Oliver Díaz

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All published works

Action	Title	Year	Authors
+ PDF Chat	Simulating Dynamic Tumor Contrast Enhancement in Breast MRI using Conditional Generative Adversarial Networks	2024	Richard Osuala Saurabh Joshi Apostolia Tsirikoglou Lidia Garrucho Walter Hugo Lopez Pinaya Daniel M. Lang Julia Schnabel Oliver Díaz Karim Lekadir
+ PDF Chat	MAMA-MIA: A Large-Scale Multi-Center Breast Cancer DCE-MRI Benchmark Dataset with Expert Segmentations	2024	Lidia Garrucho Claire-Anne Reidel Kaisar Kushibar Smriti Joshi Richard Osuala Apostolia Tsirikoglou Maciej Bobowicz Javier del Riego Alessandro Catanese Katarzyna Gwoździewicz
+ PDF Chat	Mitigating annotation shift in cancer classification using single image generative models	2024	Marta Buetas Arcas Richard Osuala Karim Lekadir Oliver Díaz
+ PDF Chat	Mitigating annotation shift in cancer classification using single-image generative models	2024	Marta Buetas Arcas Richard Osuala Karim Lekadir Oliver Díaz
+ PDF Chat	Pre- to post-contrast breast MRI synthesis for enhanced tumour segmentation	2024	Richard Osuala Smriti Joshi Apostolia Tsirikoglou Lidia Garrucho Moras Walter Hugo Lopez Pinaya Oliver Díaz Karim Lekadir
+ PDF Chat	Towards Learning Contrast Kinetics with Multi-Condition Latent Diffusion Models	2024	Richard Osuala Daniel J. Lang Preeti Verma Smriti Joshi Apostolia Tsirikoglou Grzegorz Skorupko Kaisar Kushibar Lidia Garrucho Walter Hugo Lopez Pinaya Oliver Díaz
+ PDF Chat	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
+ PDF Chat	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 Díaz Alessandro Catanese Javier del Riego Maciej Bobowicz Fredrik Strand Laura Igual Karim Lekadir
+	Revisiting Skin Tone Fairness in Dermatological Lesion Classification	2023	Thorsten Kalb Kaisar Kushibar Celia Cintas Karim Lekadir Oliver Díaz Richard Osuala
+	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
+	Pre- to Post-Contrast Breast MRI Synthesis for Enhanced Tumour Segmentation	2023	Richard Osuala Saurabh Joshi Apostolia Tsirikoglou Lidia Garrucho Walter Hugo Lopez Pinaya Oliver Díaz Karim Lekadir
+	Data synthesis and adversarial networks: A review and meta-analysis in cancer imaging	2022	Richard Osuala Kaisar Kushibar Lidia Garrucho Akis Linardos Zuzanna Szafranowska Stefan Klein Ben Glocker Oliver Díaz Karim Lekadir
+	Domain generalization in deep learning based mass detection in mammography: A large-scale multi-center study	2022	Lidia Garrucho Kaisar Kushibar Socayna Jouide Oliver Díaz Laura Igual Karim Lekadir
+ PDF Chat	Sharing generative models instead of private data: a simulation study on mammography patch classification	2022	Zuzanna Szafranowska Richard Osuala Bennet Breier Kaisar Kushibar Karim Lekadir Oliver Díaz
+	Domain generalization in deep learning-based mass detection in mammography: A large-scale multi-center study	2022	Lidia Garrucho Kaisar Kushibar Socayna Jouide Oliver Díaz Laura Igual Karim Lekadir
+	High-resolution synthesis of high-density breast mammograms: Application to improved fairness in deep learning based mass detection	2022	Lidia Garrucho Kaisar Kushibar Richard Osuala Oliver Díaz Alessandro Catanese Javier del Riego Maciej Bobowicz Fredrik Strand Laura Igual Karim Lekadir
+	medigan: a Python library of pretrained generative models for medical image synthesis	2022	Richard Osuala Grzegorz Skorupko Noussair Lazrak Lidia Garrucho Eloy García Saurabh Joshi Socayna Jouide Michael Rutherford Fred Prior Kaisar Kushibar
+	A Review of Generative Adversarial Networks in Cancer Imaging: New Applications, New Solutions.	2021	Richard Osuala Kaisar Kushibar Lidia Garrucho Akis Linardos Zuzanna Szafranowska Stefan Klein Ben Glocker Oliver Díaz Karim Lekadir
