Publications
Journal papers
2026
[1] R. E. Hamdache, C. Lisazo, C. Yalcin, U. Lal-Trehan Estrada, V. Abramova, A. Casamitjana, A. Oliver, X. Lladó. Topology-aware multiclass segmentation of the Circle of Willis from MRA and CTA images (2026) Computers in Biology and Medicine. DOI: https://doi.org/10.1038/s41586-025-09708-2 [JCR: CSIA, IF:6.3, Q1(2/177)].
2025
[1] Adrià Casamitjana, Matteo Mancini, Eleanor Robinson, Loïc Peter, Roberto Annunziata, Juri Althonayan, Shauna Crampsie, Emily Blackburn, Benjamin Billot, Alessia Atzeni, Oula Puonti, Yaël Balbastre, Peter Schmidt, James Hughes, Jean C Augustinack, Brian L Edlow, Lilla Zöllei, David L Thomas, Dorit Kliemann, Martina Bocchetta, Catherine Strand, Janice L Holton, Zane Jaunmuktane, Juan Eugenio Iglesias.A probabilistic histological atlas of the human brain for MRI segmentation (2025) Nature. DOI: https://doi.org/10.1038/s41586-025-09708-2 [JCR: MS, IF: 48.5, Q1(2/135)].
[2] Adrià Casamitjana, Roser Sala-Llonch, Karim Lekadir, Juan Eugenio Iglesias. USLR: An open-source tool for unbiased and smooth longitudinal registration of brain MRI (2025) Medical Image Analysis, 75, 102265. DOI: https://doi.org/10.1016/j.media.2025.103662 [JCR: CSIA, IF: 10.7, Q1(4/170)].
2024
[1] Harshvardhan Gazula, Henry FJ Tregidgo, Benjamin Billot, Yael Balbastre, Jonathan William-Ramirez, Rogeny Herisse, Lucas J Deden-Binder, Adrià Casamitjana, Erica J Melief, Caitlin S Latimer, Mitchell D Kilgore, Mark Montine, Eleanor Robinson, Emily Blackburn, Michael S Marshall, Theresa R Connors, Derek H Oakley, Matthew P Frosch, Sean I Young, Koen Van Leemput, Adrian V Dalca, Bruce Fischl, Christine L Mac Donald, C Dirk Keene, Bradley T Hyman, Juan Eugenio Iglesias. Machine learning of dissection photographs and surface scanning for quantitative 3D neuropathology (2024). eLife. Vol:12. [JCR: B, IF: 6.4, Q1(8/109)].
[2] Karthik Gopinath, Andrew Hoopes, Daniel C Alexander, Steven E Arnold, Yael Balbastre, Benjamin Billot, Adrià Casamitjana, You Cheng, Russ Yue Zhi Chua, Brian L Edlow, Bruce Fischl, Harshvardhan Gazula, Malte Hoffmann, C Dirk Keene, Seunghoi Kim, W Taylor Kimberly, Sonia Laguna, Kathleen E Larson, Koen Van Leemput, Oula Puonti, Livia M Rodrigues, Matthew S Rosen, Henry FJ Tregidgo, Divya Varadarajan, Sean I Young, Adrian V Dalca, Juan Eugenio Iglesias. Synthetic data in generalizable, learning-based neuroimaging (2024). Imaging Neuroscience.
2022
[1] Adrià Casamitjana, Juan Eugenio Iglesias. High-resolution atlasing and segmentation of the subcortex: Review and perspective on challenges and opportunities created by machine learning (2022). Neuroimage, 263, 119616. [JCR: N, IF: 5.7, Q1(1/14)].
[2] Adrià Casamitjana, Marco Lorenzi, Sebastiano Ferraris, Loc Peter, Marc Modat, Allison Stevens, Bruce Fischl, Tom Vercauteren, Juan Eugenio Iglesias. Robust joint registration of multiple stains and MRI for multimodal 3D histology reconstruction: Application to the Allen human brain atlas (2022) Medical Image Analysis, 75, 102265. [JCR: CSIA, IF: 10.9, Q1(5/110)].
