| HyperDense-Net: A hyper-densely connected CNN for multi-modal image segmentation J Dolz, K Gopinath, J Yuan, H Lombaert, C Desrosiers, IB Ayed IEEE transactions on medical imaging 38 (5), 1116-1126, 2018 | 495 | 2018 |
| RETOUCH: The Retinal OCT Fluid Detection and Segmentation Benchmark and Challenge H Bogunović, F Venhuizen, S Klimscha, S Apostolopoulos, ... IEEE transactions on medical imaging 38 (8), 1858-1874, 2019 | 201 | 2019 |
| Graph convolutions on spectral embeddings for cortical surface parcellation K Gopinath, C Desrosiers, H Lombaert Medical image analysis 54, 297-305, 2019 | 60 | 2019 |
| Segmentation of retinal cysts from Optical Coherence Tomography volumes via selective enhancement K Gopinath, J Sivaswamy IEEE Journal of Biomedical and Health Informatics, 2018 | 55 | 2018 |
| A deep learning framework for segmentation of retinal layers from OCT images K Gopinath, SB Rangrej, J Sivaswamy ACPR 2017, 2017 | 39 | 2017 |
| Automatic glaucoma assessment from angio-OCT images K Gopinath, J Sivaswamy, T Mansoori 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 193-196, 2016 | 28* | 2016 |
| Learnable Pooling in Graph Convolution Networks for Brain Surface Analysis K Gopinath, C Desrosiers, H Lombaert IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020 | 25 | 2020 |
| Adaptive graph convolution pooling for brain surface analysis K Gopinath, C Desrosiers, H Lombaert Information Processing in Medical Imaging: 26th International Conference …, 2019 | 21 | 2019 |
| SegRecon: Learning Joint Brain Surface Reconstruction and Segmentation from Images K Gopinath, C Desrosiers, H Lombaert Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 15 | 2021 |
| Spectral Graph Transformer Networks for Brain Surface Parcellation R He, K Gopinath, C Desrosiers, H Lombaert 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 372-376, 2020 | 14 | 2020 |
| A Generalized Motion Pattern and FCN based approach for retinal fluid detection and segmentation S Yadav, K Gopinath, J Sivaswamy arXiv preprint arXiv:1712.01073, 2017 | 14 | 2017 |
| Benchmarking geometric deep learning for cortical segmentation and neurodevelopmental phenotype prediction A Fawaz, LZJ Williams, A Alansary, C Bass, K Gopinath, M da Silva, ... bioRxiv, 2021.12. 01.470730, 2021 | 13 | 2021 |
| Domain knowledge assisted cyst segmentation in OCT retinal images K Gopinath, J Sivaswamy arXiv preprint arXiv:1612.02675, 2016 | 13 | 2016 |
| Graph domain adaptation for alignment-invariant brain surface segmentation K Gopinath, C Desrosiers, H Lombaert Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and …, 2020 | 11 | 2020 |
| Brain tumor segmentation using topological loss in convolutional networks C Reddy, K Gopinath, H Lombaert International Conference on Medical Imaging with Deep Learning--Extended …, 2019 | 11 | 2019 |
| Registration by Regression (RbR): a framework for interpretable and flexible atlas registration K Gopinath, X Hu, M Hoffmann, O Puonti, JE Iglesias arXiv preprint arXiv:2404.16781, 2024 | 1 | 2024 |
| Learning joint surface reconstruction and segmentation, from brain images to cortical surface parcellation K Gopinath, C Desrosiers, H Lombaert Medical Image Analysis 90, 102974, 2023 | | 2023 |
| Cortical analysis of heterogeneous clinical brain MRI scans for large-scale neuroimaging studies K Gopinath, DN Greve, S Das, S Arnold, C Magdamo, JE Iglesias International Conference on Medical Image Computing and Computer-Assisted …, 2023 | | 2023 |
| Geometrical learning of brain surface data K Gopinath École de technologie supérieure, 2021 | | 2021 |
| Cortical Parcellation via Spectral Graph Convolutions K Gopinath, C Desrosiers, H Lombaert | | 2019 |
Herve LombaertProfessor, Canada Research Chair在 polymtl.ca 的电子邮件经过验证
