Data synthesis and adversarial networks: A review and meta-analysis in
cancer imaging

Data synthesis and adversarial networks: A review and meta-analysis in cancer imaging

20 July 2021

Kaisar Kushibar

Zuzanna Szafranowska

Papers citing "Data synthesis and adversarial networks: A review and meta-analysis in cancer imaging"

18 / 18 papers shown

Title
A large-scale multicenter breast cancer DCE-MRI benchmark dataset with expert segmentations Lidia Garrucho C. Reidel Kaisar Kushibar Smriti Joshi Richard Osuala ... M. P. Starmans Fredrik Strand Oliver Díaz Laura Igual Karim Lekadir 66 5 0 24 Feb 2025
Simulating Dynamic Tumor Contrast Enhancement in Breast MRI using Conditional Generative Adversarial Networks Richard Osuala Smriti Joshi Apostolia Tsirikoglou Lidia Garrucho Walter H. L. Pinaya Daniel M. Lang J. Schnabel Oliver Díaz Karim Lekadir MedIm 36 0 0 27 Sep 2024
A Catalog of Fairness-Aware Practices in Machine Learning Engineering Gianmario Voria Giulia Sellitto Carmine Ferrara Francesco Abate A. Lucia F. Ferrucci Gemma Catolino Fabio Palomba FaML 33 3 0 29 Aug 2024
Mitigating annotation shift in cancer classification using single image generative models Marta Buetas Arcas Richard Osuala Karim Lekadir Oliver Díaz 31 0 0 30 May 2024
High-resolution synthesis of high-density breast mammograms: Application to improved fairness in deep learning based mass detection Lidia Garrucho Kaisar Kushibar Richard Osuala Oliver Díaz Alessandro Catanese Javier del Riego Maciej Bobowicz Fredrik Strand Laura Igual Karim Lekadir MedIm 25 18 0 20 Sep 2022
StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets Axel Sauer Katja Schwarz Andreas Geiger 182 489 0 01 Feb 2022
Robust deep learning-based semantic organ segmentation in hyperspectral images Silvia Seidlitz Jiansheng Fang Jan Odenthal Berkin Özdemir H. Fu ... Jiang-Dong Liu Martin Wagner Felix Nickel Beat P. Müller-Stich Lena Maier-Hein 32 8 0 09 Nov 2021
FUTURE-AI: Guiding Principles and Consensus Recommendations for Trustworthy Artificial Intelligence in Medical Imaging Karim Lekadira Richard Osuala C. Gallin Noussair Lazrak Kaisar Kushibar ... Nickolas Papanikolaou Zohaib Salahuddin Henry C. Woodruff Philippe Lambin L. Martí-Bonmatí AI4TS 63 56 0 20 Sep 2021
Instance-Conditioned GAN Arantxa Casanova Marlene Careil Jakob Verbeek M. Drozdzal Adriana Romero Soriano GAN 204 132 0 10 Sep 2021
Generative Adversarial U-Net for Domain-free Medical Image Augmentation Xiaocong Chen Yun Yvonna Li Lina Yao Ehsan Adeli Yu Zhang GAN OOD MedIm 43 17 0 12 Jan 2021
Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis Bingchen Liu Yizhe Zhu Kunpeng Song Ahmed Elgammal 165 234 0 12 Jan 2021
You Only Need Adversarial Supervision for Semantic Image Synthesis V. Sushko Edgar Schönfeld Dan Zhang Juergen Gall Bernt Schiele Anna Khoreva GAN 193 184 0 08 Dec 2020
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 279 10,348 0 12 Dec 2018
CT-Realistic Lung Nodule Simulation from 3D Conditional Generative Adversarial Networks for Robust Lung Segmentation D. Jin Ziyue Xu Youbao Tang Adam P. Harrison D. Mollura MedIm 49 185 0 11 Jun 2018
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 283 10,613 0 19 Feb 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 270 5,660 0 05 Dec 2016
Conditional Image Synthesis With Auxiliary Classifier GANs Augustus Odena C. Olah Jonathon Shlens GAN 238 3,190 0 30 Oct 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,136 0 06 Jun 2015