Articles with public access mandates - Mads NielsenLearn more
Not available anywhere: 13
Ensemble support vector machine classification of dementia using structural MRI and mini-mental state examination
L Sørensen, M Nielsen, Alzheimer's Disease Neuroimaging Initiative
Journal of neuroscience methods 302, 66-74, 2018
Mandates: US National Institutes of Health, Canadian Institutes of Health Research
Breast tissue segmentation and mammographic risk scoring using deep learning
K Petersen, M Nielsen, P Diao, N Karssemeijer, M Lillholm
Breast Imaging: 12th International Workshop, IWDM 2014, Gifu City, Japan …, 2014
Mandates: Danish National Advanced Technology Foundation
Risk stratification of women with false-positive test results in mammography screening based on mammographic morphology and density: a case control study
RR Winkel, M von Euler-Chelpin, E Lynge, P Diao, M Lillholm, ...
Cancer epidemiology 49, 53-60, 2017
Mandates: Danish National Advanced Technology Foundation
Training shortest-path tractography: Automatic learning of spatial priors
N Kasenburg, M Liptrot, NL Reislev, SN Ørting, M Nielsen, E Garde, ...
NeuroImage 130, 63-76, 2016
Mandates: US National Institutes of Health
Partial feedback online transfer learning with multi-source domains
Z Kang, M Nielsen, B Yang, MM Ghazi
Information Fusion 89, 29-40, 2023
Mandates: National Natural Science Foundation of China, Danish National Research …
A unifying framework for automatic and semi-automatic segmentation of vertebrae from radiographs using sample-driven active shape models
P Mysling, K Petersen, M Nielsen, M Lillholm
Machine vision and applications 24 (7), 1421-1434, 2013
Mandates: Danish National Research Foundation
A buffered online transfer learning algorithm with multi-layer network
Z Kang, B Yang, M Nielsen, L Deng, S Yang
Neurocomputing 488, 581-597, 2022
Mandates: National Natural Science Foundation of China
Diagnostic test accuracy study of a commercially available deep learning algorithm for ischemic lesion detection on brain MRIs in suspected stroke patients from a non …
CH Krag, FC Müller, KL Gandrup, H Raaschou, MB Andersen, ...
European Journal of Radiology 168, 111126, 2023
Mandates: Innovation Fund Denmark
Online transfer learning with partial feedback
Z Kang, M Nielsen, B Yang, L Deng, SS Lorenzen
Expert Systems with Applications 212, 118738, 2023
Mandates: National Natural Science Foundation of China, Danish National Research …
Active Transfer Learning for 3D Hippocampus Segmentation
J Wu, Z Kang, SN Llambias, MM Ghazi, M Nielsen
Workshop on Medical Image Learning with Limited and Noisy Data, 224-234, 2023
Mandates: Danish National Research Foundation
Leveraging Shape and Spatial Information for Spontaneous Preterm Birth Prediction
P Pegios, EPF Sejer, M Lin, Z Bashir, MBS Svendsen, M Nielsen, ...
International Workshop on Advances in Simplifying Medical Ultrasound, 57-67, 2023
Mandates: Danish National Research Foundation
Instance-Specific Augmentation of Brain MRIs with Variational Autoencoders
J Middleton, M Bauer, J Johansen, M Nielsen, S Sommer, A Pai
MICCAI Workshop on Medical Applications with Disentanglements, 49-58, 2022
Mandates: Innovation Fund Denmark
Morphometric connectivity analysis to distinguish normal, mild cognitive impaired, and Alzheimer subjects based on brain MRI
L Lillemark, L Sørensen, P Mysling, A Pai, EB Dam, M Nielsen
Medical Imaging 2013: Image Processing 8669, 595-600, 2013
Mandates: Danish National Advanced Technology Foundation, Danish National Research …
Available somewhere: 39
Deep feature learning for knee cartilage segmentation using a triplanar convolutional neural network
A Prasoon, K Petersen, C Igel, F Lauze, E Dam, M Nielsen
International conference on medical image computing and computer-assisted …, 2013
Mandates: Danish Council for Strategic Research
Unsupervised deep learning applied to breast density segmentation and mammographic risk scoring
M Kallenberg, K Petersen, M Nielsen, AY Ng, P Diao, C Igel, CM Vachon, ...
IEEE transactions on medical imaging 35 (5), 1322-1331, 2016
Mandates: Danish National Advanced Technology Foundation, Innovation Fund Denmark
Standardized evaluation of algorithms for computer-aided diagnosis of dementia based on structural MRI: the CADDementia challenge
EE Bron, M Smits, WM Van Der Flier, H Vrenken, F Barkhof, P Scheltens, ...
NeuroImage 111, 562-579, 2015
Mandates: US National Institutes of Health, Canadian Institutes of Health Research
Early detection of Alzheimer's disease using M RI hippocampal texture
L Sørensen, C Igel, N Liv Hansen, M Osler, M Lauritzen, E Rostrup, ...
Human brain mapping 37 (3), 1148-1161, 2016
Mandates: US National Institutes of Health, Canadian Institutes of Health Research …
Differential diagnosis of mild cognitive impairment and Alzheimer's disease using structural MRI cortical thickness, hippocampal shape, hippocampal texture, and volumetry
L Sørensen, C Igel, A Pai, I Balas, C Anker, M Lillholm, M Nielsen, ...
NeuroImage: Clinical 13, 470-482, 2017
Mandates: US National Institutes of Health, Canadian Institutes of Health Research …
Automatic segmentation of high-and low-field knee MRIs using knee image quantification with data from the osteoarthritis initiative
EB Dam, M Lillholm, J Marques, M Nielsen
Journal of Medical imaging 2 (2), 024001-024001, 2015
Mandates: US National Institutes of Health, Danish National Research Foundation
Training recurrent neural networks robust to incomplete data: Application to Alzheimer’s disease progression modeling
MM Ghazi, M Nielsen, A Pai, MJ Cardoso, M Modat, S Ourselin, ...
Medical image analysis 53, 39-46, 2019
Mandates: US Department of Defense, US National Institutes of Health, Canadian …
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