+	Deep learning reconstruction of digital breast tomosynthesis images for accurate breast density and patient-specific radiation dose estimation	2021	Jonas Teuwen Nikita Moriakov Christian Fedon Marco Caballo Ingrid Reiser Pedrag Bakic Eloy García Oliver Díaz Koen Michielsen Ioannis Sechopoulos
+	Data synthesis and adversarial networks: A review and meta-analysis in cancer imaging	2021	Richard Osuala Kaisar Kushibar Lidia Garrucho Akis Linardos Zuzanna Szafranowska Stefan Klein Ben Glocker Oliver Díaz Karim Lekadir
+	Battling Epidemics & Disparity with Modeling:	2020	Anuj Mubayi Jeff Sullivan Jason Shafrin Oliver Díaz Aditi Ghosh Anamika Mubayi Olcay Akman Phani Veeranki
+ PDF Chat	Quality analysis of DCGAN-generated mammography lesions	2020	Basel Alyafi Oliver Díaz Premkumar Elangovan Joan C. Vilanova Javier del Riego Robert Martí
+ PDF Chat	DCGANs for realistic breast mass augmentation in x-ray mammography	2020	Basel Alyafi Oliver Díaz Robert Martí
+	Deep learning reconstruction of digital breast tomosynthesis images for accurate breast density and patient-specific radiation dose estimation	2020	Jonas Teuwen Nikita Moriakov Christian Fedon Marco Caballo Ingrid Reiser Pedrag Bakic Eloy García Oliver Díaz Koen Michielsen Ioannis Sechopoulos
+ PDF Chat	Battling Epidemics & Disparity with Modeling	2020	Anuj Mubayi Jeff Sullivan Jason Shafrin Oliver Díaz Aditi Ghosh Anamika Mubayi Olcay Akman Phani Veeranki
+	Quality analysis of DCGAN-generated mammography lesions	2019	Basel Alyafi Oliver Díaz Joan C. Vilanova Javier del Riego Robert Martí
+	DCGANs for Realistic Breast Mass Augmentation in X-ray Mammography	2019	Basel Alyafi Oliver Díaz Robert Martí
+	Quality analysis of DCGAN-generated mammography lesions	2019	Basel Alyafi Oliver Díaz Joan C. Vilanova Javier del Riego Robert Martí
+	DCGANs for Realistic Breast Mass Augmentation in X-ray Mammography	2019	Basel Alyafi Oliver Díaz Robert Martí
+ PDF Chat	Modeling realistic breast lesions using diffusion limited aggregation	2012	Alaleh Rashidnasab Premkumar Elangovan David R. Dance Kenneth C. Young Oliver Díaz Kevin Wells
+	Realistic simulation of breast mass appearance using random walk	2012	Alaleh Rashidnasab Premkumar Elangovan David R. Dance Kenneth C. Young Mary Yip Oliver Díaz Kevin Wells

Common Coauthors

Coauthor	Papers Together
Karim Lekadir	19
Richard Osuala	17
Kaisar Kushibar	14
Lidia Garrucho	13
Javier del Riego	6
Robert Martí	6
Basel Alyafi	6
Smriti Joshi	5
Laura Igual	5
Apostolia Tsirikoglou	5
Socayna Jouide	4
Stefan Klein	4
Fred Prior	4
Walter Hugo Lopez Pinaya	4
Zuzanna Szafranowska	4
Maciej Bobowicz	4
Ben Glocker	4
Alessandro Catanese	3
Grzegorz Skorupko	3
Akis Linardos	3
Saurabh Joshi	3
Joan C. Vilanova	3
Fredrik Strand	3
Premkumar Elangovan	3
Eloy García	3
David R. Dance	2
Kostas Marias	2
Martijn P.A. Starmans	2
Christian Fedon	2
Marta Buetas Arcas	2
Koen Michielsen	2
Noussair Lazrak	2
Kenneth C. Young	2
Ioannis Sechopoulos	2
Anamika Mubayi	2
Olcay Akman	2
Michael Rutherford	2
Ingrid Reiser	2
Jeff Sullivan	2
Celia Cintas	2
Phani Veeranki	2
Kevin Wells	2
Jason Shafrin	2
Aditi Ghosh	2
Anuj Mubayi	2
Nikita Moriakov	2
Julia A. Schnabel	2
Marco Caballo	2
Jonas Teuwen	2
Alaleh Rashidnasab	2

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks	2015	Alec Radford Luke Metz Soumith Chintala	5
+	OPTIMAM Mammography Image Database: A Large-Scale Resource of Mammography Images and Clinical Data	2020	Mark Halling‐Brown Lucy M. Warren Dominic Ward Emma Lewis Alistair Mackenzie Matthew Wallis Louise Wilkinson Rosalind Given-Wilson Rita McAvinchey Kenneth C. Young	5
