| Deep learning improves contrast in low-fluence photoacoustic imaging A Hariri, K Alipour, Y Mantri, JP Schulze, JV Jokerst Biomedical optics express 11 (6), 3360-3373, 2020 | 88 | 2020 |
| Detecting glaucoma from fundus photographs using deep learning without convolutions: transformer for improved generalization R Fan, K Alipour, C Bowd, M Christopher, N Brye, JA Proudfoot, ... Ophthalmology science 3 (1), 100233, 2023 | 81 | 2023 |
| A study on multimodal and interactive explanations for visual question answering K Alipour, JP Schulze, Y Yao, A Ziskind, G Burachas arXiv preprint arXiv:2003.00431, 2020 | 33 | 2020 |
| The impact of explanations on AI competency prediction in VQA K Alipour, A Ray, X Lin, JP Schulze, Y Yao, GT Burachas 2020 IEEE International Conference on Humanized Computing and Communication …, 2020 | 13 | 2020 |
| Improving users' mental model with attention‐directed counterfactual edits K Alipour, A Ray, X Lin, M Cogswell, JP Schulze, Y Yao, GT Burachas Applied AI Letters 2 (4), e47, 2021 | 10 | 2021 |
| Combining counterfactuals with shapley values to explain image models A Lahiri, K Alipour, E Adeli, B Salimi arXiv preprint arXiv:2206.07087, 2022 | 6 | 2022 |
| Explaining image classifiers using contrastive counterfactuals in generative latent spaces K Alipour, A Lahiri, E Adeli, B Salimi, M Pazzani arXiv preprint arXiv:2206.05257, 2022 | 6 | 2022 |
| Knowing what VQA does not: Pointing to error-inducing regions to improve explanation helpfulness A Ray, M Cogswell, X Lin, K Alipour, A Divakaran, Y Yao, G Burachas arXiv preprint arXiv 2103, 2021 | 6 | 2021 |
| Arcalvr: augmented reality playground on mobile devices M Zhang, K Lucknavalai, W Liu, K Alipour, JP Schulze ACM SIGGRAPH 2019 Appy Hour, 1-2, 2019 | 6 | 2019 |
| Primary open-angle glaucoma detection with vision transformer: Improved generalization across independent fundus photograph datasets C Bowd, R Fan, K Alipour, M Christopher, N Brye, JA Proudfoot, ... Investigative Ophthalmology & Visual Science 63 (7), 2295-2295, 2022 | 5 | 2022 |
| Generating and evaluating explanations of attended and error‐inducing input regions for VQA models A Ray, M Cogswell, X Lin, K Alipour, A Divakaran, Y Yao, G Burachas Applied AI Letters 2 (4), e51, 2021 | 5 | 2021 |
| Investigation of surface stress effect in 3D complex nano parts using FEM and modified boundary Cauchy–Born method R Ghaffari, K Alipour, S Solgi, S Irani, H Haddadpour Journal of Computational Science 10, 1-12, 2015 | 5 | 2015 |
| Improving Explanations of Image Classification with Ensembles of Learners A Ahamed, K Alipour, S Kumar, S Soltani, M Pazzani Artificial Intelligence and Applications. https://doi. org/10.5121/csit, 2022 | 2 | 2022 |
| Error-based explanations for artificial intelligence behavior A Ray, MA Cogswell, A Divakaran, Y Yao, GT Burachas, K Alipour US Patent App. 17/656,391, 2024 | | 2024 |
| Attention-based and Causal Explanations in Computer Vision K Alipour University of California, San Diego, 2022 | | 2022 |
| Real-Time Photo-Realistic Augmented Reality Under Dynamic Ambient Lighting Conditions K Alipour, JP Schulze Electronic Imaging 31, 1-6, 2019 | | 2019 |
| IMPROVING EXPLANATIONS OF IMAGE CLASSIFIERS: ENSEMBLES AND MULTITASK LEARNING M Pazzani, S Soltani, S Kumar, K Alipour, A Ahamed | | |
Jürgen SchulzeResearch Scientist, UC San DiegoVerified email at ucsd.edu
