Menze, Bjoern H.;Van Leemput, Koen;Lashkari, Danial;Riklin-Raviv, Tammy;Geremia, Ezequiel;Alberts, Esther;Gruber, Philipp;Wegener, Susanne;Weber, Marc-Andre;Szekely, Gabor;Ayache, Nicholas;Golland, Polina
A Generative Probabilistic Model and Discriminative Extensions for Brain Lesion Segmentation— With Application to Tumor and Stroke
IEEE Transactions on Medical Imaging
2016
35
4
933-946

Alberts, Esther;Charpiat, Guillaume;Tarabalka, Yuliya;Huber, Thomas;Weber, Marc-André;Bauer, Jan;Zimmer, Claus;Menze, Bjoern H.
A Nonparametric Growth Model for Brain Tumor Segmentation in Longitudinal MR Sequences
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries
Springer International Publishing
2016

Molina-Romero, Miguel;Gómez, Pedro A.;Sperl, Jonathan I.;Czisch, Michael;Sämann, Philipp G.;Jones, Derek K.;Menzel, Marion I.;Menze, Bjoern H.
A diffusion model-free framework with echo time dependence for free-water elimination and brain tissue microstructure characterization
Magnetic Resonance in Medicine
2018
80
5
2155-2172

Bieth, Marie;Donner, Rene;Langs, Georg;Schwaiger, Markus;Menze, Bjoern
Anatomical triangulation: from sparse landmarks to dense annotation of the skeleton in CT images
Procedings of the British Machine Vision Conference 2015
British Machine Vision Association
2015

Fahmy, Ahmed S.;Rausch, Johannes;Neisius, Ulf;Chan, Raymond H.;Maron, Martin S.;Appelbaum, Evan;Menze, Bjoern;Nezafat, Reza
Automated Cardiac MR Scar Quantification in Hypertrophic Cardiomyopathy Using Deep Convolutional Neural Networks
JACC: Cardiovascular Imaging
2018
11
12
1917-1918

Xu, Lina;Tetteh, Giles;Lipkova, Jana;Zhao, Yu;Li, Hongwei;Christ, Patrick;Piraud, Marie;Buck, Andreas;Shi, Kuangyu;Menze, Bjoern H.
Automated Whole-Body Bone Lesion Detection for Multiple Myeloma on 68Ga-Pentixafor PET/CT Imaging Using Deep Learning Methods
Contrast Media & Molecular Imaging
2018
2018
1-11

Bothmann, Ludwig;Menzel, Annette;Menze, Bjoern H.;Schunk, Christian;Kauermann, Göran
Automated processing of webcam images for phenological classification
PLOS ONE
2017
12
2
e0171918

Christ, Patrick Ferdinand;Elshaer, Mohamed Ezzeldin A.;Ettlinger, Florian;Tatavarty, Sunil;Bickel, Marc;Bilic, Patrick;Rempfler, Markus;Armbruster, Marco;Hofmann, Felix;D’Anastasi, Melvin;Sommer, Wieland H.;Ahmadi, Seyed-Ahmad;Menze, Bjoern H.
Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random Fields
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016
Springer International Publishing
2016

Shen, Jun;Baum, Thomas;Cordes, Christian;Ott, Beate;Skurk, Thomas;Kooijman, Hendrik;Rummeny, Ernst J.;Hauner, Hans;Menze, Bjoern H.;Karampinos, Dimitrios C.
Automatic segmentation of abdominal organs and adipose tissue compartments in water-fat MRI: Application to weight-loss in obesity
European Journal of Radiology
2016
85
9
1613-1621

Han, Xu;Kwitt, Roland;Aylward, Stephen;Bakas, Spyridon;Menze, Bjoern;Asturias, Alexander;Vespa, Paul;Van Horn, John;Niethammer, Marc
Brain extraction from normal and pathological images: A joint PCA/Image-Reconstruction approach
NeuroImage
2018
176
431-445