Oliver Diaz
Associate Professor at UB. He teachs several modules of the BSc in Computer Science, incIuding Computer Vision
-
oliver.diaz@ub.edu
-
Website
-
LinkedIn
-
Twitter
-
Research Gate
-
Google Scholar
Profile summary
Dr. Oliver Díaz is an Associate Professor at the Faculty of Mathematics and Computer Science at the University of Barcelona. He holds a PhD in Electronic Engineering from the University of Surrey, UK (2013) and was a Marie Skłodowska-Curie Fellow (2015-2017). He has 15 years international research experience in the field of medical imaging and medical physics, and has participated in 20+ research projects. Dr Díaz is member of several national and international working groups, board member at large of European Society of Medical Imaging Informatics (EuSoMII) or member of European Society of Radiology Imaging Biomarkers Alliance Subcommittee among other committees. His research’s interests include the use of Machine Learning / Artificial Intelligence tools applied to healthcare.
Latest publications
Oliver Diaz has 108 publications on Google Scholar.
Only the last 20 publications are shown here.
Access Oliver Diaz Google Scholar Profile
ChatGPT y educación universitaria: posibilidades y límites de ChatGPT como herramienta docente
2024 | Mireia Ribera, Oliver Díaz | Universitat de Barcelona. IDP/ICE & Ediciones Octaedro, 2024
Joint AAPM Task Group 282/EFOMP Working Group Report: Breast dosimetry for standard and contrast‐enhanced mammography and breast tomosynthesis
2024 | Ioannis Sechopoulos, David R Dance, John M Boone, Hilde T Bosmans, Marco Caballo, Oliver Diaz, Ruben van Engen, Christian Fedon, Stephen J Glick, Andrew M Hernandez, Melissa L Hill, Katie W Hulme, Renata Longo, Carolina Rabin, Wendelien BG Sanderink, J Anthony Seibert | Medical physics 51 (2), 712-739, 2024
Towards Learning Contrast Kinetics with Multi-Condition Latent Diffusion Models
2024 | Richard Osuala, Daniel Lang, Preeti Verma, Smriti Joshi, Apostolia Tsirikoglou, Grzegorz Skorupko, Kaisar Kushibar, Lidia Garrucho, Walter HL Pinaya, Oliver Diaz, Julia Schnabel, Karim Lekadir | arXiv preprint arXiv:2403.13890, 2024
ChatGPT y educación universitaria: posibilidades y límites de ChatGPT como herramienta docente [vídeo]
2024 | Daniel Ortiz Martínez, Eloi Puertas i Prats, Mireia Ribera, Oliver Díaz, Cristina Galván Fernández, Raúl Arango Pérez, Miguel Huayllas Choque, Meritxell Martínez Riera, Roger Angela i Gambús, Jordi Tremosa Armengol | Universitat de Barcelona. Institut de Desenvolupament Professional (IDP-ICE), 2024
Data synthesis and adversarial networks: A review and meta-analysis in cancer imaging
2023 | Richard Osuala, Kaisar Kushibar, Lidia Garrucho, Akis Linardos, Zuzanna Szafranowska, Stefan Klein, Ben Glocker, Oliver Diaz, Karim Lekadir | Medical Image Analysis 84, 102704, 2023
medigan: a Python library of pretrained generative models for medical image synthesis
2023 | Richard Osuala, Grzegorz Skorupko, Noussair Lazrak, Lidia Garrucho, Eloy García, Smriti Joshi, Socayna Jouide, Michael Rutherford, Fred Prior, Kaisar Kushibar, Oliver Díaz, Karim Lekadir | Journal of Medical Imaging 10 (6), 061403-061403, 2023
FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare
2023 | Karim Lekadir, Aasa Feragen, Abdul Joseph Fofanah, Alejandro F Frangi, Alena Buyx, Anais Emelie, Andrea Lara, Antonio R Porras, An-Wen Chan, Arcadi Navarro, Ben Glocker, Benard O Botwe, Bishesh Khanal, Brigit Beger, Carol C Wu, Celia Cintas, Curtis P Langlotz, Daniel Rueckert, Deogratias Mzurikwao, Dimitrios I Fotiadis, Doszhan Zhussupov, Enzo Ferrante, Erik Meijering, Eva Weicken, Fabio A González, Folkert W Asselbergs, Fred Prior, Gabriel P Krestin, Gary Collins, Geletaw S Tegenaw, Georgios Kaissis, Gianluca Misuraca, Gianna Tsakou, Girish Dwivedi, Haridimos Kondylakis, Harsha Jayakody, Henry C Woodruf, Hugo JWL Aerts, Ian Walsh, Ioanna Chouvarda, Irène Buvat, Islem Rekik, James Duncan, Jayashree Kalpathy-Cramer, Jihad Zahir, Jinah Park, John Mongan, Judy W Gichoya, Julia A Schnabel, Kaisar Kushibar, Katrine Riklund, Kensaku Mori, Kostas Marias, Lameck M Amugongo, Lauren A Fromont, Lena Maier-Hein, Leonor Cerdá Alberich, Leticia Rittner, Lighton Phiri, Linda Marrakchi-Kacem, Lluís Donoso-Bach, Luis Martí-Bonmatí, M Jorge Cardoso, Maciej Bobowicz, Mahsa Shabani, Manolis Tsiknakis, Maria A Zuluaga, Maria