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D-Index & Metrics

Computer Science

D-Index
36
Citations
6742
World Ranking
11120
National Ranking
440

Overview

Christian Desrosiers is affiliated with the École de Technologie Supérieure in Canada. Their research primarily spans the fields of Computer Science and Medicine, with a focus on several subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, and Neurology.

Their scholarly work covers main topics such as Advanced Neural Network Applications, Domain Adaptation and Few-Shot Learning, Medical Image Segmentation Techniques, AI in cancer detection, Advanced Neuroimaging Techniques and Applications, Radiomics and Machine Learning in Medical Imaging, and general Medical Imaging and Analysis.

Desrosiers has published extensively in various venues. Frequent publication outlets include:

  • arXiv (Cornell University)
  • Medical Image Analysis
  • IEEE Transactions on Medical Imaging
  • Pattern Recognition
  • IEEE Access

Among recent papers authored or co-authored by Desrosiers are:

  • Boundary loss for highly unbalanced segmentation, 2020, Medical Image Analysis
  • Machine Learning for the Diagnosis of Parkinson's Disease: A Review of Literature, 2021, Frontiers in Aging Neuroscience
  • Deep co-training for semi-supervised image segmentation, 2020, Pattern Recognition
  • Federated Learning for Healthcare Applications, 2023, IEEE Internet of Things Journal
  • Self-paced and self-consistent co-training for semi-supervised image segmentation, 2021, Medical Image Analysis

Collaborative work is an important aspect of Desrosiers' career. Frequent co-authors include:

  • Ismail Ben Ayed
  • José Dolz
  • Hervé Lombaert
  • Ahmad Chaddad
  • David Osowiechi

Best Publications

  • A Comprehensive Survey of Neighborhood-based Recommendation Methods

    Christian Desrosiers;George Karypis

  • Boundary loss for highly unbalanced segmentation.

    Hoel Kervadec;Jihene Bouchtiba;Christian Desrosiers;Eric Granger

  • HyperDense-Net: A Hyper-Densely Connected CNN for Multi-Modal Image Segmentation

    Jose Dolz;Karthik Gopinath;Jing Yuan;Herve Lombaert

  • A Comprehensive Survey of Neighborhood-based Recommendation Methods

    Unknown

  • 3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study.

    Jose Dolz;Christian Desrosiers;Ismail Ben Ayed

  • Machine Learning for the Diagnosis of Parkinson's Disease: A Review of Literature.

    Jie Mei;Christian Desrosiers;Johannes Frasnelli

  • Deep co-training for semi-supervised image segmentation

    Jizong Peng;Guillermo Estrada;Marco Pedersoli;Christian Desrosiers

  • Benchmark on Automatic Six-Month-Old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge

    Li Wang;Dong Nie;Guannan Li;Elodie Puybareau

  • Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning.

    Arnab Kumar Mondal;Jose Dolz;Christian Desrosiers

  • Deep CNN ensembles and suggestive annotations for infant brain MRI segmentation

    Jose Dolz;Christian Desrosiers;Li Wang;Jing Yuan

  • Hippocampus and amygdala radiomic biomarkers for the study of autism spectrum disorder

    Ahmad Chaddad;Ahmad Chaddad;Christian Desrosiers;Lama Hassan;Camel Tanougast

  • Dense Multi-path U-Net for Ischemic Stroke Lesion Segmentation in Multiple Image Modalities

    Jose Dolz;Ismail Ben Ayed;Christian Desrosiers

  • Comparing fully automated state-of-the-art cerebellum parcellation from magnetic resonance images

    Aaron Carass;Jennifer L. Cuzzocreo;Shuo Han;Carlos R. Hernandez-Castillo

  • Esophagus segmentation in CT via 3D fully convolutional neural network and random walk

    Tobias Fechter;Sonja Adebahr;Dimos Baltas;Ismail Ben Ayed

  • IVD-Net: Intervertebral Disc Localization and Segmentation in MRI with a Multi-modal UNet

    Jose Dolz;Christian Desrosiers;Ismail Ben Ayed

  • Federated Learning for Healthcare Applications

    Unknown

  • Deep Radiomic Analysis of MRI Related to Alzheimer’s Disease

    Ahmad Chaddad;Christian Desrosiers;Tamim Niazi

  • Multiregion segmentation of bladder cancer structures in MRI with progressive dilated convolutional networks

    Jose Dolz;Xiaopan Xu;Jérôme Rony;Jing Yuan

  • Novel Radiomic Features Based on Joint Intensity Matrices for Predicting Glioblastoma Patient Survival Time

    Ahmad Chaddad;Paul Daniel;Christian Desrosiers;Matthew Toews

  • Multi-scale radiomic analysis of sub-cortical regions in MRI related to autism, gender and age

    Ahmad Chaddad;Christian Desrosiers;Matthew Toews

  • Classifications of Multispectral Colorectal Cancer Tissues Using Convolution Neural Network.

    Hawraa Haj-Hassan;Ahmad Chaddad;Youssef Harkouss;Christian Desrosiers

  • Graph Convolutions on Spectral Embeddings for Cortical Surface Parcellation.

    Karthik Gopinath;Christian Desrosiers;Herve Lombaert

  • High-quality Image Restoration Using Low-Rank Patch Regularization and Global Structure Sparsity

    Mingli Zhang;Christian Desrosiers

  • Self-paced and self-consistent co-training for semi-supervised image segmentation

    Ping Wang;Jizong Peng;Marco Pedersoli;Yuanfeng Zhou

  • Multi-region segmentation of bladder cancer structures in MRI with progressive dilated convolutional networks

    Jose Dolz;Xiaopan Xu;Jerome Rony;Jing Yuan

Frequent Co-Authors

Ismail Ben Ayed
Ismail Ben Ayed École de Technologie Supérieure
Mohamed Cheriet
Mohamed Cheriet École de Technologie Supérieure
Alain Hertz
Alain Hertz Polytechnique Montréal
Eric Granger
Eric Granger École de Technologie Supérieure
Pierre-Marc Jodoin
Pierre-Marc Jodoin Université de Sherbrooke
Kaleem Siddiqi
Kaleem Siddiqi McGill University
Dinggang Shen
Dinggang Shen ShanghaiTech University
Pierre Hansen
Pierre Hansen HEC Montréal
George Karypis
George Karypis University of Minnesota
Johannes Frasnelli
Johannes Frasnelli Université du Québec à Trois-Rivières

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