+ PDF Chat	Causality matters in medical imaging	2020	Daniel C. Castro Ian D. Walker Ben Glocker	4
+	Data synthesis and adversarial networks: A review and meta-analysis in cancer imaging	2022	Richard Osuala Kaisar Kushibar Lidia Garrucho Akis Linardos Zuzanna Szafranowska Stefan Klein Ben Glocker Oliver Díaz Karim Lekadir	4
+	GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium	2017	Martin Heusel Hubert Ramsauer Thomas Unterthiner Bernhard Nessler Sepp Hochreiter	4
+ PDF Chat	DCGANs for realistic breast mass augmentation in x-ray mammography	2020	Basel Alyafi Oliver Díaz Robert Martí	4
+ PDF Chat	Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks	2017	Jun-Yan Zhu Taesung Park Phillip Isola Alexei A. Efros	4
+ PDF Chat	GAN-based synthetic medical image augmentation for increased CNN performance in liver lesion classification	2018	Maayan Frid-Adar Idit Diamant Eyal Klang Michal Marianne Amitai Jacob Goldberger Hayit Greenspan	4
+ PDF Chat	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	4
+ PDF Chat	Pros and cons of GAN evaluation measures: New developments	2021	Ali Borji	4
+ PDF Chat	Quality analysis of DCGAN-generated mammography lesions	2020	Basel Alyafi Oliver Díaz Premkumar Elangovan Joan C. Vilanova Javier del Riego Robert Martí	4
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	4
+	Improved Techniques for Training GANs	2016	Tim Salimans Ian Goodfellow Wojciech Zaremba Vicki Cheung Alec Radford Xi Chen	4
+ PDF Chat	High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs	2018	Ting-Chun Wang Ming-Yu Liu Jun-Yan Zhu Andrew Tao Jan Kautz Bryan Catanzaro	3
+ PDF Chat	Pros and cons of GAN evaluation measures	2018	Ali Borji	3
+ PDF Chat	The Unreasonable Effectiveness of Deep Features as a Perceptual Metric	2018	Richard Zhang Phillip Isola Alexei A. Efros Eli Shechtman Oliver Wang	3
+	PyTorch: An Imperative Style, High-Performance Deep Learning Library	2019	Adam Paszke Sam Gross Francisco Massa Adam Lerer James T. Bradbury Gregory Chanan Trevor Killeen Zeming Lin Natalia Gimelshein Luca Antiga	3
+	Improved Training of Wasserstein GANs	2017	Ishaan Gulrajani Faruk Ahmed Martín Arjovsky Vincent Dumoulin Aaron Courville	3
+	FUTURE-AI: Guiding Principles and Consensus Recommendations for Trustworthy Artificial Intelligence in Medical Imaging	2021	Karim Lekadir Richard Osuala Catherine Simone Gallin Noussair Lazrak Kaisar Kushibar Gianna Tsakou Susanna Aussó L. Cerdá Alberich Kostas Marias Manolis Tsiknakis	3
+ PDF Chat	Generative adversarial network in medical imaging: A review	2019	Yi Xin Ekta Walia Paul Babyn	3
+ PDF Chat	Sharing generative models instead of private data: a simulation study on mammography patch classification	2022	Zuzanna Szafranowska Richard Osuala Bennet Breier Kaisar Kushibar Karim Lekadir Oliver Díaz	3
+	Domain generalization in deep learning based mass detection in mammography: A large-scale multi-center study	2022	Lidia Garrucho Kaisar Kushibar Socayna Jouide Oliver Díaz Laura Igual Karim Lekadir	3
+	Conditional Generative Adversarial Nets	2014	Mehdi Mirza Simon Osindero	3
+ PDF Chat	SinGAN-Seg: Synthetic training data generation for medical image segmentation	2022	Vajira Thambawita Pegah Salehi Sajad Amouei Sheshkal Steven A. Hicks Hugo Lewi Hammer Sravanthi Parasa Thomas de Lange Pål Halvorsen Michael A. Riegler	3
+ PDF Chat	Deep Convolutional Neural Network for Inverse Problems in Imaging	2017	Kyong Hwan Jin Michael T. McCann Emmanuel Froustey Michaël Unser	2
+	Predicting the course of Gompertzian growth	1976	Larry Norton Richard Simon Harmar D. Brereton Arthur E. Bogdén	2
