Ezequiel Geremia

According to our database, Ezequiel Geremia authored at least 13 papers between 2010 and 2026.

Collaborative distances:

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

2026

Enhancing Early Liver Cancer Diagnosis: AI-Based Detection of Small Malignant Lesions on Contrast-Enhanced CT.

Sébastien Poullot, Ezequiel Geremia, Vladimir Groza, Van-Khoa Le, Benjamin Renoust, Jean-Christophe Brisset, Benoit Huet, Valerie Bourdes, Jun Shen, Olivier Lucidarme

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2025

Rethinking Lung Cancer Screening: AI Nodule Detection and Diagnosis Outperforms Radiologists, Leading Models, and Standards Beyond Size and Growth.

Sylvain Bodard, Pierre Baudot, Benjamin Renoust, Charles Voyton, Gwendoline De Bie, Ezequiel Geremia, Van-Khoa Le, Danny Francis, Pierre-Henri Siot, Yousra Haddou, Vincent Bobin, Jean-Christophe Brisset, Carey C. Thomson, Valerie Bourdes, Benoit Huet

CoRR, December, 2025

2022

3D-Morphomics, Morphological Features on CT Scans for Lung Nodule Malignancy Diagnosis.

Elias Munoz, Pierre Baudot, Van-Khoa Le, Charles Voyton, Benjamin Renoust, Danny Francis, Vladimir Groza, Jean-Christophe Brisset, Ezequiel Geremia, Antoine Iannessi, Yan Liu, Benoit Huet

Proceedings of the Cancer Prevention Through Early Detection, 2022

2016

A Generative Probabilistic Model and Discriminative Extensions for Brain Lesion Segmentation - With Application to Tumor and Stroke.

Bjoern H. Menze, Koen Van Leemput, Danial Lashkari, Tammy Riklin-Raviv, Ezequiel Geremia, Esther Alberts, Philipp Gruber, Susanne Wegener, Marc-André Weber, Gábor Székely, Nicholas Ayache, Polina Golland

IEEE Trans. Medical Imaging, 2016

2015

The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS).

Bjoern H. Menze, András Jakab, Stefan Bauer, Jayashree Kalpathy-Cramer, Keyvan Farahani, Justin S. Kirby, Yuliya Burren, Nicole Porz, Johannes Slotboom, Roland Wiest, Levente Lanczi, Elizabeth R. Gerstner, Marc-André Weber, Tal Arbel, Brian B. Avants, Nicholas Ayache, Patricia Buendia, D. Louis Collins, Nicolas Cordier, Jason J. Corso, Antonio Criminisi, Tilak Das, Herve Delingette, Çagatay Demiralp, Christopher R. Durst, Michel Dojat, Senan Doyle, Joana Festa, Florence Forbes, Ezequiel Geremia, Ben Glocker, Polina Golland, Xiaotao Guo, Andac Hamamci, Khan M. Iftekharuddin, Raj Jena, Nigel M. John, Ender Konukoglu, Danial Lashkari, José Antonio Mariz, Raphael Meier, Sérgio Pereira, Doina Precup, Stephen J. Price, Tammy Riklin Raviv, Syed M. S. Reza, Michael T. Ryan, Duygu Sarikaya, Lawrence H. Schwartz, Hoo-Chang Shin, Jamie Shotton, Carlos A. Silva, Nuno J. Sousa, Nagesh K. Subbanna, Gábor Székely, Thomas J. Taylor, Owen M. Thomas, Nicholas J. Tustison, Gözde B. Ünal, Flor Vasseur, Max Wintermark, Dong Hye Ye, Liang Zhao, Binsheng Zhao, Darko Zikic, Marcel Prastawa, Mauricio Reyes, Koen Van Leemput

IEEE Trans. Medical Imaging, 2015

2013

Tumor growth parameters estimation and source localization from a unique time point: Application to low-grade gliomas.

Islem Rekik, Stéphanie Allassonnière, Olivier Clatz, Ezequiel Geremia, Erin Stretton, Hervé Delingette, Nicholas Ayache

Comput. Vis. Image Underst., 2013

Importance of patient DTI's to accurately model glioma growth using the reaction diffusion equation.

Erin Stretton, Ezequiel Geremia, Bjoern H. Menze, Hervé Delingette, Nicholas Ayache

Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Spatially Adaptive Random Forests.

Ezequiel Geremia, Bjoern H. Menze, Nicholas Ayache

Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

2012

Predicting the Location of Glioma Recurrence after a Resection Surgery.

Erin Stretton, Emmanuel Mandonnet, Ezequiel Geremia, Bjoern H. Menze, Hervé Delingette, Nicholas Ayache

Proceedings of the Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data, 2012

Brain Tumor Cell Density Estimation from Multi-modal MR Images Based on a Synthetic Tumor Growth Model.

Ezequiel Geremia, Bjoern H. Menze, Marcel Prastawa, Marc-André Weber, Antonio Criminisi, Nicholas Ayache

Proceedings of the Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging, 2012

2011

Spatial decision forests for MS lesion segmentation in multi-channel magnetic resonance images.

Ezequiel Geremia, Olivier Clatz, Bjoern H. Menze, Ender Konukoglu, Antonio Criminisi, Nicholas Ayache

NeuroImage, 2011

Layered Spatio-temporal Forests for Left Ventricle Segmentation from 4D Cardiac MRI Data.

Ján Margeta, Ezequiel Geremia, Antonio Criminisi, Nicholas Ayache

Proceedings of the Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges, 2011

2010

Spatial Decision Forests for MS Lesion Segmentation in Multi-Channel MR Images.

Ezequiel Geremia, Bjoern H. Menze, Olivier Clatz, Ender Konukoglu, Antonio Criminisi, Nicholas Ayache

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010