Dennis Bontempi

According to our database, Dennis Bontempi authored at least 8 papers between 2020 and 2026.

Collaborative distances:

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

2026

MHub.ai: A Simple, Standardized, and Reproducible Platform for AI Models in Medical Imaging.

Leonard Nürnberg, Dennis Bontempi, Suraj Pai, Curtis Lisle, Steven D. Pieper, Ron Kikinis, Sil van de Leemput, Rahul Soni, Gowtham Murugesan, Cosmin Ciausu, Miriam Groeneveld, Felix J. Dorfner, Jue Jiang, Aneesh Rangnekar, Harini Veeraraghavan, Joeran S. Bosma, Keno K. Bressem, Raymond H. Mak, Andrey Fedorov, Hugo J. W. L. Aerts

CoRR, January, 2026

PLUME-OCT: A quality control tool to enhance statistical power in the analysis of biomarkers from 3D biomedical datasets of OCT images.

Alicia Milloz, Grégoire Molas, Yves Paychère, Alexandre Bouillon, Mathieu Charbonnier, Victor Amiot, James Bardet, Flavie Torrecillos, Dennis Bontempi, David Presby, Laurent Gurtler, Sandro De Zanet, Reinier O. Schlingemann, Sven Bergmann, Sofia Ortin Vela, Ciara Bergin, Ilenia Meloni, Mattia Tomasoni

Comput. Biol. Medicine, 2026

2025

Foundation Artificial Intelligence Models for Health Recognition Using Face Photographs (FAHR-Face).

Fridolin Haugg, Grace Lee, John He, Leonard Nürnberg, Dennis Bontempi, Danielle S. Bitterman, Paul J. Catalano, Vasco Prudente, Dmitrii Glubokov, Andrew Warrington, Suraj Pai, Dirk De Ruysscher, Christian V. Guthier, Benjamin H. Kann, Vadim N. Gladyshev, Hugo J. W. L. Aerts, Raymond H. Mak

CoRR, June, 2025

Vision Foundation Models for Computed Tomography.

Suraj Pai, Ibrahim Hadzic, Dennis Bontempi, Keno K. Bressem, Benjamin H. Kann, Andriy Fedorov, Raymond H. Mak, Hugo J. W. L. Aerts

CoRR, January, 2025

2023

Enrichment of the NLST and NSCLC-Radiomics computed tomography collections with AI-derived annotations.

Deepa Krishnaswamy, Dennis Bontempi, Vamsi Thiriveedhi, Davide Punzo, David A. Clunie, Christopher P. Bridge, Hugo J. W. L. Aerts, Ron Kikinis, Andrey Fedorov

CoRR, 2023

2022

Using virtual clinical trials to determine the accuracy of AI-based quantitative imaging biomarkers in oncology trials using standard-of-care CT.

Darrin W. Byrd, Dennis Bontempi, Hao Yang, Hugo J. W. L. Aerts, Binzhang Zhao, Andrey Fedorov, Lawrence H. Schwartz, Tavis Allison, Chaya Moscowitz, Paul E. Kinahan

Proceedings of the Medical Imaging 2022: Image Perception, 2022

2020

CEREBRUM: a fast and fully-volumetric Convolutional Encoder-decodeR for weakly-supervised sEgmentation of BRain strUctures from out-of-the-scanner MRI.

Dennis Bontempi, Sergio Benini, Alberto Signoroni, Michele Svanera, Lars Muckli

Medical Image Anal., 2020

Oropharyngeal Tumour Segmentation Using Ensemble 3D PET-CT Fusion Networks for the HECKTOR Challenge.

Chinmay Rao, Suraj Pai, Ibrahim Hadzic, Ivan Zhovannik, Dennis Bontempi, Andre Dekker, Jonas Teuwen, Alberto Traverso

Proceedings of the Head and Neck Tumor Segmentation - First Challenge, 2020