Adrià Casamitjana

Contributions while at GPI


Journal Articles

2020
A. Casamitjana, Vilaplana, V., Puch, S., Aduriz, A., Lopez, C., Operto, G., Cacciaglia, R., Falcon, C., Molinuevo, J. L., and Gispert, J. D., NeAT: a nonlinear analysis toolbox for neuroimaging, Neuroinformatics, 2020.
A. Casamitjana, Petrone, P., Molinuevo, J. Luis, Gispert, J. D., and Vilaplana, V., Projection to Latent Spaces disentangles pathological effects on brain morphology in the asymptomatic phase of Alzheimer’s disease, Frontiers in Neurology, section Applied Neuroimaging, vol. 11, 2020.
2019
L. Wang, Nie, D., Li, G., Puybareau, E., Dolz, J., Zhang, Q., Wang, F., Xia, J., Wu, Z., Chen, J., -HanThung, K., Bui, T. Duc, Shin, J., Zeng, G., Zheng, G., Fonov, V. S., Doyle, A., Xu, Y., Moeskops, P., Pluim, J., Desrosiers, C., Ben Ayed, I., Sanroma, G., Benkarim, O., Casamitjana, A., Vilaplana, V., Lin, W., Li, G., and Shen, D., Benchmark on Automatic 6-month-old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge, IEEE Transactions on Medical Imaging, 2019.
H. Kuijf, Biesbroek, M., de Bresser, J., Heinen, R., Andermatt, S., Bento, M., Berseth, M., Belyaev, M., Cardoso, J., Casamitjana, A., Collins, L., Dadar, M., Georgiou, A., Ghafoorian, M., Jin, D., Khademi, A., Knight, J., Li, H., Llado, X., Luna, M., Mahmood, Q., McKinley, R., Mehrtash, A., Ourselin, S., Park, B. -yong, Park, H., Park, S. Hyun, Pezold, S., Puybareau, E., Rittner, L., Sudre, C., Valverde, S., Vilaplana, V., Wiest, R., Xu, Y., Xu, Z., Zeng, G., Zhang, J., Zheng, G., Chen, C., van der Flier, W., Barkhof, F., Viergever, M., and Biessels, G. Jan, Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities; Results of the WMH Segmentation Challenge, IEEE Transactions on Medical Imaging, 2019.
P. Petrone, Casamitjana, A., Falcon, C., Cànaves, M. Artigues, Operto, G., Cacciaglia, R., Molinuevo, J. Luis, Vilaplana, V., and Gispert, J. D., Prediction of amyloid pathology in cognitively unimpaired individuals using voxelwise analysis of longitudinal structural brain MRI, Alzheimer's Research & Therapy, vol. 11, no. 1, 2019.

Book Chapters and Books

2018
A. Casamitjana, Catà, M., Sánchez, I., Combalia, M., and Vilaplana, V., Cascaded V-Net Using ROI Masks for Brain Tumor Segmentation, in Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. BrainLes 2017, Crimi A., Bakas S., Kuijf H., Menze B., Reyes M. (eds)., vol. 10670, Cham: Springer, 2018, pp. 381-391.
A. Casamitjana, Vilaplana, V., Petrone, P., Molinuevo, J. Luis, and Gispert, J. D., Shared Latent Structures Between Imaging Features and Biomarkers in Early Stages of Alzheimer’s Disease, in PRedictive Intelligence in MEdicine, vol. 11121, Springer International Publishing, 2018, pp. 60-67.
2017
A. Casamitjana, Puch, S., Aduriz, A., and Vilaplana, V., 3D Convolutional Neural Networks for Brain Tumor Segmentation: a comparison of multi-resolution architectures, in Lecture Notes in Computer Vision, vol. Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, Springer, 2017, pp. 150-161.

Conference Papers

2019
A. Casamitjana, Petrone, P., Falcon, C., Artigues, M., Operto, G., Cacciaglia, R., Molinuevo, J. L., Vilaplana, V., and Gispert, J. D., Detection of Amyloid Positive Cognitively unimpaired individuals using voxel-based machine learning on structural longitudinal brain MRI, in Alzheimer's Association International Conference, 2019.
2018
P. Petrone, Casamitjana, A., Falcon, C., Artigues, M., Operto, G., Skouras, S., Cacciaglia, R., Molinuevo, J. L., Vilaplana, V., and Gispert, J. D., Characteristic Brain Volumetric Changes in the AD Preclinical Signature, in Alzheimer's Association International Conference, Chicago, USA, 2018.
A. Casamitjana, Petrone, P., Artigues, M., Molinuevo, J. L., Gispert, J. D., and Vilaplana, V., Projection to Latent Spaces Disentangles Specific Cerebral Morphometric Patterns Associated to Aging and Preclinical AD, in Alzheimer's Association International Conference, Chicago, USA, 2018.
A. Casamitjana, Vilaplana, V., Petrone, P., Molinuevo, J. Luis, and Gispert, J. D., Shared latent structures between imaging features and biomarkers in early stages of Alzheimer's disease, in Workshop on Predictive Intelligence in Medicine (PRIME), MICCAI, Granada, Spain, 2018.
S. Bakas, Reyes, M., Jakab, A., Bauer, S., Casamitjana, A., Vilaplana, V., and Al., et., Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge, in MICCAI - Multimodal Brain Tumor Segmentation Challenge, 2018.

Research Areas

Biomedical Applications Internal Jan
2012
Dec
2026
Preclinical Alzheimer's Disease Internal Jan
2015
Dec
2024

Demos and Resources