2020
[1] Yunguan Fu, Nina Montaña Brown, Shaheer U Saeed, Adrià Casamitjana, Zachary Baum, Rémi Delaunay, Qianye Yang, Alexander Grimwood, Zhe Min, Stefano B Blumberg, Juan Eugenio Iglesias, Dean C Barratt, Ester Bonmati, Daniel C Alexander, Matthew J Clarkson, Tom Vercauteren, Yipeng Hu. DeepReg: a deep learning toolkit for medical image registration (2020). Journal of Open Source Software, 5(55), 2705. DOI: https://doi.org/10.21105/joss.02705.
[2] Adrià Casamitjana, Verónica Vilaplana, Santi Puch, Asier Aduriz, Carlos López, Grégory Operto, Raffaele Cacciaglia, Carles Falcón, José Luis Molinuevo, Juan Domingo Gispert, Alzheimer’s Disease Neuroimaging Initiative. NeAT: a nonlinear analysis toolbox for neuroimaging (2020). Neuroinformatics, 18, 517-530. DOI: https://doi.org/10.1007/s12021-020-09456-w [JCR: CSIA, IF: 4.085, Q2(38/111)].
[3] Matteo Mancini, Adrià Casamitjana, Loic Peter, Eleanor Robinson, Shauna Crampsie, David L Thomas, Janice L Holton, Zane Jaunmuktane, Juan Eugenio Iglesias. A multimodal computational pipeline for 3D histology of the human brain (2020). Scientific Reports 10, 13839. DOI: https://doi.org/10.1038/s41598-020-69163-z [JCR: MS, IF: 4.38, Q1(17/72)].
2019
[1] Adrià Casamitjana, Paula Petrone, José Luis Molinuevo, Juan Domingo Gispert, Verónica Vilaplana. Projection to Latent Spaces Disentangles Pathological Effects on Brain Morphology in the Asymptomatic Phase of Alzheimer’s Disease (2020) Frontiers in Neurology, 11, 648. DOI: https://doi.org/10.3389/fneur.2020.00648 [JCR: N, IF: 4.003, Q2(117/273)].
[2] Paula M Petrone, Adrià Casamitjana, Carles Falcon, Miquel Artigues, Grégory Operto, Raffaele Cacciaglia, José Luis Molinuevo, Verónica Vilaplana, Juan Domingo Gispert. Prediction of amyloid pathology in cognitively unimpaired individuals using voxel-wise analysis of longitudinal structural brain MRI. (2019) Alzheimer’s Research & Therapy, 11, 1-13. DOI: https://doi.org/10.1186/s13195-019-0526-8 [JCR: BN, IF: 6.116, Q1(30/272)].
[3] Adria Casamitjana, Paula Petrone, José Luis Molinuevo, Juan Domingo Gispert, Verónica Vilaplana. [Shared latent structures between imaging features and biomarkers in early stages of Alzheimer’s disease: a predictive study](10.1109/JBHI.2019.2932565 (2019) IEEE Journal of Biomedical and Health Informatics, 24, 365-376. DOI: 10.1109/JBHI.2019.2932565 [JCR: CSIA, IF: 5.223, Q1(12/109)].
[4] Hugo J Kuijf, J Matthijs Biesbroek, Jeroen de Bresser, Rutger Heinen, Simon Andermatt, Mariana Bento, Matt Berseth, Mikhail Belyaev, M Jorge Cardoso, Adrià Casamitjana, …, Geert Jan Biessels. Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities; Results of the WMH Segmentation Challenge (2019) IEEE Transactions on Medical Imaging, v.38, pp.2556-2568. DOI: 10.1109/TMI.2019.2905770. [JCR: CSIA, IF=6.685, Q1(7/109)]
[5] Li Wang, Dong Nie, Guannan Li, Élodie Puybareau, …, Adrià Casamitjana, Verónica Vilaplana, Weili Lin, Gang Li, Dinggang Shen. Benchmark on Automatic 6-month-old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge (2019) IEEE Transactions on Medical Imaging v.38, pp.2219-2230. DOI: 10.1109/TMI.2019.2901712. [JCR: CSIA, IF=6.685, Q1(7/109)]
2018
[1] Adrià Casamitjana, Paula Petrone, Alan Tucholka, Carles Falcon, Stavros Skouras, José Luis Molinuevo, Verónica Vilaplana, Juan Domingo Gispert, Alzheimer’s Disease Neuroimaging Initiative. MRI-based screening of preclinical Alzheimer’s disease for prevention clinical trials (2018) Journal of Alzheimer’s Disease, 64, 1099-1112. DOI: 10.3233/JAD-180299 [JCR N, IF: 3.517 Q2(99/267)].
