| Enhancing the accuracy of glaucoma detection from OCT probability maps using convolutional neural networks KA Thakoor, X Li, E Tsamis, P Sajda, DC Hood 2019 41st annual international conference of the IEEE engineering in …, 2019 | 58 | 2019 |
| Robust and interpretable convolutional neural networks to detect glaucoma in optical coherence tomography images KA Thakoor, SC Koorathota, DC Hood, P Sajda IEEE Transactions on Biomedical Engineering 68 (8), 2456-2466, 2020 | 50 | 2020 |
| Detecting glaucoma with only OCT: Implications for the clinic, research, screening, and AI development DC Hood, S La Bruna, E Tsamis, KA Thakoor, A Rai, A Leshno, ... Progress in Retinal and Eye Research 90, 101052, 2022 | 46 | 2022 |
| From earthquake source parameters to ground‐motion warnings near you: The ShakeAlert earthquake information to ground‐motion (eqInfo2GM) method K Thakoor, J Andrews, E Hauksson, T Heaton Seismological Research Letters 90 (3), 1243-1257, 2019 | 32 | 2019 |
| High quality prediction of protein q8 secondary structure by diverse neural network architectures I Drori, I Dwivedi, P Shrestha, J Wan, Y Wang, Y He, A Mazza, ... arXiv preprint arXiv:1811.07143, 2018 | 31 | 2018 |
| A multimodal deep learning system to distinguish late stages of AMD and to compare expert vs. AI ocular biomarkers KA Thakoor, J Yao, D Bordbar, O Moussa, W Lin, P Sajda, RWS Chen Scientific reports 12 (1), 2585, 2022 | 29 | 2022 |
| A system for assisting the visually impaired in localization and grasp of desired objects K Thakoor, N Mante, C Zhang, C Siagian, J Weiland, L Itti, G Medioni Computer Vision-ECCV 2014 Workshops: Zurich, Switzerland, September 6-7 and …, 2015 | 28 | 2015 |
| An automated method for assessing topographical structure–function agreement in abnormal glaucomatous regions E Tsamis, NK Bommakanti, A Sun, KA Thakoor, CG De Moraes, DC Hood Translational vision science & technology 9 (4), 14-14, 2020 | 25 | 2020 |
| Attention biased speeded up robust features (ab-surf): A neurally-inspired object recognition algorithm for a wearable aid for the visually-impaired KA Thakoor, S Marat, PJ Nasiatka, BP McIntosh, FE Sahin, AR Tanguay, ... 2013 IEEE International Conference on Multimedia and Expo Workshops (ICMEW), 1-6, 2013 | 19 | 2013 |
| Hybrid 3d-2d deep learning for detection of neovascularage-related macular degeneration using optical coherence tomography B-scans and angiography volumes K Thakoor, D Bordbar, J Yao, O Moussa, R Chen, P Sajda 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 1600-1604, 2021 | 14 | 2021 |
| Strategies to improve convolutional neural network generalizability and reference standards for glaucoma detection from OCT scans KA Thakoor, X Li, E Tsamis, ZZ Zemborain, CG De Moraes, P Sajda, ... Translational Vision Science & Technology 10 (4), 16-16, 2021 | 14 | 2021 |
| Sequence models in eye tracking: Predicting pupil diameter during learning SC Koorathota, K Thakoor, P Adelman, Y Mao, X Liu, P Sajda ACM Symposium on Eye Tracking Research and Applications, 1-3, 2020 | 5 | 2020 |
| A recurrent neural network for attenuating non-cognitive components of pupil dynamics S Koorathota, K Thakoor, L Hong, Y Mao, P Adelman, P Sajda Frontiers in Psychology 12, 604522, 2021 | 3 | 2021 |
| Impact of reference standard, data augmentation, and OCT input on glaucoma detection accuracy by CNNs on a new test set K Thakoor, EM Tsamis, CG De Moraes, P Sajda, DC Hood Investigative Ophthalmology & Visual Science 61 (7), 4540-4540, 2020 | 3 | 2020 |
| Neural basis for enhanced classification accuracy of reduced dimensionality information rich representations of scenes K Thakoor Proc. 37th Annual Int’l Conf. IEEE Eng. In Medicine and Biology Soc, 2015 | 3 | 2015 |
| Extracting decision-making features from the unstructured eye movements of clinicians on glaucoma OCT reports and developing AI models to classify expertise M Akerman, S Choudhary, JM Liebmann, GA Cioffi, RWS Chen, ... Frontiers in Medicine 10, 2023 | 2 | 2023 |
| Enhancing Portable OCT Image Quality via GANs for AI-Based Eye Disease Detection KA Thakoor, A Carter, G Song, A Wax, O Moussa, RWS Chen, C Hendon, ... International Workshop on Distributed, Collaborative, and Federated Learning …, 2022 | 2 | 2022 |
| A hybrid deep learning system to distinguish late stages of AMD and to compare expert vs. machine AMD risk features K Thakoor, D Bordbar, J Yao, O Moussa, W Lin, I Scherbakova, ... Investigative Ophthalmology & Visual Science 62 (8), 2146-2146, 2021 | 2 | 2021 |
| Cognitive mechanisms underlying the classification of reduced dimensionality, information rich image representations KA Thakoor IEEE Intelligent Systems 31 (2), 9-20, 2016 | 2 | 2016 |
| Reduced dimensionality, information rich visual representations for scene classification KA Thakoor 2015 IEEE Signal Processing and Signal Processing Education Workshop (SP/SPE …, 2015 | 2 | 2015 |
