Homepage - Biography


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

  • 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.