Medical abstracts
2019
[1] Adrià Casamitjana, Paula Marcela Petrone, Carles Falcon, Miquel Artigues, Grégory Operto, Raffaele Cacciaglia, Jose Luis Molinuevo, Verónica Vilaplana, Juan Domingo Gispert. Detection of amyloid-positive cognitively unimpaired individuals using voxel-based machine learning on structural longitudinal brain MRI (2019) Alzheimer’s & Dementia: The Journal of the Alzheimer’s Association, vol 15, num.7, pp752-754. DOI: https://doi.org/10.1016/j.jalz.2019.06.2796. [JCR: CN, IF=17.127, Q1(3/204)]
2018
[1] Adrià Casamitjana, Paula Petrone, Miquel Artigues, José Luis Molinuevo, Juan Domingo Gispert, Verónica Vilaplana Besler. Characteristic brain volumetric changes in the AD preclinical signature (2018) Alzheimer’s & Dementia: The Journal of the Alzheimer’s Association, vol 14, num.7, pp1235. DOI: https://doi.org/10.1016/j.jalz.2018.06.1737. [JCR: CN, IF=14.423, Q1(4/199)]
[2] Paula Petrone, Adrià Casamitjana, Carlos Falcón, Miquel Artigues, Grégory Operto, Stavros Skouras, Raffaele Cacciaglia, José Luis Molinuevo, Verónica Vilaplana Besler, Juan Domingo Gispert, Gemma Salvadó. Projection to latent spaces disentangles specific cerebral morphometric patterns associated to aging and preclinical AD (2018) Alzheimer’s & Dementia: The Journal of the Alzheimer’s Association, vol 14, num.7, pp869-870. DOI: https://doi.org/10.1016/j.jalz.2018.06.1111. [JCR: CN, IF=14.423, Q1(4/199)]
2017
[1] Paula Marcela Petrone, Verónica Vilaplana, Adrià Casamitjana, Dalila Sánchez Escobedo, Alan Tucholka, Raffaele Cacciaglia, Gregory Operto, Stavros Skouras, Carles Falcón, José Luis Molinuevo, Juan Domingo Gispert. Magnetic Resonance Imaging and machine learning make a valuable combined tool for the screening of preclinical AD (2017) Alzheimer’s & Dementia: The Journal of the Alzheimer’s Association, vol 13, num.7, pp1245. DOI: https://doi.org/10.1016/j.jalz.2017.07.457. [JCR: CN, IF=17.127, Q1(3/204)]
Conferences
2026
[ISBI 2026] C. Lisazo, A. Casamitjana, A. Cartaya Lathulerie, A. Oliver, X.Lladó. “Enhancing brain age estimation with a transformer add-on incorporating a longitudinal consistency prior”. IEEE International Symposium on Biomedical Imaging. London, UK. April 2026.
[IABM 2026] A.Cartaya Lathulerie, A.Casamitjana, A.Oliver, X.Lladó. “Volumetric-guided brain image synthesis with diffusion models”. French Conference on Artificial Intelligence in Biomedical Imaging. Lyon, France. March 2026.
2025
[MICCAI-BRATS-2025-1] Agustin Cartaya Lathulerie, Valeriia Abramova, Micaela Rivas Díaz, Uma M. Lal-Trehan Estrada, Cansu Yalcin, Rachika E. Hamadache, Clara Lisazo, Adrià Casamitjana, Arnau Oliver & Xavier Lladó. Latent-Space Ensemble Synthesis of Missing Brain Tumor MRI Modalities for BraTS Challenge (2025) Segmentation, Classification, and Synthesis for Brain Tumors and Traumatic Brain Injuries, Dejeon (Korea). DOI: https://doi.org/10.1007/978-3-032-16370-7_3. Oral presentation.
