Andrew P. Norgan

According to our database, Andrew P. Norgan authored at least 6 papers between 2011 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

OpenTME: An Open Dataset of AI-powered H&E Tumor Microenvironment Profiles from TCGA.

Maaike Galama, Nina Kozar-Gillan, Christina Embacher, Todd Dembo, Cornelius Böhm, Evelyn Ramberger, Julika Ribbat-Idel, Rosemarie Krupar, Verena Aumiller, Miriam Hägele, Kai Standvoss, Gerrit Erdmann, Blanca Pablos, Ari Angelo, Simon Schallenberg, Andrew P. Norgan, Viktor Matyas, Klaus-Robert Müller, Maximilian Alber, Lukas Ruff, Frederick Klauschen

CoRR, April, 2026

Atlas 2 - Foundation models for clinical deployment.

Maximilian Alber, Timo Milbich, Alexandra Carpen-Amarie, Stephan Tietz, Jonas Dippel, Lukas Muttenthaler, Beatriz Perez Cancer, Alessandro Benetti, Panos Korfiatis, Elias Eulig, Jérôme Lüscher, Jiasen Wu, Sayed Abid Hashimi, Gabriel Dernbach, Simon Schallenberg, Neelay Shah, Moritz Krügener, Aniruddh Jammoria, Jake Matras, Patrick Duffy, Matt Redlon, Philipp Jurmeister, David Horst, Lukas Ruff, Klaus-Robert Müller, Frederick Klauschen, Andrew P. Norgan

CoRR, January, 2026

2025

Atlas: A Novel Pathology Foundation Model by Mayo Clinic, Charité, and Aignostics.

Maximilian Alber, Stephan Tietz, Jonas Dippel, Timo Milbich, Timothée Lesort, Panos Korfiatis, Moritz Krügener, Beatriz Perez Cancer, Neelay Shah, Alexander Möllers, Philipp Seegerer, Alexandra Carpen-Amarie, Kai Standvoss, Gabriel Dernbach, Edwin D. de Jong, Simon Schallenberg, Andreas Kunft, Helmut Hoffer von Ankershoffen, Gavin Schaeferle, Patrick Duffy, Matt Redlon, Philipp Jurmeister, David Horst, Lukas Ruff, Klaus-Robert Müller, Frederick Klauschen, Andrew P. Norgan

CoRR, January, 2025

2023

Performance of externally validated machine learning models based on histopathology images for the diagnosis, classification, prognosis, or treatment outcome prediction in female breast cancer: A systematic review.

Ricardo Gonzalez, Peyman Nejat, Ashirbani Saha, Clinton J. V. Campbell, Andrew P. Norgan, Cynthia Lokker

CoRR, 2023

Seeing the random forest through the decision trees. Supporting learning health systems from histopathology with machine learning models: Challenges and opportunities.

Ricardo Gonzalez, Ashirbani Saha, Clinton J. V. Campbell, Peyman Nejat, Cynthia Lokker, Andrew P. Norgan

CoRR, 2023

2011

Multilevel Parallelization of AutoDock 4.2.

Andrew P. Norgan, Paul K. Coffman, Jean-Pierre A. Kocher, David J. Katzmann, Carlos P. Sosa

J. Cheminformatics, 2011