Enzo Battistella

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 22

Top Topics

Tumor Segmentation

Top Venues

BrainLes@MICCAI (2)

IEEE ACM Trans. Comput. Biol. Bioinform.

ICAART (Revised Selected Papers)

Publications

Enzo Battistella, Sean English, Robert Green, Cliff A. Joslyn, Evgeniya Lagoda, Van Magnan, Audun Myers, Evan D. Nash, Michael Robinson
Understanding High-Order Network Structure using Permissible Walks on Attributed Hypergraphs. CoRR (2024)
Enzo Battistella, Maria Vakalopoulou, Nikos Paragios, Eric Deutsch
GHOST: Graph-based higher-order similarity transformation for classification. Pattern Recognit. 155 (2024)
Enzo Battistella, Maria Vakalopoulou, Roger Sun, Théo Estienne, Marvin Lerousseau, Sergey Nikolaev, Emilie Alvarez Andres, Alexandre Carré, Stéphane Niyoteka, Charlotte Robert, Nikos Paragios, Eric Deutsch
COMBING: Clustering in Oncology for Mathematical and Biological Identification of Novel Gene Signatures. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (6) (2022)
Enzo Battistella, Maria Vakalopoulou, Roger Sun, Théo Estienne, Marvin Lerousseau, Sergey Nikolaev, Emilie Alvarez Andres, Alexandre Carré, Stéphane Niyoteka, Charlotte Robert, Nikos Paragios, Eric Deutsch
Cancer Gene Profiling through Unsupervised Discovery. CoRR (2021)
Théo Estienne, Maria Vakalopoulou, Stergios Christodoulidis, Enzo Battistella, Théophraste Henry, Marvin Lerousseau, Amaury Leroy, Guillaume Chassagnon, Marie-Pierre Revel, Nikos Paragios, Eric Deutsch
Exploring Deep Registration Latent Spaces. CoRR (2021)
Marvin Lerousseau, Marion Classe, Enzo Battistella, Théo Estienne, Théophraste Henry, Amaury Leroy, Roger Sun, Maria Vakalopoulou, Jean-Yves Scoazec, Eric Deutsch, Nikos Paragios
Weakly supervised pan-cancer segmentation tool. CoRR (2021)
Théo Estienne, Maria Vakalopoulou, Stergios Christodoulidis, Enzo Battistella, Théophraste Henry, Marvin Lerousseau, Amaury Leroy, Guillaume Chassagnon, Marie-Pierre Revel, Nikos Paragios, Eric Deutsch
Exploring Deep Registration Latent Spaces. DART/FAIR@MICCAI (2021)
Théo Estienne, Maria Vakalopoulou, Enzo Battistella, Théophraste Henry, Marvin Lerousseau, Amaury Leroy, Nikos Paragios, Eric Deutsch
MICS : Multi-steps, Inverse Consistency and Symmetric deep learning registration network. CoRR (2021)
Guillaume Chassagnon, Maria Vakalopoulou, Enzo Battistella, Stergios Christodoulidis, Trieu-Nghi Hoang-Thi, Severine Dangeard, Eric Deutsch, Fabrice André, Enora Guillo, Nara Halm, Stefany El Hajj, Florian Bompard, Sophie Neveu, Chahinez Hani, Ines Saab, Alienor Campredon, Hasmik Koulakian, Souhail Bennani, Nikos Paragios
AI-driven quantification, staging and outcome prediction of COVID-19 pneumonia. Medical Image Anal. 67 (2021)
Marvin Lerousseau, Marion Classe, Enzo Battistella, Théo Estienne, Théophraste Henry, Amaury Leroy, Roger Sun, Maria Vakalopoulou, Jean-Yves Scoazec, Eric Deutsch, Nikos Paragios
Weakly Supervised Pan-Cancer Segmentation Tool. MICCAI (8) (2021)
Théo Estienne, Maria Vakalopoulou, Enzo Battistella, Alexandre Carré, Théophraste Henry, Marvin Lerousseau, Charlotte Robert, Nikos Paragios, Eric Deutsch
Deep learning based registration using spatial gradients and noisy segmentation labels. CoRR (2020)
Marvin Lerousseau, Maria Vakalopoulou, Marion Classe, Julien Adam, Enzo Battistella, Alexandre Carré, Théo Estienne, Théophraste Henry, Eric Deutsch, Nikos Paragios
Weakly Supervised Multiple Instance Learning Histopathological Tumor Segmentation. MICCAI (5) (2020)
