Kaveri A. Thakoor

21 papers Journal 6Unranked 15

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	AI-CNet3D: An Anatomically-Informed Cross-Attention Network with Multi-Task Consistency Fine-tuning for 3D Glaucoma Classification. CoRR Roshan Kenia, Anfei Li, Rishabh Srivastava, Kaveri A. Thakoor
2025	—	`conf`	AR Visualization of Cross-Attention-Enhanced Biomedical Image Volumes for AI-assisted Disease Diagnosis. ISMAR-Adjunct Benjamin Freeman, Kuang Sun, Roshan Kenia, Anfei Li, Steven K. Feiner, Kaveri A. Thakoor
2025	J	`jnl`	Chest X-Ray Visual Saliency Modeling: Eye-Tracking Dataset and Saliency Prediction Model. IEEE Trans. Neural Networks Learn. Syst. Jianxun Lou, Huasheng Wang, Xinbo Wu, John Cho Hui Ng, Richard D. White, Kaveri A. Thakoor, Padraig Corcoran, Ying Chen, Hantao Liu
2025	—	`conf`	Interactively Assisting Glaucoma Diagnosis with an Expert Knowledge-Distilled Vision Transformer. CHI Extended Abstracts Ziheng Li, Haowen Wei, Kuang Sun, Leyi Cui, David Li, Steven Feiner, Kaveri A. Thakoor
2025	J	`jnl`	Reflections from Research Roundtables at the Conference on Health, Inference, and Learning (CHIL) 2025. CoRR 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
2024	—	`conf`	Medical-Expert Eye Movement Augmented Vision Transformers for Glaucoma Diagnosis. BHI Shubham Kaushal, Roshan Kenia, Saanvi Aima, Kaveri A. Thakoor
2024	—	`conf`	Predicting Ophthalmologist Gaze Patterns on OCT Data with Masked Autoencoders and Long Short - Term Memory Networks. BHI Tri Le, Kuang Sung, Kaveri A. Thakoor
2024	—	`conf`	Using Expert Gaze for Self-Supervised and Supervised Contrastive Learning of Glaucoma from OCT Data. CHIL Wai Tak Lau, Ye Tian, Roshan Kenia, Saanvi Aima, Kaveri A. Thakoor
2023	—	`conf`	DVT-Net: A Multimodal Deep Vascular Topology Network for Disease Prediction. ISBI Ye Tian, Geoffrey Wu, Srilaxmi Bearelly, Andrew Laine, Kaveri A. Thakoor, Liat Shenhav
2023	—	`conf`	Detecting Eye Disease Using Vision Transformers Informed by Ophthalmology Resident Gaze Data. EMBC Shubham Kaushal, Yifan Sun, Ryan Zukerman, Royce W. S. Chen, Kaveri A. Thakoor
2023	—	`conf`	Glaucoma Progression Detection and Humphrey Visual Field Prediction Using Discriminative and Generative Vision Transformers. OMIA@MICCAI Ye Tian, Mingyang Zang, Anurag Sharma, Sophie Z. Gu, Ari Leshno, Kaveri A. Thakoor
2022	—	`conf`	Enhancing Portable OCT Image Quality via GANs for AI-Based Eye Disease Detection. DeCaF/FAIR@MICCAI Kaveri A. Thakoor, Ari Carter, Ge Song, Adam Wax, Omar Moussa, Royce W. S. Chen, Christine Hendon, Paul Sajda
2021	—	`conf`	Hybrid 3d-2d Deep Learning For Detection Of Neovascularage-Related Macular Degeneration Using Optical Coherence Tomography B-Scans And Angiography Volumes. ISBI Kaveri A. Thakoor, Darius Bordbar, Jiaang Yao, Omar Moussa, Royce W. S. Chen, Paul Sajda
2021	J	`jnl`	Robust and Interpretable Convolutional Neural Networks to Detect Glaucoma in Optical Coherence Tomography Images. IEEE Trans. Biomed. Eng. Kaveri A. Thakoor, Sharath C. Koorathota, Donald C. Hood, Paul Sajda
2020	—	`conf`	Sequence Models in Eye Tracking: Predicting Pupil Diameter During Learning. ETRA Adjunct Sharath C. Koorathota, Kaveri A. Thakoor, Patrick Adelman, Yaoli Mao, Xueqing Liu, Paul Sajda
2019	—	`conf`	Enhancing the Accuracy of Glaucoma Detection from OCT Probability Maps using Convolutional Neural Networks. EMBC Kaveri A. Thakoor, Xinhui Li, Emmanouil Tsamis, Paul Sajda, Donald C. Hood
2018	J	`jnl`	High Quality Prediction of Protein Q8 Secondary Structure by Diverse Neural Network Architectures. CoRR 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
2016	J	`jnl`	Cognitive Mechanisms Underlying the Classification of Reduced Dimensionality, Information Rich Image Representations. IEEE Intell. Syst. Kaveri A. Thakoor
2015	—	`conf`	Reduced dimensionality, information rich visual representations for scene classification. SP/SPE Kaveri A. Thakoor
2014	—	`conf`	A System for Assisting the Visually Impaired in Localization and Grasp of Desired Objects. ECCV Workshops (3) Kaveri A. Thakoor, Nii Mante, Carey Zhang, Christian Siagian, James D. Weiland, Laurent Itti, Gérard G. Medioni
2013	—	`conf`	Attention biased speeded up robust featureS (AB-SURF): A neurally-inspired object recognition algorithm for a wearable aid for the visually-impaired. ICME Workshops Kaveri A. Thakoor, Sophie Marat, Patrick J. Nasiatka, Ben P. McIntosh, Furkan E. Sahin, Armand R. Tanguay, James D. Weiland, Laurent Itti