Adrià Casamitjana

Orcid: 0000-0002-0539-3638

According to our database1, Adrià Casamitjana authored at least 19 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
JUMP: A joint multimodal registration pipeline for neuroimaging with minimal preprocessing.
CoRR, 2024

2023
USLR: an open-source tool for unbiased and smooth longitudinal registration of brain MR.
CoRR, 2023

Auditing Unfair Biases in CNN-Based Diagnosis of Alzheimer's Disease.
Proceedings of the Clinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging, 2023

2022
High-resolution atlasing and segmentation of the subcortex: Review and perspective on challenges and opportunities created by machine learning.
NeuroImage, 2022

Robust joint registration of multiple stains and MRI for multimodal 3D histology reconstruction: Application to the Allen human brain atlas.
Medical Image Anal., 2022

2021
Synth-by-Reg (SbR): Contrastive Learning for Synthesis-Based Registration of Paired Images.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2021

2020
Shared Latent Structures Between Imaging Features and Biomarkers in Early Stages of Alzheimer's Disease: A Predictive Study.
IEEE J. Biomed. Health Informatics, 2020

NeAT: a Nonlinear Analysis Toolbox for Neuroimaging.
Neuroinformatics, 2020

DeepReg: a deep learning toolkit for medical image registration.
J. Open Source Softw., 2020

Introduction to Medical Image Registration with DeepReg, Between Old and New.
CoRR, 2020

3D Reconstruction and Segmentation of Dissection Photographs for MRI-Free Neuropathology.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019
Study of early stages of Alzheimer's disease using magnetic resonance imaging.
PhD thesis, 2019

Benchmark on Automatic Six-Month-Old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge.
IEEE Trans. Medical Imaging, 2019

Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge.
IEEE Trans. Medical Imaging, 2019

2018
Shared Latent Structures Between Imaging Features and Biomarkers in Early Stages of Alzheimer's Disease.
Proceedings of the PRedictive Intelligence in MEdicine - First International Workshop, 2018

2017
Cascaded V-Net Using ROI Masks for Brain Tumor Segmentation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2017

2016
Voxelwise nonlinear regression toolbox for neuroimage analysis: Application to aging and neurodegenerative disease modeling.
CoRR, 2016

3D Convolutional Neural Networks for Brain Tumor Segmentation: A Comparison of Multi-resolution Architectures.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2016

2015
Bayesian learning for time-varying linear prediction of speech.
Proceedings of the 23rd European Signal Processing Conference, 2015


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