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Kaveri A. Thakoor
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Journal Articles
- 2021
- [j2]Kaveri A. Thakoor
, Sharath C. Koorathota, Donald C. Hood, Paul Sajda
:
Robust and Interpretable Convolutional Neural Networks to Detect Glaucoma in Optical Coherence Tomography Images. IEEE Trans. Biomed. Eng. 68(8): 2456-2466 (2021) - 2016
- [j1]Kaveri A. Thakoor:
Cognitive Mechanisms Underlying the Classification of Reduced Dimensionality, Information Rich Image Representations. IEEE Intell. Syst. 31(2): 9-20 (2016)
Conference and Workshop Papers
- 2023
- [c10]Shubham Kaushal, Yifan Sun, Ryan Zukerman, Royce W. S. Chen, Kaveri A. Thakoor:
Detecting Eye Disease Using Vision Transformers Informed by Ophthalmology Resident Gaze Data. EMBC 2023: 1-4 - [c9]Ye Tian, Geoffrey Wu, Srilaxmi Bearelly, Andrew Laine, Kaveri A. Thakoor, Liat Shenhav:
DVT-Net: A Multimodal Deep Vascular Topology Network for Disease Prediction. ISBI 2023: 1-5 - [c8]Ye Tian, Mingyang Zang, Anurag Sharma, Sophie Z. Gu, Ari Leshno
, Kaveri A. Thakoor:
Glaucoma Progression Detection and Humphrey Visual Field Prediction Using Discriminative and Generative Vision Transformers. OMIA@MICCAI 2023: 62-71 - 2022
- [c7]Kaveri A. Thakoor, Ari Carter, Ge Song, Adam Wax, Omar Moussa, Royce W. S. Chen, Christine Hendon, Paul Sajda:
Enhancing Portable OCT Image Quality via GANs for AI-Based Eye Disease Detection. DeCaF/FAIR@MICCAI 2022: 155-167 - 2021
- [c6]Kaveri A. Thakoor, Darius Bordbar, Jiaang Yao
, Omar Moussa, Royce W. S. Chen, Paul Sajda:
Hybrid 3d-2d Deep Learning For Detection Of Neovascularage-Related Macular Degeneration Using Optical Coherence Tomography B-Scans And Angiography Volumes. ISBI 2021: 1600-1604 - 2020
- [c5]Sharath C. Koorathota, Kaveri A. Thakoor, Patrick Adelman, Yaoli Mao
, Xueqing Liu, Paul Sajda:
Sequence Models in Eye Tracking: Predicting Pupil Diameter During Learning. ETRA Adjunct 2020: 32:1-32:3 - 2019
- [c4]Kaveri A. Thakoor, Xinhui Li
, Emmanouil Tsamis
, Paul Sajda, Donald C. Hood:
Enhancing the Accuracy of Glaucoma Detection from OCT Probability Maps using Convolutional Neural Networks. EMBC 2019: 2036-2040 - 2015
- [c3]Kaveri A. Thakoor:
Reduced dimensionality, information rich visual representations for scene classification. SP/SPE 2015: 43-48 - 2014
- [c2]Kaveri A. Thakoor, Nii Mante, Carey Zhang, Christian Siagian, James D. Weiland
, Laurent Itti, Gérard G. Medioni:
A System for Assisting the Visually Impaired in Localization and Grasp of Desired Objects. ECCV Workshops (3) 2014: 643-657 - 2013
- [c1]Kaveri A. Thakoor, Sophie Marat, Patrick J. Nasiatka, Ben P. McIntosh, Furkan E. Sahin
, Armand R. Tanguay, James D. Weiland
, Laurent Itti:
Attention biased speeded up robust featureS (AB-SURF): A neurally-inspired object recognition algorithm for a wearable aid for the visually-impaired. ICME Workshops 2013: 1-6
Data and Artifacts
- 2022
- [d1]Kaveri A. Thakoor, Sharath C. Koorathota, Donald C. Hood, Paul Sajda:
Robust and Interpretable Convolutional Neural Networks to Detect Glaucoma in Optical Coherence Tomography Images. IEEE DataPort, 2022
Informal and Other Publications
- 2018
- [i1]Iddo Drori, Isht Dwivedi, Pranav Shrestha, Jeffrey Wan, Yueqi Wang, Yunchu He, Anthony Mazza, Hugh Krogh-Freeman, Dimitri Leggas, Kendal Sandridge, Linyong Nan, Kaveri A. Thakoor, Chinmay Joshi, Sonam Goenka, Chen Keasar, Itsik Pe'er:
High Quality Prediction of Protein Q8 Secondary Structure by Diverse Neural Network Architectures. CoRR abs/1811.07143 (2018)
Coauthor Index
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