[MICCAI-BRATS-2025-2] Valeriia Abramova, Agustin Cartaya Lathulerie, Uma M. Lal-Trehan Estrada, Cansu Yalçın, Rachika E. Hamadache, Clara Lisazo, Micaela Rivas Díaz, Adrià Casamitjana, Arnau Oliver & Xavier Lladó. [Boundary-Aware Approach for Meningioma Segmentation in Radiotherapy Planning MRI](https://link.springer.com/chapter/10.1007/978-3-032-16370-7_3 (2025) Segmentation, Classification, and Synthesis for Brain Tumors and Traumatic Brain Injuries, Dejeon (Korea). DOI: https://doi.org/10.1007/978-3-032-16370-7_3. Oral presentation.
[MICCAI-TBI 2025] R. E. Hamadache, C. Lisazo, C. Yalcin, V. Abramova, U. M. Lal-Trehan Estrada, A. C. Lathulerie, M. Rivas Díaz, A. Casamitjana, A. Oliver, and X. Lladó. “nnU-Net and Synthetic Lesions for Automated Segmentation of Moderate-to-Severe Traumatic Brain Injury”. MICCAI - Automoated Identification of Moderate-Severe Traumatic Brain Injury Lesions. Daejeon, Corea. September 2025.
[MICCAI-MBH 2025] C.Yalçin, V.Abramova, R.Hamadache, U.M.Lal-Trehan, C.Lisazo, A.Casamitjana,A.Oliver, and X.Lladó. “VICOROB team participation”. MICCAI - Multi-class Brain Hemorrhage Segmentation in Non-contrast Computed Tomography. Daejeon, Corea. September 2025.
2024
[ISBI-2024-1] Adrià Casamitjana, Arnau Oliver, Xavier Lladó. Anatomically-aware automatic quantification of DaTSCAN images (2024) IEEE International Symposium on Biomedical Imaging (ISBI), Athens (Greece). Poster presentation.
[ISBI-2024-2] Adria Casamitjana, Juan Eugenio Iglesias, Raul Tudela, Aida Ninerola-Baizan, Roser Sala-Llonch. JUMP: A joint multimodal registration pipeline for neuroimaging with minimal preprocessing (2024) IEEE International Symposium on Biomedical Imaging (ISBI), Athens (Greece). DOI: https://10.0.4.85/ISBI56570.2024.10635235. Poster presentation.
[FAIMI-2024] Vien Ngoc Dang, Adrià Casamitjana, Jerónimo Hernández-González, Karim Lekadir. Mitigating Overdiagnosis Bias in CNN-Based Alzheimer’s Disease Diagnosis for the Elderly (2024) Fairness of AI in Medical Imaging (FAIMI), Marrakesh (Morocco). DOI: https://doi.org/10.1007/978-3-031-72787-0_5. Oral presentation.
[MICCAI-TOPCOW-2024] R.Hamadache, C.Lisazo, C.Yalçin, V.Abramova, A.Casamitjana, A.Oliver, and X.Lladó. Segmentation of the Circle of Willis for CTA and MRA images. MICCAI - Topology-aware anatomical segmentation of the Circle of Willis Challenge. Marrakesh, Morocco. October 2024.
[MICCAI-BRATS-2024] V.Abramova, U.M.Lal-Trehan, C.Yalçin, R.Hamadache, C.Lisazo, A.Casamitjana, J.Salvi, A.Oliver, and X.Lladó. nnUnet for meningioma segmentation in radiotherapy planning MRI. MICCAI - BraTS challenge on meningioma segmentation. Marrakesh, Morocco. October 2024.
[MICCAI-FETA-2024] R.Hamadache, A.Bouzid, R.Montoya, M.Elbatel, A.Casamitjana, A.Oliver, R.Martí and X.Lladó. Segmentation of the FETA. MICCAI - Fetal tissue annotation and segmentation challenge. Marrakesh, Morocco. October 2024.
[MICCAI-MBH-2024] C.Yalçin, V.Abramova, R.Hamadache, U.M.Lal-Trehan, C.Lisazo, A.Casamitjana,A.Oliver, and X.Lladó. nnUnet-based semi-supervise multi-class brain hemorrhage segmentation in non-contrast CT with 3D cross pseudo supervision. MICCAI - Multi-class brain hemorrhage segmentatino in non-contrast CT. Marrakesh, Morocco. October 2024.
