digital Medicine.

Real-world Evidence of Diagnostic Testing and Treatment Patterns in U.S. Breast Cancer Patients with Implications for Treatment Biomarkers from RNA-sequencing Data

M. Stumpe, R. Pe Benito, N. Beaubier, 2020, medRxiv.

Artificial intelligence-augmented histopathologic review using image analysis to optimize DNA yield from formalin-fixed paraffin-embedded slides

M. Stumpe, Irvin Ho, Caleb Willis, 2022, Modern Pathology.

Deep Orthogonal Fusion: Multimodal Prognostic Biomarker Discovery Integrating Radiology, Pathology, Genomic, and Clinical Data pdf

Martin C. Stumpe, Nathaniel Braman, Emery T. Goossens, 2021, MICCAI.

Prediction of mortality from 12-lead electrocardiogram voltage data using a deep neural network

Kipp W. Johnson, Joshua V. Stough, Joseph B. Leader, 2020, Nature Medicine.

Learning relevant H&E slide morphologies for prediction of colorectal cancer tumor mutation burden using weakly supervised deep learning.

Aly A. Khan, M. Stumpe, Lingdao Sha, 2020 .

Use of clinical RNA-sequencing in the detection of actionable fusions compared to DNA-sequencing alone.

J. Guinney, K. Blackwell, M. Stumpe, 2022, Journal of Clinical Oncology.

Prediction of mortality from 12-lead electrocardiogram voltage data using a deep neural network

Kipp W. Johnson, Joshua V. Stough, Brandon K. Fornwalt, 2019, Nature Medicine.