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Spyridon Bakas

Showing results (11-20 of 135) with videos related to

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Frontiers in Medicine|April 4, 2022
Clinically Deployed Computational Assessment of Multiple Sclerosis LesionsSiddhesh P Thakur, Matthew K Schindler, Michel Bilello, et al.
Brainlesion : Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. Brainles (Workshop)|June 25, 2019
Multi-Institutional Deep Learning Modeling Without Sharing Patient Data: A Feasibility Study on Brain Tumor SegmentationMicah J Sheller, G Anthony Reina, Brandon Edwards, et al.
Frontiers in Neuroscience|March 3, 2020
Systematic Evaluation of Image Tiling Adverse Effects on Deep Learning Semantic SegmentationG Anthony Reina, Ravi Panchumarthy, Siddhesh Pravin Thakur, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|March 6, 2025
Enhancing Whole Slide Image Classification with Discriminative and Contrastive LearningPeixian Liang, Hao Zheng, Hongming Li, et al.
Cancers|July 29, 2023
Within-Modality Synthesis and Novel Radiomic Evaluation of Brain MRI ScansSeyed Masoud Rezaeijo, Nahid Chegeni, Fariborz Baghaei Naeini, et al.
Neuro-Oncology|September 1, 2025
AI-driven WHO 2021 classification of gliomas based only on H&E-stained slidesShubham Innani, W Robert Bell, MacLean P Nasrallah, et al.
Journal of Imaging Informatics in Medicine|June 25, 2025
An Unsupervised Brain Extraction Quality Control Approach for Efficient Neuro-Oncology StudiesSarthak Pati, Stefan Wagner, Siddhesh Thakur, et al.
Machine Learning in Medical Imaging. MLMI (Workshop)|July 20, 2021
O-Net: An Overall Convolutional Network for Segmentation TasksOmid Haji Maghsoudi, Aimilia Gastounioti, Lauren Pantalone, et al.
Applied Sciences (Basel, Switzerland)|July 22, 2021
Accurate and Robust Alignment of Differently Stained Histologic Images Based on Greedy Diffeomorphic RegistrationLudovic Venet, Sarthak Pati, Michael D Feldman, et al.
Patterns (New York, N.Y.)|July 31, 2024
Federated learning as a catalyst for digital healthcare innovationsGuang Yang, Brandon Edwards, Spyridon Bakas, et al.
Pageof 14

Showing results (11-20 of 135) with videos related to

Sort By:
Pageof 14
Frontiers in Medicine|April 4, 2022
Clinically Deployed Computational Assessment of Multiple Sclerosis LesionsSiddhesh P Thakur, Matthew K Schindler, Michel Bilello, et al.
Brainlesion : Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. Brainles (Workshop)|June 25, 2019
Multi-Institutional Deep Learning Modeling Without Sharing Patient Data: A Feasibility Study on Brain Tumor SegmentationMicah J Sheller, G Anthony Reina, Brandon Edwards, et al.
Frontiers in Neuroscience|March 3, 2020
Systematic Evaluation of Image Tiling Adverse Effects on Deep Learning Semantic SegmentationG Anthony Reina, Ravi Panchumarthy, Siddhesh Pravin Thakur, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|March 6, 2025
Enhancing Whole Slide Image Classification with Discriminative and Contrastive LearningPeixian Liang, Hao Zheng, Hongming Li, et al.
Cancers|July 29, 2023
Within-Modality Synthesis and Novel Radiomic Evaluation of Brain MRI ScansSeyed Masoud Rezaeijo, Nahid Chegeni, Fariborz Baghaei Naeini, et al.
Neuro-Oncology|September 1, 2025
AI-driven WHO 2021 classification of gliomas based only on H&E-stained slidesShubham Innani, W Robert Bell, MacLean P Nasrallah, et al.
Journal of Imaging Informatics in Medicine|June 25, 2025
An Unsupervised Brain Extraction Quality Control Approach for Efficient Neuro-Oncology StudiesSarthak Pati, Stefan Wagner, Siddhesh Thakur, et al.
Machine Learning in Medical Imaging. MLMI (Workshop)|July 20, 2021
O-Net: An Overall Convolutional Network for Segmentation TasksOmid Haji Maghsoudi, Aimilia Gastounioti, Lauren Pantalone, et al.
Applied Sciences (Basel, Switzerland)|July 22, 2021
Accurate and Robust Alignment of Differently Stained Histologic Images Based on Greedy Diffeomorphic RegistrationLudovic Venet, Sarthak Pati, Michael D Feldman, et al.
Patterns (New York, N.Y.)|July 31, 2024
Federated learning as a catalyst for digital healthcare innovationsGuang Yang, Brandon Edwards, Spyridon Bakas, et al.
Pageof 14