no code implementations • 25 Apr 2024 • Karthik Gopinath, Xiaoling Hu, Malte Hoffmann, Oula Puonti, Juan Eugenio Iglesias
In human neuroimaging studies, atlas registration enables mapping MRI scans to a common coordinate frame, which is necessary to aggregate data from multiple subjects.
no code implementations • 2 May 2023 • Karthik Gopinath, Douglas N. Greve, Sudeshna Das, Steve Arnold, Colin Magdamo, Juan Eugenio Iglesias
Here we present the first method for cortical reconstruction, registration, parcellation, and thickness estimation for clinical brain MRI scans of any resolution and pulse sequence.
no code implementations • 31 Mar 2020 • Karthik Gopinath, Christian Desrosiers, Herve Lombaert
The varying cortical geometry of the brain creates numerous challenges for its analysis.
no code implementations • 22 Nov 2019 • Karthik Gopinath, Christian Desrosiers, Herve Lombaert
This paper proposes a new learnable graph pooling method for processing multiple surface-valued data to output subject-based information.
no code implementations • 22 Nov 2019 • Ran He, Karthik Gopinath, Christian Desrosiers, Herve Lombaert
Our alignment and graph processing method provides a fast analysis of brain surfaces.
no code implementations • 22 Jun 2018 • Karthik Gopinath, Samrudhdhi B Rangrej, Jayanthi Sivaswamy
Segmentation of retinal layers from Optical Coherence Tomography (OCT) volumes is a fundamental problem for any computer aided diagnostic algorithm development.
3 code implementations • 9 Apr 2018 • Jose Dolz, Karthik Gopinath, Jing Yuan, Herve Lombaert, Christian Desrosiers, Ismail Ben Ayed
Therefore, the proposed network has total freedom to learn more complex combinations between the modalities, within and in-between all the levels of abstraction, which increases significantly the learning representation.
Ranked #1 on Medical Image Segmentation on iSEG 2017 Challenge
no code implementations • 27 Mar 2018 • Karthik Gopinath, Christian Desrosiers, Herve Lombaert
This paper presents a novel approach for learning and exploiting surface data directly across surface domains.
no code implementations • 4 Dec 2017 • Shivin Yadav, Karthik Gopinath, Jayanthi Sivaswamy
SD-OCT is a non-invasive cross-sectional imaging modality used for diagnosis of macular defects.
no code implementations • 21 Aug 2017 • Karthik Gopinath, Jayanthi Sivaswamy
The robustness of the algorithm was examined by cross-validation on the DME and AEI (private) datasets and a mean DC values obtained were 0. 69 and 0. 79, respectively.
no code implementations • 8 Dec 2016 • Karthik Gopinath, Jayanthi Sivaswamy
OCT is one such modality which has great importance in the context of analysis of cystoid structures in subretinal layers.