Conference and other publications

2019
Meyer M.I., de la Rosa E., Van Leemput K., Sima D.M. Relevance Vector Machines for Harmonization of MRI Brain Volumes Using Image Descriptors Proceedings of the 2nd Workshop on Machine Learning in Clinical Neuroimaging (MLCN 2019), Shenzhen, China, October 2019.
A. Zhylka, A. Leemans, J. Pluim, A. De Luca On fiber orientation distribution peak selection for diffusion MRI fiber tractography Magnetic Resonance Materials in Physics (2019) 32(Supplement 1): 1
F. Navarro, S. Shit, I. Ezhov, J. Paetzold, A. Gafita, J. Peeken, S. Combs, B. Menze Shape-Aware Complementary-Task Learning for Multi-Organ Segmentation Proceedings of the 10th International Workshop on Machine Learning in Medical Imaging (MLMI 2019), Shenzhen, China, October 2019.
I. Ezhov, J. Lipkova, S. Shit, F. Kofler, N. Collomb, B. Lemasson, E. Barbier, B. Menze Neural parameters estimation for brain tumor growth modeling Proceedings of the 22th International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), Shenzhen, China, October 2019.
L. Fidon, M. Ebner, L. C. Garcia-Peraza-Herrera, M. Modat, S. Ourselin, T. Vercauteren Incompressible image registration using divergence-conforming B-splines MICCAI 2019.
Canalini, L., Klein, J., Miller, D., Kikinis, R. Registration of ultrasound volumes based on Euclidean distance transform, CuRIOUS Challenge, MICCAI 2019.
L. Ning, E. Bonet-Carne, F. Grussu, F. Sepehrband, E. Kaden, J. Veraart, S. Blumberg, C. S. Khoo, M. Palombo, J. Coll-Font, B. Scherrer, S. Warfield, S. Karayumak, Y. Rathi, S. Koppers, L. W., J. Ebert, D. Merhof, D. Moyer, M. Pietsch, D. Christiaens, R. Teixeira, J.-D. Tournier, A. Zhylka, J. Pluim, G. Parker, U. Rudrapatna, J. Evans, C. Charron, D. Jones, C.Tax Cross-scanner and cross-protocol harmonisation of multi-shell diffusion MRI data: open challenge and evaluation results ISMRM 2019
L. Ning, E. Bonet-Carne, F. Grussu, F. Sepehrband,E. Kaden, J. Veraart, S. B. Blumberg, C. S. Khoo, M. Palombo, J. Coll-Font, B. Scherrer, S. K. Warfield, Su C. Karayumak, Y. Rathi, S. Koppers, L. Weninger, J. Ebert, D. Merhof, D. Moyer, M. Pietsch, D. Christiaens, R. Teixeira, J.-D. Tournier, A. Zhylka, J. Pluim, G. Parker, U. Rudrapatna, J. Evans, C. Charron, D. K. Jones and C. W. M. Tax Muti-shell Diffusion MRI Harmonisationand Enhancement Challenge(MUSHAC): Progress and Results Computational Diffusion MRI: International MICCAI Workshop, Granada, Spain, September 2018. Springer, p. 217-224
de la Rosa, E., Sima, D. M., Vyvere, T. V., Kirschke, J. S., & Menze, B. (2018). A Radiomics Approach to Traumatic Brain Injury Prediction in CT Scans. International Symposium on Biomedical Imaging (ISBI), Venice, Italy (2019).
T. Yu; M. Pizzolato; E. J. Canales-Rodrı́guez; J.-P. Thiran Robust T2 Relaxometry with Hamiltonian MCMC for Myelin Water Fraction Estimation. IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), Venice, Italy, April 8-11, 2019.
T. Yu; M. Pizzolato; G. Girard; J. R. Patino Lopez; E. Jorge Canales-Rodriguez et al. Robust Biophysical Parameter Estimation with a Neural Network Enhanced Hamiltonian Markov Chain Monte Carlo Sampler. Information Processing in Medical Imaging (IPMI 2019), Hong Kong, June 2-7 2019.

2018

La Rosa, Francesco, Mário João Fartaria, Tobias Kober, Jonas Richiardi, Cristina Granziera, Jean-Philippe Thiran, Meritxell Bach Cuadra Shallow vs deep learning architectures for white matter lesion segmentation in the early stages of multiple sclerosis. International MICCAI Brainlesion Workshop. Springer, Cham, 2018.