Rui Li

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Anne Haakerochester institute of technology university of rochesterDirección de correo verificada de it.rit.edu
Pengcheng ShiRochester Institute of TechnologyDirección de correo verificada de rit.edu
Qi YuProfessor, Rochester Institute of TechnologyDirección de correo verificada de rit.edu
Feng Cui, Ph.D.Rochester Institute of TechnologyDirección de correo verificada de g.rit.edu
Kishan K CApplied Scientist at Amazon Alexa AIDirección de correo verificada de rit.edu
Jeff B. PelzFrederick Wiedman Professor, Carlson Center for Imaging Science, Rochester Institute of TechnologyDirección de correo verificada de cis.rit.edu
Jia WeiSouth China University of TechnologyDirección de correo verificada de scut.edu.cn
Cecilia O. AlmProfessor, Rochester Institute of TechnologyDirección de correo verificada de rit.edu
Xuan GuoApplied Scientist at AmazonDirección de correo verificada de amazon.com
Yin PanAssociate Professor of Rochester Institute of TechnologyDirección de correo verificada de rit.edu
Bo Yuan (袁波)Professor in Computing Security, Rochester Institute of TechnologyDirección de correo verificada de rit.edu
Rayan MosliAssistant Professor, King Abdulaziz UniversityDirección de correo verificada de kau.edu.sa
Ervine ZhengDirección de correo verificada de rit.edu
Jared R CurhanMIT Sloan School of ManagementDirección de correo verificada de post.harvard.edu
Ehsan HoqueProfessor of Computer Science, University of RochesterDirección de correo verificada de cs.rochester.edu
Jianlong ZhouUniversity of Technology Sydney (UTS)Dirección de correo verificada de uts.edu.au
Sai Krishna MulpuruResearcher, Faculty and Tech ArtistDirección de correo verificada de manipal.edu
Preethi VaidyanathanPh.D.Dirección de correo verificada de rit.edu
Hiroshi MiyamotoUniversity of Rochester Medical CenterDirección de correo verificada de urmc.rochester.edu
Mahdi GilanyQueen's UniversityDirección de correo verificada de queensu.ca

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Rui Li

Rochester Institute of Technology

Dirección de correo verificada de rit.edu - Página principal

Machine Learning Artificial Intelligence Computational Biology Affective Computing Eye Tracking


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	97	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	85	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	52	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	49	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	43	2021
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	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
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	29	2021
Unsupervised multi-modal medical image registration via discriminator-free image-to-image translation Z Chen, J Wei, R Li The 31st International Joint Conference on Artificial Intelligence, 834-839, 2022	27	2022
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
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 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	16	2017
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
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	14	2022
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
Learning multi-modal brain tumor segmentation from privileged semi-paired MRI images with curriculum disentanglement learning Z Liu, J Wei, R Li, J Zhou Computers in biology and medicine 159, 106927, 2023	13	2023

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