Comparison of 1-d and 2-d surface coil arrays for accelerated volume MR imaging using sensitivity encoding. - Peter Kellman; Martin J. Schnermann; Elliot R. McVeigh (ISBI, 2002)

Optimization of a high sensitivity MRI receive coil for parallel human brain imaging. - Jacco A. de Zwart; Patrick J. Ledden; Peter van Gelderen; Peter Kellman; Yuxi Pang; Renxin Chu; Jeff H. Duyn (ISBI, 2002)

Reduction of Gradient Acoustic Noise in MRI Using SENSE-EPI. - Jacco A. de Zwart; Peter van Gelderen; Peter Kellman; Jeff H. Duyn (NeuroImage, 2002)

Method for functional MRI mapping of nonlinear response. - Peter Kellman; Peter van Gelderen; Jacco A. de Zwart; Jozef H. Duyn (NeuroImage, 2003)

Hunting for neuronal currents: absence of rapid MRI signal changes during visual-evoked response. - Renxin Chu; Jacco A. de Zwart; Peter van Gelderen; Masaki Fukunaga; Peter Kellman; Tom Holroyd; Jeff H. Duyn (NeuroImage, 2004)

Temporal dynamics of the BOLD fMRI impulse response. - Jacco A. de Zwart; Afonso C. Silva; Peter van Gelderen; Peter Kellman; Masaki Fukunaga; Renxin Chu; Alan P. Koretsky; Joseph A. Frank; Jeff H. Duyn (NeuroImage, 2005)

Parallelized Hybrid TGRAPPA Reconstruction for Real-Time Interactive MRI. - Haris Saybasili; Peter Kellman; J. Andrew Derbyshire; Elliot R. McVeigh; Michael A. Guttman (MICCAI (2), 2008)

Semiautomated Segmentation of Myocardial Contours for Fast Strain Analysis in Cine Displacement-Encoded MRI. - Ting Chen 001; James S. Babb; Peter Kellman; Leon Axel; Daniel Kim (IEEE Trans. Medical Imaging, 2008)

Unsupervised Inline Analysis of Cardiac Perfusion MRI. - Hui Xue 006; Sven Zühlsdorff; Peter Kellman; Andrew E. Arai; Sonia Nielles-Vallespin; Christophe Chefd'Hotel; Christine H. Lorenz; Jens Guehring (MICCAI (1), 2009)

Exploiting Quasiperiodicity in Motion Correction of Free-Breathing Myocardial Perfusion MRI. - Gert Wollny; María J. Ledesma-Carbayo; Peter Kellman; Andrés Santos (IEEE Trans. Medical Imaging, 2010)

Nonrigid Motion Compensation of Free Breathing Acquired Myocardial Perfusion Data. - Gert Wollny; Peter Kellman; Andrés Santos; María J. Ledesma-Carbayo (Bildverarbeitung für die Medizin, 2011)

Automatic View Planning for Cardiac MRI Acquisition. - Xiaoguang Lu; Marie-Pierre Jolly; Bogdan Georgescu; Carmel Hayes; Peter Speier; Michaela Schmidt; Xiaoming Bi; Randall Kroeker; Dorin Comaniciu; Peter Kellman; Edgar Mueller; Jens Guehring (MICCAI (3), 2011)

Simultaneous detection of landmarks and key-frame in cardiac perfusion MRI using a joint spatial-temporal context model. - Xiaoguang Lu; Hui Xue 006; Marie-Pierre Jolly; Christoph Guetter; Peter Kellman; Li-yueh Hsu; Andrew E. Arai; Sven Zühlsdorff; Arne Littmann; Bogdan Georgescu; Jens Guehring (Image Processing, 2011)

Automatic motion compensation of free breathing acquired myocardial perfusion data by using independent component analysis. - Gert Wollny; Peter Kellman; Andrés Santos; María J. Ledesma-Carbayo (Medical Image Anal., 2012)

MIA - A free and open source software for gray scale medical image analysis. - Gert Wollny; Peter Kellman; María J. Ledesma-Carbayo; Matthew M. Skinner; Jean-Jaques Hublin; Thomas Hierl (Source Code Biol. Medicine, 2013)

Accelerating Cardiovascular Magnetic Resonance Imaging: Signal Processing Meets Nuclear Spins [Life Sciences]. - Anthony G. Christodoulou; Peter Kellman; Zhi-Pei Liang (IEEE Signal Process. Mag., 2014)

Automated Detection of Left Ventricle in Arterial Input Function Images for Inline Perfusion Mapping using Deep Learning: A study of 15, 000 Patients. - Hui Xue 006; Ethan Tseng; Kristopher D. Knott; Tushar Kotecha; Louise Brown; Sven Plein; Marianna Fontana; James C. Moon; Peter Kellman (CoRR, 2019)

Automated Inline Analysis of Myocardial Perfusion MRI with Deep Learning. - Hui Xue 006; Rhodri H. Davies; Louis A. E. Brown; Kristopher D. Knott; Tushar Kotecha; Marianna Fontana; Sven Plein; James C. Moon; Peter Kellman (CoRR, 2019)

Landmark detection in Cardiac Magnetic Resonance Imaging Using A Convolutional Neural Network. - Hui Xue 006; Jessica Artico; Marianna Fontana; James C. Moon; Rhodri H. Davies; Peter Kellman (CoRR, 2020)

Cut out the annotator, keep the cutout: better segmentation with weak supervision. - Sarah M. Hooper; Michael Wornow; Ying Hang Seah; Peter Kellman; Hui Xue 006; Frederic Sala; Curtis P. Langlotz; Christopher Ré (ICLR, 2021)

High-fidelity Database-free Deep Learning Reconstruction for Real-time Cine Cardiac MRI. - Ömer Burak Demirel; Chi Zhang 057; Burhaneddin Yaman; Merve Gülle; Chetan Shenoy; Tim Leiner; Peter Kellman; Mehmet Akçakaya (EMBC, 2023)

An accurate and time-efficient deep learning-based system for automated segmentation and reporting of cardiac magnetic resonance-detected ischemic scar. - Daniele M. Papetti; Kirsten van Abeelen; Rhodri H. Davies; Roberto Menè; Francesca Heilbron; Francesco P. Perelli; Jessica Artico; Andreas Seraphim; James C. Moon; Gianfranco Parati; Hui Xue 006; Peter Kellman; et al. (Comput. Methods Programs Biomed., 2023)

Recurrent inference machine for medical image registration. - Yi Zhang 120; Yidong Zhao; Hui Xue 006; Peter Kellman; Stefan Klein 001; Qian Tao (Medical Image Anal., 2025)

SNRAware: Improved Deep Learning MRI Denoising with SNR Unit Training and G-factor Map Augmentation. - Hui Xue 006; Sarah M. Hooper; Iain Pierce; Rhodri H. Davies; John Stairs; Joseph Naegele; Adrienne E. Campbell-Washburn; Charlotte Manisty; James C. Moon; Thomas A. Treibel; Peter Kellman; Michael S. Hansen (CoRR, 2025)