Attention biased speeded up robust featureS (AB-SURF): A neurally-inspired object recognition algorithm for a wearable aid for the visually-impaired. - Kaveri A. Thakoor; Sophie Marat; Patrick J. Nasiatka; Ben P. McIntosh; Furkan E. Sahin; Armand R. Tanguay; James D. Weiland; Laurent Itti (ICME Workshops, 2013)

A System for Assisting the Visually Impaired in Localization and Grasp of Desired Objects. - Kaveri A. Thakoor; Nii Mante; Carey Zhang; Christian Siagian; James D. Weiland; Laurent Itti; Gérard G. Medioni (ECCV Workshops (3), 2014)

Reduced dimensionality, information rich visual representations for scene classification. - Kaveri A. Thakoor (SP/SPE, 2015)

Cognitive Mechanisms Underlying the Classification of Reduced Dimensionality, Information Rich Image Representations. - Kaveri A. Thakoor (IEEE Intell. Syst., 2016)

High Quality Prediction of Protein Q8 Secondary Structure by Diverse Neural Network Architectures. - 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; et al. (CoRR, 2018)

Enhancing the Accuracy of Glaucoma Detection from OCT Probability Maps using Convolutional Neural Networks. - Kaveri A. Thakoor; Xin-Hui Li; Emmanouil Tsamis; Paul Sajda; Donald C. Hood (EMBC, 2019)

Sequence Models in Eye Tracking: Predicting Pupil Diameter During Learning. - Sharath C. Koorathota; Kaveri A. Thakoor; Patrick Adelman; Yaoli Mao; Xueqing Liu 002; Paul Sajda (ETRA Adjunct, 2020)

Hybrid 3d-2d Deep Learning For Detection Of Neovascularage-Related Macular Degeneration Using Optical Coherence Tomography B-Scans And Angiography Volumes. - Kaveri A. Thakoor; Darius Bordbar; Jiaang Yao; Omar Moussa; Royce W. S. Chen; Paul Sajda (ISBI, 2021)

Robust and Interpretable Convolutional Neural Networks to Detect Glaucoma in Optical Coherence Tomography Images. - Kaveri A. Thakoor; Sharath C. Koorathota; Donald C. Hood; Paul Sajda (IEEE Trans. Biomed. Eng., 2021)

Enhancing Portable OCT Image Quality via GANs for AI-Based Eye Disease Detection. - Kaveri A. Thakoor; Ari Carter; Ge Song; Adam Wax; Omar Moussa; Royce W. S. Chen; Christine Hendon; Paul Sajda (DeCaF/FAIR@MICCAI, 2022)

Robust and Interpretable Convolutional Neural Networks to Detect Glaucoma in Optical Coherence Tomography Images. - Kaveri A. Thakoor; Sharath C. Koorathota; Donald C. Hood; Paul Sajda (IEEE DataPort, 2022)

Detecting Eye Disease Using Vision Transformers Informed by Ophthalmology Resident Gaze Data. - Shubham Kaushal; Yifan Sun 010; Ryan Zukerman; Royce W. S. Chen; Kaveri A. Thakoor (EMBC, 2023)

DVT-Net: A Multimodal Deep Vascular Topology Network for Disease Prediction. - Ye Tian; Geoffrey Wu; Srilaxmi Bearelly; Andrew Laine; Kaveri A. Thakoor; Liat Shenhav (ISBI, 2023)

Glaucoma Progression Detection and Humphrey Visual Field Prediction Using Discriminative and Generative Vision Transformers. - Ye Tian; Mingyang Zang; Anurag Sharma; Sophie Z. Gu; Ari Leshno; Kaveri A. Thakoor (OMIA@MICCAI, 2023)

Medical-Expert Eye Movement Augmented Vision Transformers for Glaucoma Diagnosis. - Shubham Kaushal; Roshan Kenia; Saanvi Aima; Kaveri A. Thakoor (BHI, 2024)

Predicting Ophthalmologist Gaze Patterns on OCT Data with Masked Autoencoders and Long Short - Term Memory Networks. - Tri Le; Kuang Sung; Kaveri A. Thakoor (BHI, 2024)

Using Expert Gaze for Self-Supervised and Supervised Contrastive Learning of Glaucoma from OCT Data. - Wai Tak Lau; Ye Tian; Roshan Kenia; Saanvi Aima; Kaveri A. Thakoor (CHIL, 2024)

Interactively Assisting Glaucoma Diagnosis with an Expert Knowledge-Distilled Vision Transformer. - Ziheng Li; Haowen Wei; Kuang Sun; Leyi Cui; David Li 005; Steven Feiner; Kaveri A. Thakoor (CHI Extended Abstracts, 2025)