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ORCIDKaveri A. Thakoor
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2020 – today
- 2025
[j3]Jianxun Lou
, Huasheng Wang, Xinbo Wu, John Cho Hui Ng, Richard D. White, Kaveri A. Thakoor, Padraig Corcoran, Ying Chen, Hantao Liu:
Chest X-Ray Visual Saliency Modeling: Eye-Tracking Dataset and Saliency Prediction Model. IEEE Trans. Neural Networks Learn. Syst. 36(9): 16920-16930 (2025)- [c15]Ziheng Li, Haowen Wei, Kuang Sun, Leyi Cui, David Li, Steven Feiner, Kaveri A. Thakoor:
Interactively Assisting Glaucoma Diagnosis with an Expert Knowledge-Distilled Vision Transformer. CHI Extended Abstracts 2025: 349:1-349:8 - [c14]Benjamin Freeman, Kuang Sun, Roshan Kenia, Anfei Li, Steven K. Feiner, Kaveri A. Thakoor:
AR Visualization of Cross-Attention-Enhanced Biomedical Image Volumes for AI-assisted Disease Diagnosis. ISMAR-Adjunct 2025: 971-972 - [i3]Roshan Kenia, Anfei Li, Rishabh Srivastava, Kaveri A. Thakoor:
AI-CNet3D: An Anatomically-Informed Cross-Attention Network with Multi-Task Consistency Fine-tuning for 3D Glaucoma Classification. CoRR abs/2510.00882 (2025) - [i2]Emily Alsentzer, Marie-Laure Charpignon, Bill Chen, Niharika D'Souza, Jason A. Fries, Yixing Jiang, Aparajita Kashyap, Chanwoo Kim, Simon A. Lee, Aishwarya Mandyam, Ashery Christopher Mbilinyi, Nikita Mehandru, Nitish Nagesh, Brighton Nuwagira, Emma Pierson, Arvind Pillai, Akane Sano, Tanveer F. Syeda-Mahmood, Shashank Yadav, Elias Adhanom, Muhammad Umar Afza, Amelia Archer, Suhana Bedi, Vasiliki Bikia, Trenton Chang, George H. Chen, Winston Chen, Erica Chiang, Edward Choi, Octavia Ciora, Paz Dozie-Nnamah, Shaza Elsharief, Matthew Engelhard, Ali Eshragh, Jean Feng, Josh Fessel, Scott L. Fleming, Kei Sen Fong, Thomas Frost, Soham Gadgil, Judy Gichoya, Leeor Hershkovich, Sujeong Im, Bhavya Jain, Vincent Jeanselme, Furong Jia, Qixuan Jin, Yuxuan Jin, Daniel Kapash, Geetika Kapoor, Behdokht Kiafar, Matthias Kleiner, Stefan Kraft, Annika Kumar, Daeun Kyung, Zhongyuan Liang, Joanna Lin, Qianchu Liu, Chang Liu, Hongzhou Luan, Chris Lunt, Leopoldo Julian Lechuga López, Matthew B. A. McDermott, Shahriar Noroozizadeh, Connor O'Brien, YongKyung Oh, Mixail Ota, Stephen Pfohl, Meagan Pi, Tanmoy Sarkar Pias, Emma Rocheteau, Avishaan Sethi, Toru Shirakawa, Anita Silver, Neha Simha, Kamile Stankeviciute, Max Sunog, Peter Szolovits, Shengpu Tang, Jialu Tang, Aaron Tierney, John Valdovinos, Byron Wallace, Will Ke Wang, Peter Washington, Jeremy C. Weiss, Daniel Wolfe, Emily Wong, Hye Sun Yun, Xiaoman Zhang, Xiao Yu Cindy Zhang, Hayoung Jeong, Kaveri A. Thakoor:
Reflections from Research Roundtables at the Conference on Health, Inference, and Learning (CHIL) 2025. CoRR abs/2510.15217 (2025) - 2024
- [c13]Shubham Kaushal, Roshan Kenia, Saanvi Aima, Kaveri A. Thakoor:
Medical-Expert Eye Movement Augmented Vision Transformers for Glaucoma Diagnosis. BHI 2024: 1-8 - [c12]Tri Le, Kuang Sung, Kaveri A. Thakoor:
Predicting Ophthalmologist Gaze Patterns on OCT Data with Masked Autoencoders and Long Short - Term Memory Networks. BHI 2024: 1-8 - [c11]Wai Tak Lau, Ye Tian, Roshan Kenia, Saanvi Aima, Kaveri A. Thakoor:
Using Expert Gaze for Self-Supervised and Supervised Contrastive Learning of Glaucoma from OCT Data. CHIL 2024: 427-445 - 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 - [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
- 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) - [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
2010 – 2019
- 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 - 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) - 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) - 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
Coauthor Index
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