Summary of evolutionary computation for wind farm layout optimization. - Dennis G. Wilson; Silvio Rodrigues; Carlos Segura; Ilya Loshchilov; Frank Hutter; Guillermo López Buenfil; Ahmed Kheiri; Ed Keedwell; Mario Ocampo-Pineda; Ender Özcan; Sergio Iwan Valdez Pea; Brian Goldman; et al. (GECCO (Companion), 2018)

Cuda Parallelization of Commit Framework for Efficient Microstructure-Informed Tractography. - Erick Hernandez-Gutierrez; Alonso Ramirez-Manzanares; José L. Marroquín; Mario Ocampo-Pineda; Alessandro Daducci (ISBI, 2019)

Limits to anatomical accuracy of diffusion tractography using modern approaches. - Kurt G. Schilling; Vishwesh Nath; Colin B. Hansen; Prasanna Parvathaneni; Justin A. Blaber; Yurui Gao; Peter Neher; Dogu Baran Aydogan; Yonggang Shi; Mario Ocampo-Pineda; Simona Schiavi; Alessandro Daducci; et al. (NeuroImage, 2019)

Enhancing Reliability Of Structural Brain Connectivity With Outlier Adjusted Tractogram Filtering. - Viljami Sairanen; Mario Ocampo-Pineda; Cristina Granziera; Simona Schiavi; Alessandro Daducci (ISBI, 2021)

Hierarchical Microstructure Informed Tractography. - Mario Ocampo-Pineda; Simona Schiavi; François Rheault; Gabriel Girard; Laurent Petit; Maxime Descoteaux; Alessandro Daducci (Brain Connect., 2021)

Tractography dissection variability: What happens when 42 groups dissect 14 white matter bundles on the same dataset? - Kurt G. Schilling; François Rheault; Laurent Petit; Colin B. Hansen; Vishwesh Nath; Fang-Cheng Yeh; Gabriel Girard; Muhamed Barakovic; Jonathan Rafael-Patino; Thomas Yu; Elda Fischi Gomez; Marco Pizzolato; et al. (NeuroImage, 2021)

Microstructure informed tractography with anatomical priors. - Mario Ocampo-Pineda (2021)

Incorporating outlier information into diffusion-weighted MRI modeling for robust microstructural imaging and structural brain connectivity analyses. - Viljami Sairanen; Mario Ocampo-Pineda; Cristina Granziera; Simona Schiavi; Alessandro Daducci (NeuroImage, 2022)

TimeAwareBPMN-js: An editor and temporal verification tool for Time-Aware BPMN processes. - Mario Ocampo-Pineda; Roberto Posenato; Francesca Zerbato (SoftwareX, 2022)

GAMER-MRIL identifies Disability-Related Brain Changes in Multiple Sclerosis. - Po-Jui Lu; Benjamin Odry; Muhamed Barakovic; Matthias Weigel; Robin Sandkühler; Reza Rahmanzadeh; Xinjie Chen; Mario Ocampo-Pineda; Jens Kuhle; Ludwig Kappos; Philippe C. Cattin; Cristina Granziera (CoRR, 2023)

Tractography passes the test: Results from the diffusion-simulated connectivity (disco) challenge. - Gabriel Girard; Jonathan Rafael-Patino; Raphaël Truffet; Dogu Baran Aydogan; Nagesh Adluru; Veena A. Nair; Vivek Prabhakaran; Barbara B. Bendlin; Andrew L. Alexander; Sara Bosticardo; Ilaria Gabusi; Mario Ocampo-Pineda; et al. (NeuroImage, 2023)

Denoising Diffusion Models for 3D Healthy Brain Tissue Inpainting. - Alicia Durrer; Julia Wolleb; Florentin Bieder; Paul Friedrich 002; Lester Melie-García; Mario Ocampo-Pineda; Cosmin I. Bercea; Ibrahim Ethem Hamamci; Benedikt Wiestler; Marie Piraud; Özgür Yaldizli; Cristina Granziera; et al. (DGM4MICCAI@MICCAI, 2024)

Interpretability of Uncertainty: Exploring Cortical Lesion Segmentation in Multiple Sclerosis. - Nataliia Molchanova; Alessandro Cagol; Pedro M. Gordaliza; Mario Ocampo-Pineda; Po-Jui Lu; Matthias Weigel; Xinjie Chen; Adrien Depeursinge; Cristina Granziera; Henning Müller; Meritxell Bach Cuadra (ISIC/iMIMIC/EARTH/DeCaF@MICCAI, 2024)

Exploiting XAI Maps to Improve MS Lesion Segmentation and Detection in MRI. - Federico Spagnolo; Nataliia Molchanova; Mario Ocampo-Pineda; Lester Melie-García; Meritxell Bach Cuadra; Cristina Granziera; Vincent Andrearczyk; Adrien Depeursinge (ISIC/iMIMIC/EARTH/DeCaF@MICCAI, 2024)

Instance-level quantitative saliency in multiple sclerosis lesion segmentation. - Federico Spagnolo; Nataliia Molchanova; Roger Schaer; Meritxell Bach Cuadra; Mario Ocampo-Pineda; Lester Melie-García; Cristina Granziera; Vincent Andrearczyk; Adrien Depeursinge (CoRR, 2024)

Explainability of AI Uncertainty: Application to Multiple Sclerosis Lesion Segmentation on MRI. - Nataliia Molchanova; Pedro M. Gordaliza; Alessandro Cagol; Mario Ocampo-Pineda; Po-Jui Lu; Matthias Weigel; Xinjie Chen; Erin S. Beck; Haris Tsagkas; Daniel S. Reich; Anna Stölting; Pietro Maggi; et al. (CoRR, 2025)

Benchmarking and Explaining Deep Learning Cortical Lesion MRI Segmentation in Multiple Sclerosis. - Nataliia Molchanova; Alessandro Cagol; Mario Ocampo-Pineda; Po-Jui Lu; Matthias Weigel; Xinjie Chen; Erin S. Beck; Charidimos Tsagkas; Daniel S. Reich; Colin Vanden Bulcke; Anna Stölting; Serena Borrelli; et al. (CoRR, 2025)