Martin Lillholm

Unsupervised Deep Learning Applied to Breast Density Segmentation and Mammographic Risk Scoring

Michiel Kallenberg, Kersten Petersen, Mads Nielsen et al. · IEEE Transactions on Medical Imaging · 2016 · 437 citations

Convolutional Neural Network, Multiple Instance Learning, Engineering +21

Quaternions, Interpolation and Animation

Erik B. Dam, Martín Koch, Martin Lillholm · 2000 · 298 citations

Differential diagnosis of mild cognitive impairment and Alzheimer's disease using structural MRI cortical thickness, hippocampal shape, hippocampal texture, and volumetry

Lauge Sørensen, Christian Igel, Akshay Pai et al. · NeuroImage Clinical · 2016 · 178 citations · Full text

Neuropsychology, Longitudinal Neuroimaging, Social Sciences +19

An Artificial Intelligence–based Mammography Screening Protocol for Breast Cancer: Outcome and Radiologist Workload

Andreas D. Lauritzen, Alejandro Rodríguez‐Ruiz, My von Euler‐Chelpin et al. · Radiology · 2022 · 151 citations · Full text

Automatic segmentation of high- and low-field knee MRIs using knee image quantification with data from the osteoarthritis initiative

Erik B. Dam, Martin Lillholm, Joselene Marques et al. · Journal of Medical Imaging · 2015 · 105 citations · Full text

Engineering, Orthopaedic Surgery, Diagnostic Imaging +18