Bielikova, Marie-Christine Fritzsche, Marius George Linguraru, Markus Wenzel, Marleen De Bruijne, Martin G Tolsgaard, Marzyeh Ghassemi, Md Ashrafuzzaman, Melanie Goisauf, Mohammad Yaqub, Mohammed Ammar, Mónica Cano Abadía, Mukhtar ME Mahmoud, Mustafa Elattar, Nicola Rieke, Nikolaos Papanikolaou, Noussair Lazrak, Oliver Díaz, Olivier Salvado, Oriol Pujol, Ousmane Sall, Pamela Guevara, Peter Gordebeke, Philippe Lambin, Pieta Brown, Purang Abolmaesumi, Qi Dou, Qinghua Lu, Richard Osuala, Rose Nakasi, S Kevin Zhou, Sandy Napel, Sara Colantonio, Shadi Albarqouni, Smriti Joshi, Stacy Carter, Stefan Klein, Steffen E Petersen, Susanna Aussó, Suyash Awate, Tammy Riklin Raviv, Tessa Cook, Tinashe EM Mutsvangwa, Wendy A Rogers, Wiro J Niessen, Xènia Puig-Bosch, Yi Zeng, Yunusa G Mohammed, Yves Saint James Aquino, Zohaib Salahuddin, Martijn Starmans | arXiv preprint arXiv:2309.12325, 2023
High-resolution synthesis of high-density breast mammograms: Application to improved fairness in deep learning based mass detection
2023 | Lidia Garrucho, Kaisar Kushibar, Richard Osuala, Oliver Diaz, Alessandro Catanese, Javier Del Riego, Maciej Bobowicz, Fredrik Strand, Laura Igual, Karim Lekadir | Frontiers in Oncology 12, 7424, 2023
Pre-to Post-Contrast Breast MRI Synthesis for Enhanced Tumour Segmentation
2023 | Richard Osuala, Smriti Joshi, Apostolia Tsirikoglou, Lidia Garrucho, Walter HL Pinaya, Oliver Diaz, Karim Lekadir | arXiv preprint arXiv:2311.10879, 2023
Revisiting Skin Tone Fairness in Dermatological Lesion Classification
2023 | Thorsten Kalb, Kaisar Kushibar, Celia Cintas, Karim Lekadir, Oliver Diaz, Richard Osuala | Workshop on Clinical Image-Based Procedures, 246-255, 2023
Reviews in cancer imaging and image-directed interventions
2023 | Omar S Al-Kadi, Oliver Diaz | Frontiers in Oncology 13, 1183302, 2023
A fully automatic method for vascular tortuosity feature extraction in the supra-aortic region: unraveling possibilities in stroke treatment planning
2023 | Pere Canals, Simone Balocco, Oliver Díaz, Jiahui Li, A García-Tornel, Alejandro Tomasello, Marta Olivé-Gadea, Marc Ribó | Computerized Medical Imaging and Graphics 104, 102170, 2023
From the clinic: A survey on trustworthy AI in breast cancer*
2023 | Smriti Joshi, Anais Emelie, Maciej Bobowicz, Gianna Tsakou, Stefanie Charalambous, Zohaib Salahuddin, Oliver Diaz, Karim Lekadir | 2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in …, 2023
SELF-QuestionnAIre
2023 | Oliver Díaz | Revista del Congrés Internacional de Docència Universitària i Innovació (CIDUI), 2023
Pre‐procedural 3D visualization of deep‐learning vascular segmentation enhances identification of difficult femoral access in thrombectomy
2023 | Pere Canals, Manuel Requena, Álvaro García‐Tornel, Marc Molina, Alejandro Tomasello, Jiahui Li, Simone Balocco, Oliver Díaz, Marc Ribó | Stroke: Vascular and Interventional Neurology 3, e12823_153, 2023
Cardiometabolic risk estimation using exposome data and machine learning
2023 | Angélica Atehortúa, Polyxeni Gkontra, Marina Camacho, Oliver Diaz, Maria Bulgheroni, Valentina Simonetti, Marc Chadeau-Hyam, Janine F Felix, Sylvain Sebert, Karim Lekadir | International Journal of Medical Informatics 179, 105209, 2023
OPEN ACCESS EDITED BY
2023 | Oliver Diaz, Zhaohua Miao, Bingxia Zhao, Shanhui Fan, Hengyu Zhao, Qingliang Zhao, Jingsong Mao, L Yang, Y Chen, S Ling, J Wang, G Wang, B Zhang, H Zhao, Q Zhao | Reviews in cancer imaging and image-directed interventions, 59, 2023
End-to-end mammographic breast density quantification with deep learning: preliminary study on simulated mammograms
2023 | Sjoerd AM Tunissen, Andrea Motta, Franziska Mauter, Eloy García, Oliver Diaz, John M Boone, Ioannis Sechopoulos, Marco Caballo | Medical Imaging 2023: Computer-Aided Diagnosis 12465, 99-105, 2023
Abstract Number‐11: Automated Measurement Of Vascular Tortuosity: Association With Baseline Clinical Characteristics And Impact On Mechanical Thrombectomy
2023 | Pere Canals, Jiahui Li, Simone Balocco, Oliver Díaz Montesdeoca, Alejandro Tomasello, Marc Ribo | Stroke: Vascular and Interventional Neurology 3, e12446, 2023
Automated Measurement Of Vascular Tortuosity: Association With Baseline Clinical Characteristics And Impact On Thrombectomy Procedures
2023 | Pere Canals, Jiahui Li, Simone Balocco, Oliver Diaz, Alejandro Tomasello, Marc Ribo | STROKE 54, 2023