Théo Estienne, Marvin Lerousseau, Maria Vakalopoulou, Emilie Alvarez Andres, Enzo Battistella, Alexandre Carré, Siddhartha Chandra, Stergios Christodoulidis, Mihir Sahasrabudhe, Roger Sun, Charlotte Robert, Hugues Talbot, Nikos Paragios, Eric Deutsch
Deep Learning-Based Concurrent Brain Registration and Tumor Segmentation. Frontiers Comput. Neurosci. 14 (2020)
Guillaume Chassagnon, Maria Vakalopoulou, Enzo Battistella, Stergios Christodoulidis, Trieu-Nghi Hoang-Thi, Severine Dangeard, Eric Deutsch, Fabrice André, Enora Guillo, Nara Halm, Stefany El Hajj, Florian Bompard, Sophie Neveu, Chahinez Hani, Ines Saab, Alienor Campredon, Hasmik Koulakian, Souhail Bennani, Gael Freche, Aurelien Lombard, Laure Fournier, Hippolyte Monnier, Teodor Grand, Jules Gregory, Antoine Khalil, Elyas Mahdjoub, Pierre-Yves Brillet, Stephane Tran Ba, Valérie Bousson, Marie-Pierre Revel, Nikos Paragios
AI-Driven CT-based quantification, staging and short-term outcome prediction of COVID-19 pneumonia. CoRR (2020)
Théo Estienne, Maria Vakalopoulou, Enzo Battistella, Alexandre Carré, Théophraste Henry, Marvin Lerousseau, Charlotte Robert, Nikos Paragios, Eric Deutsch
Deep Learning Based Registration Using Spatial Gradients and Noisy Segmentation Labels. MICCAI (Challenges) (2020)
Marvin Lerousseau, Maria Vakalopoulou, Marion Classe, Julien Adam, Enzo Battistella, Alexandre Carré, Théo Estienne, Théophraste Henry, Eric Deutsch, Nikos Paragios
Weakly supervised multiple instance learning histopathological tumor segmentation. CoRR (2020)
Enzo Battistella, Maria Vakalopoulou, Théo Estienne, Marvin Lerousseau, Roger Sun, Charlotte Robert, Nikos Paragios, Eric Deutsch
Gene Expression High-Dimensional Clustering Towards a Novel, Robust, Clinically Relevant and Highly Compact Cancer Signature. IWBBIO (1) (2019)
Théo Estienne, Maria Vakalopoulou, Stergios Christodoulidis, Enzo Battistella, Marvin Lerousseau, Alexandre Carre, Guillaume Klausner, Roger Sun, Charlotte Robert, Stavroula G. Mougiakakou, Nikos Paragios, Eric Deutsch
U-ReSNet: Ultimate Coupling of Registration and Segmentation with Deep Nets. MICCAI (3) (2019)
Siddhartha Chandra, Maria Vakalopoulou, Lucas Fidon, Enzo Battistella, Théo Estienne, Roger Sun, Charlotte Robert, Eric Deutsch, Nikos Paragios
Context Aware 3D CNNs for Brain Tumor Segmentation. BrainLes@MICCAI (2) (2018)
Enzo Battistella, Laurence Cholvy
Modelling and Simulating Extreme Opinion Diffusion. ICAART (Revised Selected Papers) (2018)
Spyridon Bakas, Mauricio Reyes, András Jakab, Stefan Bauer, Markus Rempfler, Alessandro Crimi, Russell Takeshi Shinohara, Christoph Berger, Sung Min Ha, Martin Rozycki, Marcel Prastawa, Esther Alberts, Jana Lipková, John B. Freymann, Justin S. Kirby, Michel Bilello, Hassan M. Fathallah-Shaykh, Roland Wiest, Jan Kirschke, Benedikt Wiestler, Rivka R. Colen, Aikaterini Kotrotsou, Pamela LaMontagne, Daniel S. Marcus, Mikhail Milchenko, Arash Nazeri, Marc-André Weber, Abhishek Mahajan, Ujjwal Baid, Dongjin Kwon, Manu Agarwal, Mahbubul Alam, Alberto Albiol, Antonio Albiol, Alex Varghese, Tran Anh Tuan, Tal Arbel, Aaron Avery, Pranjal B., Subhashis Banerjee, Thomas Batchelder, Kayhan N. Batmanghelich, Enzo Battistella, Martin Bendszus, Eze Benson, José Bernal, George Biros, Mariano Cabezas, Siddhartha Chandra, Yi-Ju Chang, et al.
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge. CoRR (2018)
Enzo Battistella, Laurence Cholvy
A Logical Approach to Extreme Opinion Diffusion. ICAART (2) (2018)