Deep Super-Resolution Network for Single Image Super-Resolution with Realistic Degradations. - Rao Muhammad Umer; Gian Luca Foresti; Christian Micheloni (ICDSC, 2019)

NTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and Results. - Andreas Lugmayr; Martin Danelljan; Radu Timofte; Namhyuk Ahn; Dongwoon Bai; Jie Cai 001; Yun Cao 002; Junyang Chen 001; Kaihua Cheng; Se Young Chun; Wei Deng; Mostafa El-Khamy; et al. (CVPR Workshops, 2020)

Deep Generative Adversarial Residual Convolutional Networks for Real-World Super-Resolution. - Rao Muhammad Umer; Gian Luca Foresti; Christian Micheloni (CVPR Workshops, 2020)

Deep Cyclic Generative Adversarial Residual Convolutional Networks for Real Image Super-Resolution. - Rao Muhammad Umer; Christian Micheloni (ECCV Workshops (3), 2020)

AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results. - Pengxu Wei; Hannan Lu; Radu Timofte; Liang Lin; Wangmeng Zuo; Zhihong Pan 001; Baopu Li; Teng Xi; Yanwen Fan; Gang Zhang; Jingtuo Liu; Junyu Han; et al. (ECCV Workshops (3), 2020)

AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results. - Kai Zhang 008; Martin Danelljan; Yawei Li 001; Radu Timofte; Jie Liu 040; Jie Tang 006; Gangshan Wu; Yu Zhu 004; Xiangyu He; Wenjie Xu; Chenghua Li; Cong Leng; et al. (ECCV Workshops (3), 2020)

Deep Iterative Residual Convolutional Network for Single Image Super-Resolution. - Rao Muhammad Umer; Gian Luca Foresti; Christian Micheloni (ICPR, 2020)

NTIRE 2021 Challenge on Burst Super-Resolution: Methods and Results. - Goutam Bhat; Martin Danelljan; Radu Timofte; Kazutoshi Akita; Wooyeong Cho; Haoqiang Fan; Lanpeng Jia; Daeshik Kim; Bruno Lecouat; Youwei Li; Shuaicheng Liu; Ziluan Liu; et al. (CoRR, 2021)

A Deep Residual Star Generative Adversarial Network for multi-domain Image Super-Resolution. - Rao Muhammad Umer; Asad Munir; Christian Micheloni (CoRR, 2021)

RBSRICNN: Raw Burst Super-Resolution through Iterative Convolutional Neural Network. - Rao Muhammad Umer; Christian Micheloni (CoRR, 2021)

Real Image Super-Resolution using GAN through modeling of LR and HR process. - Rao Muhammad Umer; Christian Micheloni (AVSS, 2022)

LBKENet:Lightweight Blur Kernel Estimation Network for Blind Image Super-Resolution. - Asif Hussain Khan; Rao Muhammad Umer; Matteo Dunnhofer; Christian Micheloni; Niki Martinel (ICIAP (2), 2023)

Federated Learning for Data and Model Heterogeneity in Medical Imaging. - Hussain Ahmad Madni; Rao Muhammad Umer; Gian Luca Foresti (ICIAP Workshops (2), 2023)

Blockchain-Based Swarm Learning for the Mitigation of Gradient Leakage in Federated Learning. - Hussain Ahmad Madni; Rao Muhammad Umer; Gian Luca Foresti (IEEE Access, 2023)

Imbalanced Domain Generalization for Robust Single Cell Classification in Hematological Cytomorphology. - Rao Muhammad Umer; Armin Gruber; Sayedali Shetab Boushehri; Christian Metak; Carsten Marr (CoRR, 2023)

Swarm-FHE: Fully Homomorphic Encryption-based Swarm Learning for Malicious Clients. - Hussain Ahmad Madni; Rao Muhammad Umer; Gian Luca Foresti (Int. J. Neural Syst., 2023)

DomainLab: A modular Python package for domain generalization in deep learning. - Xudong Sun 002; Carla Feistner; Alexej Gossmann; George Schwarz; Rao Muhammad Umer; Lisa Beer; Patrick Rockenschaub; Rahul Babu Shrestha; Armin Gruber; Nutan Chen; Sayedali Shetab Boushehri; Florian Buettner 001; et al. (CoRR, 2024)

Robust Federated Learning for Heterogeneous Model and Data. - Hussain Ahmad Madni; Rao Muhammad Umer; Gian Luca Foresti (Int. J. Neural Syst., 2024)

FL-W3S: Cross-domain federated learning for weakly supervised semantic segmentation of white blood cells. - Hussain Ahmad Madni; Rao Muhammad Umer; Silvia Zottin; Carsten Marr; Gian Luca Foresti (Int. J. Medical Informatics, 2025)

AI-Driven Cytomorphology Image Synthesis for Medical Diagnostics. - Jan Carreras Boada; Rao Muhammad Umer; Carsten Marr (CoRR, 2025)