Cohen-Adad, Julien

1. Deep Semantic Segmentation of Natural and Medical Images: A Review
   2019/10/16 by Taghanaki, Saeid Asgari, Abhishek, Kumar, Cohen, Joseph Paul +2 · 21 citations
   #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #electronic engineering #information engineering
2. Unsupervised domain adaptation for medical imaging segmentation with self-ensembling
   2018/11/14 by Christian S. Perone, Pedro J. Ballester, Perone, Christian S. +7 · 11 citations
   Computer Science · Medicine · #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Radiomics and Machine Learning in Medical Imaging #cs.CV
3. Medical Image Segmentation on MRI Images with Missing Modalities: A Review
   2022/03/11 by Reza Azad, Azad, Reza, Nika Khosravi +7 · 4 citations
   Computer Science · Engineering · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #cs.CV #eess.IV #electronic engineering #information engineering
4. SoftSeg: Advantages of soft versus binary training for image segmentation
   2020/11/17 by Charley Gros, Gros, Charley, Andréanne Lemay +5 · 2 citations
   Biochemistry, Genetics and Molecular Biology · Computer Science · Engineering · Medicine · Neuroscience · #Brain Tumor Detection and Classification #MicroRNA in disease regulation #Radiomics and Machine Learning in Medical Imaging #cs.CV #eess.IV
5. Enhancing Medical Image Segmentation with TransCeption: A Multi-Scale Feature Fusion Approach
   2023/01/25 by Reza Azad, Azad, Reza, Yiwei Jia +7 · 2 citations
   Computer Science · Medicine · #AI in cancer detection #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Radiomics and Machine Learning in Medical Imaging
6. Biomedical image analysis competitions: The state of current participation practice
   2022/12/16 by Matthias Eisenmann, Annika Reinke, Eisenmann, Matthias +452 · 2 citations
   Engineering · Medicine · #Artificial Intelligence in Healthcare and Education #Biomedical and Engineering Education #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Radiomics and Machine Learning in Medical Imaging
7. Deep Active Learning for Axon-Myelin Segmentation on Histology Data
   2019/07/11 by Melanie Lubrano di Scandalea, Christian S. Perone, di Scandalea, Melanie Lubrano +6 · 2 citations
   Biochemistry, Genetics and Molecular Biology · Computer Science · #Cell Image Analysis Techniques #Domain Adaptation and Few-Shot Learning #Molecular Biology Techniques and Applications #cs.CV #cs.LG
8. Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networks
   2018/05/16 by Charley Gros, Gros, Charley, Benjamin De Leener +109 · 1 citation
   Computer Science · Engineering · Medicine · Neuroscience · #Bone and Joint Diseases #Brain Tumor Detection and Classification #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Medical Imaging and Analysis #cs.CV
9. Segmentation of Multiple Sclerosis Lesions across Hospitals: Learn Continually or Train from Scratch?
   2022/10/27 by Enamundram Naga Karthik, Anne Kerbrat, Karthik, Enamundram Naga +19 · 1 citation
   Computer Science · Engineering · Medicine · Psychology · #AI in cancer detection #Artificial intelligence #Code (set theory) #Computer Vision and Pattern Recognition (cs.CV) #Computer science #Context (archaeology) #Domain (mathematical analysis) #FOS: Computer and information sciences #Forgetting #Image Processing Techniques and Applications #Machine Learning (cs.LG) #Machine learning #Multiple Sclerosis Research Studies #Psychology #Scratch #Segmentation #Transfer of learning
10. Considerations and Recommendations from the ISMRM Diffusion Study Group for preclinical diffusion MRI: Part 1 -- In vivo small-animal imaging
    2022/09/26 by Ileana Jelescu, Francesco Grussu, Jelescu, Ileana O +111 · 1 citation
    Medicine · #Advanced Neuroimaging Techniques and Applications #Bone and Joint Diseases #FOS: Biological sciences #FOS: Physical sciences #MRI in cancer diagnosis #Medical Physics (physics.med-ph) #Tissues and Organs (q-bio.TO)