Red blood cell image generation for data augmentation using Conditional Generative Adversarial Networks

18 January 2019

Papers citing "Red blood cell image generation for data augmentation using Conditional Generative Adversarial Networks"

8 / 8 papers shown

Title
BioGAN: An unpaired GAN-based image to image translation model for microbiological images Saber Mirzaee Bafti C. Ang G. Marcelli M. Hossain Sadiya Maxamhud A. Tsaousis MedIm 31 1 0 09 Jun 2023
Generative modeling of living cells with SO(3)-equivariant implicit neural representations David Wiesner Julian Suk Sven Dummer Tereza Nečasová V. Ulman D. Svoboda J. Wolterink DiffM MedIm 32 17 0 18 Apr 2023
CS $^2$ : A Controllable and Simultaneous Synthesizer of Images and Annotations with Minimal Human Intervention Xiaodan Xing Jiahao Huang Yang Nan Yinzhe Wu Chengjia Wang Zhifan Gao Simon Walsh Guang Yang DiffM MedIm 31 7 0 20 Jun 2022
GAN-Based Data Augmentation and Anonymization for Skin-Lesion Analysis: A Critical Review Alceu Bissoto Eduardo Valle Sandra Avila MedIm 58 62 0 20 Apr 2021
Explainability of deep vision-based autonomous driving systems: Review and challenges Éloi Zablocki H. Ben-younes P. Pérez Matthieu Cord XAI 48 170 0 13 Jan 2021
Tubular Shape Aware Data Generation for Semantic Segmentation in Medical Imaging I. Sirazitdinov H. Schulz A. Saalbach S. Renisch Dmitry Dylov MedIm 34 2 0 02 Oct 2020
Synthetic Data for Deep Learning Sergey I. Nikolenko 46 348 0 25 Sep 2019
Synthesizing Diverse Lung Nodules Wherever Massively: 3D Multi-Conditional GAN-based CT Image Augmentation for Object Detection Changhee Han Yoshiro Kitamura Akira Kudo Akimichi Ichinose L. Rundo Yujiro Furukawa Kazuki Umemoto Yuanzhong Li Hideki Nakayama MedIm 24 116 0 12 Jun 2019