Karthik Gopinath

According to our database, Karthik Gopinath authored at least 25 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Automated Segmentation of Coronal Brain Tissue Slabs for 3D Neuropathology.

Jonathan Williams Ramirez, Dina Zemlyanker, Lucas J. Deden-Binder, Rogeny Herisse, Erendira Garcia Pallares, Karthik Gopinath, Harshvardhan Gazula, Christopher Mount, Liana Kozanno, Michael S. Marshall, Theresa R. Connors, Matthew P. Frosch, Mark Montine, Derek H. Oakley, Christine L. Mac Donald, C. Dirk Keene, Bradley T. Hyman, Juan Eugenio Iglesias

CoRR, August, 2025

UNSURF: Uncertainty Quantification for Cortical Surface Reconstruction of Clinical Brain MRIs.

Raghav Mehta, Karthik Gopinath, Ben Glocker, Juan Eugenio Iglesias

CoRR, June, 2025

End-to-end Cortical Surface Reconstruction from Clinical Magnetic Resonance Images.

Jesper Duemose Nielsen, Karthik Gopinath, Andrew Hoopes, Adrian V. Dalca, Colin G. Magdamo, Steven E. Arnold, Sudeshna Das, Axel Thielscher, Juan Eugenio Iglesias, Oula Puonti

CoRR, May, 2025

From Low Field to High Value: Robust Cortical Mapping from Low-Field MRI.

Karthik Gopinath, Annabel Sorby-Adams, Jonathan Williams Ramirez, Dina Zemlyanker, Jennifer Guo, David Hunt, Christine L. Mac Donald, C. Dirk Keene, Timothy S. Coalson, Matthew F. Glasser, David C. Van Essen, Matthew S. Rosen, Oula Puonti, W. Taylor Kimberly, Juan Eugenio Iglesias

CoRR, May, 2025

"Recon-all-clinical": Cortical surface reconstruction and analysis of heterogeneous clinical brain MRI.

Karthik Gopinath, Douglas N. Greve, Colin G. Magdamo, Steven E. Arnold, Sudeshna Das, Oula Puonti, Juan Eugenio Iglesias

Medical Image Anal., 2025

Hierarchical Uncertainty Estimation for Learning-based Registration in Neuroimaging.

Xiaoling Hu, Karthik Gopinath, Peirong Liu, Malte Hoffmann, Koen Van Leemput, Oula Puonti, Juan Eugenio Iglesias

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Registration by Regression (RbR): A Framework for Interpretable and Flexible Atlas Registration.

Karthik Gopinath, Xiaoling Hu, Malte Hoffmann, Oula Puonti, Juan Eugenio Iglesias

Proceedings of the Biomedical Image Registration - 11th International Workshop, 2024

Pseudo-rendering for Resolution and Topology-Invariant Cortical Parcellation.

Pablo Blasco Fernandez, Karthik Gopinath, John Williams-Ramirez, Rogeny Herisse, Lucas J. Deden-Binder, Dina Zemlyanker, Theressa Connors, Liana Kozanno, Derek H. Oakley, Bradley T. Hyman, Sean I. Young, Juan Eugenio Iglesias

Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024

2023

Learning joint surface reconstruction and segmentation, from brain images to cortical surface parcellation.

Karthik Gopinath, Christian Desrosiers, Herve Lombaert

Medical Image Anal., December, 2023

Cortical Analysis of Heterogeneous Clinical Brain MRI Scans for Large-Scale Neuroimaging Studies.

Karthik Gopinath, Douglas N. Greve, Sudeshna Das, Steven E. Arnold, Colin G. Magdamo, Juan Eugenio Iglesias

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022

Learnable Pooling in Graph Convolutional Networks for Brain Surface Analysis.

Karthik Gopinath, Christian Desrosiers, Herve Lombaert

IEEE Trans. Pattern Anal. Mach. Intell., 2022

2021

SegRecon: Learning Joint Brain Surface Reconstruction and Segmentation from Images.

Karthik Gopinath, Christian Desrosiers, Herve Lombaert

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020

Graph Domain Adaptation for Alignment-Invariant Brain Surface Segmentation.

Karthik Gopinath, Christian Desrosiers, Herve Lombaert

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis, 2020

Spectral Graph Transformer Networks for Brain Surface Parcellation.

Ran He, Karthik Gopinath, Christian Desrosiers, Herve Lombaert

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019

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

Jose Dolz, Karthik Gopinath, Jing Yuan, Herve Lombaert, Christian Desrosiers, Ismail Ben Ayed

IEEE Trans. Medical Imaging, 2019

RETOUCH: The Retinal OCT Fluid Detection and Segmentation Benchmark and Challenge.

Hrvoje Bogunovic, Freerk G. Venhuizen, Sophie Klimscha, Stefanos Apostolopoulos, Alireza Bab-Hadiashar, Ulas Bagci, Mirza Faisal Beg, Loza Bekalo, Qiang Chen, Carlos Ciller, Karthik Gopinath, Amirali K. Gostar, Kiwan Jeon, Zexuan Ji, Sung Ho Kang, Dara D. Koozekanani, Donghuan Lu, Dustin Morley, Keshab K. Parhi, Hyoung Suk Park, Abdolreza Rashno, Marinko Sarunic, Saad Shaikh, Jayanthi Sivaswamy, Ruwan B. Tennakoon, Shivin Yadav, Sandro De Zanet, Sebastian M. Waldstein, Bianca S. Gerendas, Caroline Klaver, Clara I. Sánchez, Ursula Schmidt-Erfurth

IEEE Trans. Medical Imaging, 2019

Segmentation of Retinal Cysts From Optical Coherence Tomography Volumes Via Selective Enhancement.

Karthik Gopinath, Jayanthi Sivaswamy

IEEE J. Biomed. Health Informatics, 2019

Graph Convolutions on Spectral Embeddings for Cortical Surface Parcellation.

Karthik Gopinath, Christian Desrosiers, Herve Lombaert

Medical Image Anal., 2019

Learnable Pooling in Graph Convolution Networks for Brain Surface Analysis.

Karthik Gopinath, Christian Desrosiers, Herve Lombaert

CoRR, 2019

Adaptive Graph Convolution Pooling for Brain Surface Analysis.

Karthik Gopinath, Christian Desrosiers, Herve Lombaert

Proceedings of the Information Processing in Medical Imaging, 2019

2018

Graph Convolutions on Spectral Embeddings: Learning of Cortical Surface Data.

Karthik Gopinath, Christian Desrosiers, Herve Lombaert

CoRR, 2018

2017

A Generalized Motion Pattern and FCN based approach for retinal fluid detection and segmentation.

Shivin Yadav, Karthik Gopinath, Jayanthi Sivaswamy

CoRR, 2017

A Deep Learning Framework for Segmentation of Retinal Layers from OCT Images.

Karthik Gopinath, Samrudhdhi B. Rangrej, Jayanthi Sivaswamy

Proceedings of the 4th IAPR Asian Conference on Pattern Recognition, 2017

2016

Domain knowledge assisted cyst segmentation in OCT retinal images.

Karthik Gopinath, Jayanthi Sivaswamy

CoRR, 2016

Automatic glaucoma assessment from angio-OCT images.

Karthik Gopinath, Jayanthi Sivaswamy, Tarannum Mansoori

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016