Enzo Battistella

27 papers B 1Journal 16Unranked 9
YearRankTypeTitle / Venue / Authors
2025 J jnl
Understanding high-order network structure using permissible walks on attributed hypergraphs.
J. Complex Networks
Audun Myers, Enzo Battistella, Sean English, Robert Green, Cliff A. Joslyn, Evgeniya Lagoda, Van Magnan, Evan D. Nash, Michael Robinson
2025 J jnl
insilicoSV: a flexible grammar-based framework for structural variant simulation and placement.
Bioinform.
Enzo Battistella, Nick Jiang, Chris Rohlicek, Ilya Shlyakhter, Victoria Popic
2025 B conf
ralphi: A Deep Reinforcement Learning Framework for Haplotype Assembly.
RECOMB
Enzo Battistella, Anant Maheshwari, Baris Ekim, Bonnie Berger, Victoria Popic
2024 J jnl
GHOST: Graph-based higher-order similarity transformation for classification.
Pattern Recognit.
Enzo Battistella, Maria Vakalopoulou, Nikos Paragios, Eric Deutsch
2024 J jnl
Improving the performance and interpretability on medical datasets using graphical ensemble feature selection.
Bioinform.
Enzo Battistella, Susan Dina Ghiassian, Albert-László Barabási
2024 J jnl
Understanding High-Order Network Structure using Permissible Walks on Attributed Hypergraphs.
CoRR
Enzo Battistella, Sean English, Robert Green, Cliff A. Joslyn, Evgeniya Lagoda, Van Magnan, Audun Myers, Evan D. Nash, Michael Robinson
2022 J jnl
COMBING: Clustering in Oncology for Mathematical and Biological Identification of Novel Gene Signatures.
IEEE ACM Trans. Comput. Biol. Bioinform.
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
2021 J jnl
AI-driven quantification, staging and outcome prediction of COVID-19 pneumonia.
Medical Image Anal.
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
2021 J jnl
Cancer Gene Profiling through Unsupervised Discovery.
CoRR
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
2021 — conf
Exploring Deep Registration Latent Spaces.
DART/FAIR@MICCAI
Théo Estienne, Maria Vakalopoulou, Stergios Christodoulidis, Enzo Battistella, Théophraste Henry, Marvin Lerousseau, Amaury Leroy, Guillaume Chassagnon, Marie-Pierre Revel, Nikos Paragios, Eric Deutsch
2021 J jnl
Exploring Deep Registration Latent Spaces.
CoRR
Théo Estienne, Maria Vakalopoulou, Stergios Christodoulidis, Enzo Battistella, Théophraste Henry, Marvin Lerousseau, Amaury Leroy, Guillaume Chassagnon, Marie-Pierre Revel, Nikos Paragios, Eric Deutsch
2021 — —
High Dimensional Graph Theoretical Approaches for Various Omics Data. (Approches de théorie des graphes d'ordre supérieur pour diverses données omiques).
Enzo Battistella
2021 J jnl
MICS : Multi-steps, Inverse Consistency and Symmetric deep learning registration network.
CoRR
Théo Estienne, Maria Vakalopoulou, Enzo Battistella, Théophraste Henry, Marvin Lerousseau, Amaury Leroy, Nikos Paragios, Eric Deutsch
2021 — conf
Weakly Supervised Pan-Cancer Segmentation Tool.
MICCAI (8)
Marvin Lerousseau, Marion Classe, Enzo Battistella, Théo Estienne, Théophraste Henry, Amaury Leroy, Roger Sun, Maria Vakalopoulou, Jean-Yves Scoazec, Eric Deutsch, Nikos Paragios
2021 J jnl
Weakly supervised pan-cancer segmentation tool.
CoRR
Marvin Lerousseau, Marion Classe, Enzo Battistella, Théo Estienne, Théophraste Henry, Amaury Leroy, Roger Sun, Maria Vakalopoulou, Jean-Yves Scoazec, Eric Deutsch, Nikos Paragios
2020 J jnl
AI-Driven CT-based quantification, staging and short-term outcome prediction of COVID-19 pneumonia.
CoRR
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
2020 — conf
Deep Learning Based Registration Using Spatial Gradients and Noisy Segmentation Labels.
MICCAI (Challenges)
Théo Estienne, Maria Vakalopoulou, Enzo Battistella, Alexandre Carré, Théophraste Henry, Marvin Lerousseau, Charlotte Robert, Nikos Paragios, Eric Deutsch
2020 J jnl
Deep Learning-Based Concurrent Brain Registration and Tumor Segmentation.
Frontiers Comput. Neurosci.
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
2020 J jnl
Deep learning based registration using spatial gradients and noisy segmentation labels.
CoRR
Théo Estienne, Maria Vakalopoulou, Enzo Battistella, Alexandre Carré, Théophraste Henry, Marvin Lerousseau, Charlotte Robert, Nikos Paragios, Eric Deutsch
2020 — conf
Weakly Supervised Multiple Instance Learning Histopathological Tumor Segmentation.
MICCAI (5)
Marvin Lerousseau, Maria Vakalopoulou, Marion Classe, Julien Adam, Enzo Battistella, Alexandre Carré, Théo Estienne, Théophraste Henry, Eric Deutsch, Nikos Paragios
2020 J jnl
Weakly supervised multiple instance learning histopathological tumor segmentation.
CoRR
Marvin Lerousseau, Maria Vakalopoulou, Marion Classe, Julien Adam, Enzo Battistella, Alexandre Carré, Théo Estienne, Théophraste Henry, Eric Deutsch, Nikos Paragios
2019 — conf
Gene Expression High-Dimensional Clustering Towards a Novel, Robust, Clinically Relevant and Highly Compact Cancer Signature.
IWBBIO (1)
Enzo Battistella, Maria Vakalopoulou, Théo Estienne, Marvin Lerousseau, Roger Sun, Charlotte Robert, Nikos Paragios, Eric Deutsch
2019 — conf
U-ReSNet: Ultimate Coupling of Registration and Segmentation with Deep Nets.
MICCAI (3)
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
2018 — conf
A Logical Approach to Extreme Opinion Diffusion.
ICAART (2)
Enzo Battistella, Laurence Cholvy
2018 — conf
Context Aware 3D CNNs for Brain Tumor Segmentation.
BrainLes@MICCAI (2)
Siddhartha Chandra, Maria Vakalopoulou, Lucas Fidon, Enzo Battistella, Théo Estienne, Roger Sun, Charlotte Robert, Eric Deutsch, Nikos Paragios
2018 J jnl
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge.
CoRR
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.
2018 — conf
Modelling and Simulating Extreme Opinion Diffusion.
ICAART (Revised Selected Papers)
Enzo Battistella, Laurence Cholvy