| Biomedical image analysis competitions: The state of current participation practice M Eisenmann, A Reinke, V Weru, MD Tizabi, F Isensee, TJ Adler, ... arXiv preprint arXiv:2212.08568, 2022 | 33 | 2022 |
| Automatic tongue surface extraction from three-dimensional ultrasound vocal tract images E Naga Karthik, E Karimi, SM Lulich, C Laporte The Journal of the Acoustical Society of America 147 (3), 1623-1633, 2020 | 14 | 2020 |
| Label fusion and training methods for reliable representation of inter-rater uncertainty A Lemay, C Gros, EN Karthik, J Cohen-Adad Machine Learning for Biomedical Imaging 1 (January 2023 issue), 1--27, 2023 | 13 | 2023 |
| Towards contrast-agnostic soft segmentation of the spinal cord S Bédard*, EN Karthik*, C Tsagkas, E Pravatà, C Granziera, A Smith, ... arXiv preprint arXiv:2310.15402, 2023 | 8 | 2023 |
| SCIseg: Automatic Segmentation of Intramedullary Lesions in Spinal Cord Injury on T2-weighted MRI Scans E Naga Karthik*, J Valošek*, AC Smith, D Pfyffer, ... Radiology: Artificial Intelligence, e240005, 2024 | 4* | 2024 |
| Uncertainty estimation in unsupervised MR-CT synthesis of scoliotic spines EN Karthik, F Cheriet, C Laporte IEEE Open Journal of Engineering in Medicine and Biology, 2023 | 4 | 2023 |
| Three-dimensional segmentation of the scoliotic spine from MRI using unsupervised volume-based MR-CT synthesis EMVN Karthik, C Laporte, F Cheriet Medical Imaging 2021: Image Processing 11596, 402-409, 2021 | 4 | 2021 |
| Team neuropoly: description of the pipelines for the MICCAI 2021 MS new lesions segmentation challenge U Macar, EN Karthik, C Gros, A Lemay, J Cohen-Adad arXiv preprint arXiv:2109.05409, 2021 | 2 | 2021 |
| Segmentation of Multiple Sclerosis Lesions across Hospitals: Learn Continually or Train from Scratch? EN Karthik, A Kerbrat, P Labauge, T Granberg, J Talbott, DS Reich, ... arXiv preprint arXiv:2210.15091, 2022 | 1 | 2022 |
| Automatic tongue surface extraction from 3D ultrasound using 3D SLURP SM Lulich, EMVN Karthik, C Laporte UltraFest IX, 2020 | 1 | 2020 |
| Automatic segmentation of spinal cord lesions in MS: A robust tool for axial T2-weighted MRI scans E Naga Karthik, J McGinnis, R Wurm, S Ruehling, R Graf, J Valosek, ... medRxiv, 2025.01. 22.25320959, 2025 | | 2025 |
| Canadian Spine Society: 24th Annual Scientific Conference, Wednesday, February 28–Saturday, March 2, Fairmont Chateau Whistler, Whistler, BC, Canada. A Dionne, M Al-Zakri, H Labelle, J Joncas, S Parent, JM Mac-Thiong, ... Canadian Journal of Surgery 67, 2024 | | 2024 |
| SCIsegV2: A Universal Tool for Segmentation of Intramedullary Lesions in Spinal Cord Injury EN Karthik*, J Valošek*, L Farner, D Pfyffer, S Schading-Sassenhausen, ... arXiv preprint arXiv:2407.17265, 2024 | | 2024 |
| Contrast-agnostic Spinal Cord Segmentation: A Comparative Study of ConvNets and Vision Transformers EN Karthik, S Bedard, J Valosek, S Chandar, J Cohen-Adad Medical Imaging with Deep Learning 2024 (Short-paper Track), 2024 | | 2024 |
| Towards generalizable spinal cord lesion segmentation in multiple sclerosis J McGinnis, EN Karthik, S Rühling, R Wurm, K Stern, S Bedard, T Wiltgen, ... Multiple Sclerosis Journal 29 (3S), 2023 | | 2023 |
| Extraction of the Features of Fingerprints Using Conventional Methods and Convolutional Neural Networks K EMV Naga, G Madan Machine Learning Algorithms and Applications, 211-227, 2021 | | 2021 |
| Automatic segmentation of T2-weighted hyperintense lesions in spinal cord injury J Valosek, NK Enamundram, M Bouthillier, S Schading-Sassenhausen, ... ISMRM 2024, 0 | | |
| Automatic spinal cord segmentation: Generalization across MR parameters, sites, vendors and pathologies S Bedard, NK Enamundram, M Kaptan, F Eippert, N Kinany, I Ricchi, ... ISMRM 2024, 0 | | |
Catherine LaporteÉcole de technologie supérieure, LATIS, Sainte-Justine Hospital Research Centre, REPARTIVerified email at etsmtl.ca