| Automated Malware Detection Using Artifacts in Forensic Memory Images R Mosli, R Li, B Yuan, P Yin IEEE International Symposium on Technologies for Homeland Security, 1-6, 2016 | 96 | 2016 |
| GNE: a deep learning framework for gene network inference by aggregating biological information K Kc, R Li, F Cui, Q Yu, AR Haake BMC systems biology 13, 1-14, 2019 | 79 | 2019 |
| A behavior-based approach for malware detection R Mosli, R Li, B Yuan, Y Pan Advances in Digital Forensics XIII: 13th IFIP WG 11.9 International …, 2017 | 49 | 2017 |
| Histopathological distinction of non-invasive and invasive bladder cancers using machine learning approaches PN Yin, K Kc, S Wei, Q Yu, R Li, AR Haake, H Miyamoto, F Cui BMC medical informatics and decision making 20, 1-11, 2020 | 45 | 2020 |
| Predicting biomedical interactions with higher-order graph convolutional networks KC Kishan, R Li, F Cui, AR Haake IEEE/ACM transactions on computational biology and bioinformatics 19 (2 …, 2021 | 39 | 2021 |
| Learning eye movement patterns for characterization of perceptual expertise R Li, J Pelz, P Shi, CO Alm, AR Haake Proceedings of the symposium on eye tracking research and applications, 393-396, 2012 | 39 | 2012 |
| TarGAN: target-aware generative adversarial networks for multi-modality medical image translation J Chen, J Wei, R Li Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 36 | 2021 |
| A continual learning framework for uncertainty-aware interactive image segmentation E Zheng, Q Yu, R Li, P Shi, A Haake Proceedings of the AAAI Conference on Artificial Intelligence 35 (7), 6030-6038, 2021 | 27 | 2021 |
| Predicting video-conferencing conversation outcomes based on modeling facial expression synchronization R Li, J Curhan, ME Hoque Automatic Face and Gesture Recognition, 2015 11th IEEE International …, 2015 | 25 | 2015 |
| Unsupervised multi-modal medical image registration via discriminator-free image-to-image translation Z Chen, J Wei, R Li arXiv preprint arXiv:2204.13656, 2022 | 24 | 2022 |
| Image Understanding from Experts' Eyes by Modeling Perceptual Skill of Diagnostic Reasoning Processes R Li, P Shi, AR Haake Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013 | 20 | 2013 |
| Annotation schemes to encode domain knowledge in medical narratives W McCoy, CO Alm, C Calvelli, R Li, JB Pelz, P Shi, A Haake ACL: Proceedings of the Sixth Linguistic Annotation Workshop, 95-103, 2012 | 18 | 2012 |
| An expert-in-the-loop paradigm for learning medical image grouping X Guo, Q Yu, R Li, CO Alm, C Calvelli, P Shi, A Haake Pacific-Asia Conference on Knowledge Discovery and Data Mining, 477-488, 2016 | 17 | 2016 |
| Modeling eye movement patterns to characterize perceptual skill in image-based diagnostic reasoning processes R Li, P Shi, J Pelz, CO Alm, AR Haake Computer Vision and Image Understanding 151, 138-152, 2016 | 16 | 2016 |
| Infusing perceptual expertise and domain knowledge into a human-centered image retrieval system: A prototype application X Guo, R Li, C Alm, Q Yu, J Pelz, P Shi, A Haake Proceedings of the Symposium on Eye Tracking Research and Applications, 275-278, 2014 | 15 | 2014 |
| Using human experts' gaze data to evaluate image processing algorithms P Vaidyanathan, J Pelz, R Li, S Mulpuru, D Wang, P Shi, C Calvelli, ... IEEE 10th IVMSP Workshop: Perception and Visual Signal Analysis, 129-134, 2011 | 15 | 2011 |
| Modeling Physicians’ Utterances to Explore Diagnostic Decision-making X Guo, R Li, Q Yu, AR Haake The 26th International Joint Conference on Artificial Intelligence, 3700-3706, 2017 | 14 | 2017 |
| Learning image-derived eye movement patterns to characterize perceptual expertise R Li, J Pelz, P Shi, A Haake Proceedings of the Annual Meeting of the Cognitive Science Society 34 (34), 2012 | 14 | 2012 |
| Slice imputation: Multiple intermediate slices interpolation for anisotropic 3D medical image segmentation Z Wu, J Wei, J Wang, R Li Computers in biology and medicine 147, 105667, 2022 | 13 | 2022 |
| Intelligent medical image grouping through interactive learning X Guo, Q Yu, R Li, CO Alm, C Calvelli, P Shi, A Haake International journal of data science and analytics 2, 95-105, 2016 | 11 | 2016 |
Anne Haakerochester institute of technology university of rochesterVerified email at it.rit.edu