+ PDF Chat	Distribution Matching Losses Can Hallucinate Features in Medical Image Translation	2018	Joseph Cohen Margaux Luck Sina Honari	2
+ PDF Chat	Image-to-Image Translation with Conditional Adversarial Networks	2017	Phillip Isola Jun-Yan Zhu Tinghui Zhou Alexei A. Efros	2
+ PDF Chat	Semantic Image Synthesis With Spatially-Adaptive Normalization	2019	Taesung Park Ming-Yu Liu Ting-Chun Wang Jun-Yan Zhu	2
+ PDF Chat	Denoising adversarial autoencoders: classifying skin lesions using limited labelled training data	2018	Antonia Creswell Alison Pouplin Anil A. Bharath	2
+	Mitigating Unwanted Biases with Adversarial Learning	2018	Brian Hu Zhang Blake Lemoine Margaret Mitchell	2
+	Scalable Private Learning with PATE	2018	Nicolas Papernot Shuang Song Ilya Mironov Ananth Raghunathan Kunal Talwar Úlfar Erlingsson	2
+	Generative Modeling by Estimating Gradients of the Data Distribution	2019	Yang Song Stefano Ermon	2
+	NICE: Non-linear Independent Components Estimation	2014	Laurent Dinh David Krueger Yoshua Bengio	2
+	On the Evaluation of Conditional GANs	2019	Terrance DeVries Adriana Romero Luis A. Pineda Graham W. Taylor Michal Drozdzal	2
+	BCN20000: Dermoscopic Lesions in the Wild	2019	Marc Combalia Noel Codella Veronica Rotemberg Brian Helba Verónica Vilaplana Ofer Reiter Cristina Carrera Alicia Barreiro Allan C. Halpern Susana Puig	2
+	Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge	2018	Spyridon Bakas Mauricio Reyes Enzo Battistella Siddhartha Chandra Huiguang He Lucas Fidon Maria Vakalopoulou Roger Sun et al. Éric Deutsch	2
+ PDF Chat	Estimation of the Mean of a Multivariate Normal Distribution	1981	Charles Stein	2
+	ProstateGAN: Mitigating Data Bias via Prostate Diffusion Imaging Synthesis with Generative Adversarial Networks	2018	Xiaodan Hu Audrey G. Chung Paul Fieguth Farzad Khalvati Masoom A. Haider Alexander Wong	2
+ PDF Chat	Medical Image Synthesis for Data Augmentation and Anonymization Using Generative Adversarial Networks	2018	Hoo-Chang Shin Neil Tenenholtz Jameson K. Rogers Christopher G. Schwarz Matthew L. Senjem Jeffrey L. Gunter Katherine P. Andriole Mark Michalski	2
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	2
+	Privacy-Protective-GAN for Face De-identification	2018	Yifan Wu Fan Yang Haibin Ling	2
+	Data Decisions and Theoretical Implications when Adversarially Learning Fair Representations	2017	Alex Beutel Ed H. Jilin Chen Zhe Zhao	2
+	Generative Adversarial Networks for MR-CT Deformable Image Registration	2018	Christine Tanner Fırat Özdemir Romy Profanter Valeriy Vishnevsky Ender Konukoğlu Orçun Göksel	2
+	Abnormal Colon Polyp Image Synthesis Using Conditional Adversarial Networks for Improved Detection Performance	2018	Younghak Shin Hemin Ali Qadir Ilangko Balasingham	2
+	Generative adversarial networks and adversarial methods in biomedical image analysis	2018	Jelmer M. Wolterink Konstantinos Kamnitsas Christian Ledig Ivana Išgum	2
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	2
+	Generalizing to Unseen Domains via Adversarial Data Augmentation	2018	Riccardo Volpi Hongseok Namkoong Ozan Şener John C. Duchi Vittorio Murino Silvio Savarese	2
+ PDF Chat	Deep learning framework for digital breast tomosynthesis reconstruction	2019	Nikita Moriakov Koen Michielsen Jonas Adler Ritse M. Mann Ioannis Sechopoulos Jonas Teuwen	2
+	A large annotated medical image dataset for the development and evaluation of segmentation algorithms	2019	Amber L. Simpson Michela Antonelli Spyridon Bakas Michel Bilello Keyvan Farahani Bram van Ginneken Annette Kopp‐Schneider Bennett A. Landman Geert Litjens Bjoern Menze	2