2023
- [FAIMI-2023] Vien Ngoc Dang, Adrià Casamitjana, Martijn PA Starmans, Carlos Martín-Isla, Jerónimo Hernández-González, Karim Lekadir. Auditing Unfair Biases in CNN-Based Diagnosis of Alzheimer’s Disease (2023) Fairness of AI in Medical Imaging (FAIMI), Vancouver (Canada). DOI: https://doi.org/10.1007/978-3-031-45249-9_17. Oral presentation.
2021
- [OHBM-2021] Ana Lawry Aguila, Adrià Casamitjana, Marco Lorenzi, Sanjay Sisodiya, Andre Altmann. Comparing classical and autoencoder multi-view methods for imaging genetics on a large-scale database (2015) Organization of Human Brain Mapping (OHBM), Glasgow (United Kingdom). Poster presentation.
2020
[SASHIMI-2021] Adrià Casamitjana, Matteo Mancini, Juan Eugenio Iglesias. Synth-by-reg (sbr): Contrastive learning for synthesis-based registration of paired images (2020) Simulation and Synthesis in Medical Imaging (SASHIMI), Strasbourg (France). DOI: https://doi.org/10.1007/978-3-030-87592-3_5. Oral presentation and best paper award (3000$)
[MICCAI-2020] Henry FJ Tregidgo, Adrià Casamitjana, Caitlin S Latimer, Mitchell D Kilgore, Eleanor Robinson, Emily Blackburn, Koen Van Leemput, Bruce Fischl, Adrian V Dalca, Christine L Mac Donald, C Dirk Keene, Juan Eugenio Iglesias. 3D reconstruction and segmentation of dissection photographs for MRI-free neuropathology (2020) Medical Image Computing and Computed-Assisted Intervention (MICCAI), Strasbourg (France). DOI: https://doi.org/10.1007/978-3-030-59722-1_20. Oral presentation.
2018
- [PRIME-2018] Adria Casamitjana, Paula Petrone, Jose Luis Molinuevo, Juan Domingo Gispert, Veronica Vilaplana. Shared Latent Structures Between Imaging Features and Biomarkers in Early Stages of Alzheimer’s Disease (2018) International Workshop on PRedictive Intelligence In MEdicine, Granada (Spain). DOI: https://doi.org/10.1007/978-3-319-75238-9_33. Oral presentation.
2017
- [BrainLes-2017] Adrià Casamitjana, Marcel Catà, Irina Sánchez, Marc Combalia, Verónica Vilaplana. Cascaded V-Net using ROI masks for brain tumor segmentation (2017) International MICCAI Brainlesion Workshop, Quebec (Canada). DOI: https://doi.org/10.1007/978-3-319-75238-9_33. Poster presentation.
2016
[ML4H-2016] Santi Puch, Asier Aduriz, Adrià Casamitjana, Veronica Vilaplana, Paula Petrone, Grégory Operto, Raffaele Cacciaglia, Stavros Skouras, Carles Falcon, José Luis Molinuevo, Juan Domingo Gispert. Voxelwise nonlinear regression toolbox for neuroimage analysis: Application to aging and neurodegenerative disease modeling (2016) ML4H Workshop in NeurIPS, Barcelona (Spain). Poster presentation.
[BrainLes-2016] Adrià Casamitjana, Santi Puch, Asier Aduriz, Verónica Vilaplana. 3D Convolutional Neural Networks for Brain Tumor Segmentation: A Comparison of Multi-resolution Architectures (2016) International Workshop on Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, Athens (Greece). DOI: https://doi.org/10.1007/978-3-319-55524-9_15. Oral presentation.
2015
- [EUSIPCO-2015] Adrià Casamitjana, Martin Sundin, Prasanta Ghosh, Saikat Chatterjee. Bayesian learning for time-varying linear prediction of speech (2015) European Signal Processing Conference, Nice (France). DOI: 10.1109/EUSIPCO.2015.7362398. Poster presentation.