MiCroKiTS 4.0: a database of midbody, centrosome, kinetochore, telomere and spindle. - Zhengnan Huang; Lili Ma; Yongbo Wang; Zhicheng Pan; Jian Ren 002; Zexian Liu; Yu Xue 001 (Nucleic Acids Res., 2015)

Complete hazard ranking to analyze right-censored data: An ALS survival study. - Zhengnan Huang; Hongjiu Zhang; Jonathan Boss; Stephen A. Goutman; Bhramar Mukherjee; Ivo D. Dinov; Yuanfang Guan (PLoS Comput. Biol., 2017)

State-of-the-Art Machine Learning MRI Reconstruction in 2020: Results of the Second fastMRI Challenge. - Matthew J. Muckley; Bruno Riemenschneider; Alireza Radmanesh; Sunwoo Kim; Geunu Jeong; Jingyu Ko; Yohan Jun; Hyungseob Shin; Dosik Hwang; Mahmoud Mostapha; Simon Arberet; Dominik Nickel; et al. (CoRR, 2020)

A Simulation Pipeline to Generate Realistic Breast Images for Learning DCE-MRI Reconstruction. - Zhengnan Huang; Jonghyun Bae; Patricia M. Johnson; Terlika Sood; Laura Heacock; Justin Fogarty; Linda Moy; Sungheon Gene Kim; Florian Knoll (MLMIR@MICCAI, 2021)

fastMRI+: Clinical Pathology Annotations for Knee and Brain Fully Sampled Multi-Coil MRI Data. - Ruiyang Zhao; Burhaneddin Yaman; Yuxin Zhang; Russell Stewart; Austin Dixon; Florian Knoll; Zhengnan Huang; Yvonne W. Lui; Michael S. Hansen; Matthew P. Lungren (CoRR, 2021)

Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction. - Matthew J. Muckley; Bruno Riemenschneider; Alireza Radmanesh; Sunwoo Kim; Geunu Jeong; Jingyu Ko; Yohan Jun; Hyungseob Shin; Dosik Hwang; Mahmoud Mostapha; Simon Arberet; Dominik Nickel; et al. (IEEE Trans. Medical Imaging, 2021)

Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging. - Kerstin Hammernik; Thomas Küstner; Burhaneddin Yaman; Zhengnan Huang; Daniel Rueckert; Florian Knoll; Mehmet Akçakaya (CoRR, 2022)

Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging: Combining physics and machine learning for improved medical imaging. - Kerstin Hammernik; Thomas Küstner; Burhaneddin Yaman; Zhengnan Huang; Daniel Rueckert; Florian Knoll; Mehmet Akçakaya (IEEE Signal Process. Mag., 2023)