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Curriculum vitae: https://acasamitjana.github.io/personal-webpage-jekyll/files/cv.pdf
Google Scholar: https://scholar.google.es/citations?user=phHLLH0AAAAJ
Twitter account: https://twitter.com/therelaxationt1

Recent News


  • September, 2022. New manuscript online! Our paper “High-resolution atlasing and segmentation of the subcortex: review and perspective on challenges and opportunities created by machine learning” has been accepted in Neuroimage (Special Issue: Terra incognita: diving into the human subcortex). We review the literature on subcortical atlases and segmentation methods and discuss challenges and opportunities of using machine learning for in vivo segmentation of MRI. Hope you enjoy! Link: https://www.sciencedirect.com/science/article/pii/S1053811922007315
  • March, 2022. Moved from Center of Medical Image Computing (UCL) to Universitat de Barcelona thanks to the “Margartia Salas fellowship”. Joint collaboration between Barcelona Artificial Intelligence in Medicine group (BCN-AIM) and Biomedical Imaging Group (BIG), where we will use image-synthesis to expand longitudinal and multi-modal datasets.
  • October, 2021. Our paper “Robust joint registration of multiple stains and MRI for multimodal 3D histology reconstruction: Application to the Allen human brain atlas” has been accepted in Medical Image Analysis.
    • Paper: https://arxiv.org/pdf/2104.14873.pdf
    • Code: https://github.com/acasamitjana/3dhirest
    • Data: https://openneuro.org/datasets/ds003590
    • Twitter: https://twitter.com/therelaxationt1/status/1453615376365928449
  • October, 2021. Best paper award in SASHIMI, a MICCAI satellite event for our paper “Synth-by-Reg (SbR): Contrastive learning for synthesis-based registration of paired images”. Paper: https://arxiv.org/pdf/2107.14449.pdf
  • November, 2020. Checkout DeepReg, an open-source learning-based registration framework in tensorflow. Well documented, wildly tested and with demos to get started. Honoured to be part of the core team.
    • Code in: https://github.com/DeepRegNet/DeepReg
  • October, 2020. MICCAI Conference: coauthor of “3D Reconstruction and Segmentation of Dissection Photographs for MRI-Free Neuropathology” (Tredgigo, et al.) https://arxiv.org/abs/2103.13578
  • June 30, 2020. Paper accepted in Scientific Reports: “A multimodal computational pipeline for 3D histology of the human brain” (Mancini et al.)
  • June 2, 2020. Paper accepted in Frontiers in Neurology: “Projection to Latent Spaces disentangles pathological effects on brain morphology in the asymptomatic phase of Alzheimer’s disease”. (Casamitjana et al.)
  • February, 2020. Paper accepted in Neuroinformatics: “NeAT: a nonlinear analysis toolbox for neuroimaging” (Casamitjana et al.). The code is publicly available through this webpage: https://imatge-upc.github.io/neat-tool/
  • July 28, 2019. Paper accepted in IEEE Journal of Biomedical and Helath Informatics (J-BHI): “Shared latent structures between imaging features and biomarkers in early stages of Alzheimer’s disease: a predictive study” (Casamitjana et al.)
  • July 23, 2019. Paper accepted in Alzheimer’s Research and Therapy: “Prediction of amyloid pathology in cognitively unimpaired individuals using voxelwise analysis of longitudinal structural brain MRI” (Petrone*, Casamitjana* et al.).
  • February 1, 2019. Visiting researcher at CMIC (UCL) under the supervision of Dr. Andre Altman.