Glaucoma diagnosis by means of optic cup feature analysis in color fundus images. - Andres Diaz-Pinto; Sandra Morales; Valery Naranjo; Pablo Alcocer; Aitor Lanzagorta (EUSIPCO, 2016)

Semi-Automatic Algorithm for Breast MRI Lesion Segmentation Using Marker-Controlled Watershed Transformation. - Sulaiman Vesal; Andres Diaz-Pinto; Nishant Ravikumar; Stephan Ellmann; AmirAbbas Davari; Andreas K. Maier (CoRR, 2017)

Retinal Image Synthesis for Glaucoma Assessment Using DCGAN and VAE Models. - Andres Diaz-Pinto; Adrián Colomer; Valery Naranjo; Sandra Morales; Yanwu Xu 001; Alejandro F. Frangi (IDEAL (1), 2018)

REFUGE Challenge: A Unified Framework for Evaluating Automated Methods for Glaucoma Assessment from Fundus Photographs. - José Ignacio Orlando; Huazhu Fu; João Barbosa Breda; Karel van Keer; Deepti R. Bathula; Andrés Diaz-Pinto; Ruogu Fang; Pheng-Ann Heng; Jeyoung Kim; Joonho Lee; Joonseok Lee; Xiaoxiao Li; et al. (CoRR, 2019)

Computer-Aided Glaucoma Diagnosis Using Stochastic Watershed Transformation on Single Fundus Images. - Andres Diaz-Pinto; Sandra Morales; Valery Naranjo; Amparo Navea (J. Medical Imaging Health Informatics, 2019)

Retinal Image Synthesis and Semi-Supervised Learning for Glaucoma Assessment. - Andres Diaz-Pinto; Adrián Colomer; Valery Naranjo; Sandra Morales; Yanwu Xu 001; Alejandro F. Frangi (IEEE Trans. Medical Imaging, 2019)

REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs. - José Ignacio Orlando; Huazhu Fu; João Barbosa Breda; Karel van Keer; Deepti R. Bathula; Andrés Diaz-Pinto; Ruogu Fang; Pheng-Ann Heng; Jeyoung Kim; Joonho Lee; Joonseok Lee; Xiaoxiao Li; et al. (Medical Image Anal., 2020)

Shape registration with learned deformations for 3D shape reconstruction from sparse and incomplete point clouds. - Xiang Chen 008; Nishant Ravikumar; Yan Xia 002; Rahman Attar; Andres Diaz-Pinto; Stefan K. Piechnik; Stefan Neubauer; Steffen E. Petersen; Alejandro F. Frangi (Medical Image Anal., 2021)

DeepEdit: Deep Editable Learning for Interactive Segmentation of 3D Medical Images. - Andres Diaz-Pinto; Pritesh Mehta; Sachidanand Alle; Muhammad Asad 001; Richard Brown 004; Vishwesh Nath; Alvin Ihsani; Michela Antonelli; Daniel Palkovics; Csaba Pinter; Ron Alkalay; Steve Pieper 001; et al. (DALI@MICCAI, 2022)

MONAI Label: A framework for AI-assisted Interactive Labeling of 3D Medical Images. - Andres Diaz-Pinto; Sachidanand Alle; Alvin Ihsani; Muhammad Asad 001; Vishwesh Nath; Fernando Pérez-García; Pritesh Mehta; Wenqi Li 001; Holger R. Roth; Tom Vercauteren; Daguang Xu; Prerna Dogra; et al. (CoRR, 2022)

Semi-Supervised Learning for Image Classification using Compact Networks in the BioMedical Context. - Adrián Inés; Andrés Diaz-Pinto; César Domínguez 001; Jónathan Heras; Eloy J. Mata; Vico Pascual (CoRR, 2022)

MONAI: An open-source framework for deep learning in healthcare. - M. Jorge Cardoso; Wenqi Li 001; Richard Brown 004; Nic Ma; Eric Kerfoot; Yiheng Wang; Benjamin Murray; Andriy Myronenko; Can Zhao 001; Dong Yang 005; Vishwesh Nath; Yufan He; et al. (CoRR, 2022)

Predicting myocardial infarction through retinal scans and minimal personal information. - Andres Diaz-Pinto; Nishant Ravikumar; Rahman Attar; Avan Suinesiaputra; Yitian Zhao; Eylem Levelt; Erica Dall' Armellina; Marco Lorenzi; Qingyu Chen 001; Tiarnan D. L. Keenan; Elvira Agrón; Emily Y. Chew; et al. (Nat. Mach. Intell., 2022)

Segment Any Medical Model Extended. - Yihao Liu 004; Jiaming Zhang; Andres Diaz-Pinto; Haowei Li; Alejandro Martin-Gomez; Amir Kheradmand; Mehran Armand (CoRR, 2024)

MONAI Label: A framework for AI-assisted interactive labeling of 3D medical images. - Andres Diaz-Pinto; Sachidanand Alle; Vishwesh Nath; Yucheng Tang; Alvin Ihsani; Muhammad Asad 001; Fernando Pérez-García; Pritesh Mehta; Wenqi Li 001; Mona Flores; Holger R. Roth; Tom Vercauteren; et al. (Medical Image Anal., 2024)

Analysing semi-supervised learning for image classification using compact networks in the biomedical context. - Adrián Inés; Andres Diaz-Pinto; César Domínguez 001; Jónathan Heras; Eloy J. Mata; Vico Pascual (Soft Comput., 2024)

SuFIA-BC: Generating High Quality Demonstration Data for Visuomotor Policy Learning in Surgical Subtasks. - Masoud Moghani; Nigel Nelson; Mohamed Ghanem; Andres Diaz-Pinto; Kush Hari; Mahdi Azizian; Ken Goldberg; Sean Huver; Animesh Garg (CoRR, 2025)