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2020 – today
- 2024
[c37]Remya Mavila, Sugam Jaiswal, Raghav Naswa, Weichao Yuwen, Bill Erdly, Dong Si:
iCare - An AI - Powered Virtual Assistant for Mental Health. ICHI 2024: 466-471- [c36]Raghav Naswa, Sugam Jaiswal, Remya Mavila, Weichao Yuwen, Bill Erdly, Dong Si:
Assessing Empathy in Mental Health Caregivers using Conversational AI. ICHI 2024: 538-540 - 2023
- [j8]Andrew Nakamura
, Hanze Meng, Minglei Zhao, Fengbin Wang, Jie Hou, Renzhi Cao, Dong Si:
Fast and automated protein-DNA/RNA macromolecular complex modeling from cryo-EM maps. Briefings Bioinform. 24(2) (2023) - 2022
- [j7]Kyle Hippe, Cade Lilley, Joshua William Berkenpas, Ciri Chandana Pocha, Kiyomi Kishaba, Hui Ding, Jie Hou, Dong Si, Renzhi Cao:
ZoomQA: residue-level protein model accuracy estimation with machine learning on sequential and 3D structural features. Briefings Bioinform. 23(1) (2022) - [j6]Nathan Ranno, Dong Si:
Neural representations of cryo-EM maps and a graph-based interpretation. BMC Bioinform. 23-S(3): 397 (2022) - [c35]Mahdi Rahbar, Rahul Kumar Chauhan, Pankil Nimeshbhai Shah, Renzhi Cao, Dong Si, Jie Hou:
Deep graph learning to estimate protein model quality using structural constraints from multiple sequence alignments. BCB 2022: 21:1-21:10 - [c34]Haowen Guan, Dong Si:
DeepTracer-Denoising: Deep Learning for 3D Electron Density Map Denoising. BIBM 2022: 2080-2087 - [c33]Jonathan Lee, Sarah Kopelovich, Sunny Chieh Cheng, Dong Si:
Psychosis iREACH: Reach for Psychosis Treatment using Artificial Intelligence. BIBM 2022: 2913-2920 - 2021
- [j5]Navjodh Singh Dhillon, Agustinus Sutandi, Manoj Vishwanath, Miranda M. Lim, Hung Cao, Dong Si:
A Raspberry Pi-Based Traumatic Brain Injury Detection System for Single-Channel Electroencephalogram. Sensors 21(8): 2779 (2021) - [c32]Ploypaphat Saltz, Shih Yin Lin, Sunny Chieh Cheng, Dong Si:
Dementia Detection using Transformer-Based Deep Learning and Natural Language Processing Models. ICHI 2021: 509-510 - [i3]Navjodh Singh Dhillon, Agustinus Sutandi, Manoj Vishwanath, Miranda M. Lim, Hung Cao, Dong Si:
A Raspberry Pi-based Traumatic Brain Injury Detection System for Single-Channel Electroencephalogram. CoRR abs/2101.10869 (2021) - [i2]Dong Si, Andrew Nakamura, Runbang Tang, Haowen Guan, Jie Hou, Ammaar Firozi, Renzhi Cao, Kyle Hippe, Minglei Zhao:
Artificial Intelligence Advances for De Novo Molecular Structure Modeling in Cryo-EM. CoRR abs/2102.06125 (2021) - [i1]Ruiwen Xing, Thomas Humphries, Dong Si:
Self-Attention Generative Adversarial Network for Iterative Reconstruction of CT Images. CoRR abs/2112.12810 (2021) - 2020
- [j4]John Smith, Matthew Conover, Natalie Stephenson, Jesse Eickholt, Dong Si, Miao Sun, Renzhi Cao:
TopQA: a topological representation for single-model protein quality assessment with machine learning. Int. J. Comput. Biol. Drug Des. 13(1): 144-153 (2020) - [c31]William R. Kearns, Neha Kaura, Myra Divina, Cuong Vo, Dong Si, Teresa Ward, Weichao Yuwen:
A Wizard-of-Oz Interface and Persona-based Methodology for Collecting Health Counseling Dialog. CHI Extended Abstracts 2020: 1-9
2010 – 2019
- 2019
- [c30]Jonas Pfab, Dong Si:
Automated Threshold Selection for Cryo-EM Density Maps. BCB 2019: 161-166 - [c29]Diem To, Dong Si, Ying Chen:
Traveler's Next Activity Predication with Location-Based Social Network Data. PredictGIS@SIGSPATIAL 2019: 15-23 - [c28]Dong Si, Sunny Chieh Cheng, Ruiwen Xing, Chang Liu, Hoi Yan Wu:
Scaling up Prediction of Psychosis by Natural Language Processing. ICTAI 2019: 339-347 - 2018
- [j3]Duncan Macmichael, Dong Si:
Machine Learning Classification of Tree Cover Type and Application to Forest Management. Int. J. Multim. Data Eng. Manag. 9(1): 1-21 (2018) - [j2]Albert Ng, Dong Si:
Beta-Barrel Detection for Medium Resolution Cryo-Electron Microscopy Density Maps Using Genetic Algorithms and Ray Tracing. J. Comput. Biol. 25(3): 326-336 (2018) - [c27]Jingjing Yang, Renzhi Cao, Dong Si:
EMNets: A Convolutional Autoencoder for Protein Surface Retrieval Based on Cryo-Electron Microscopy Imaging. BCB 2018: 639-644 - [c26]Todor K. Avramov, Dong Si:
Deep Learning for Resolution Validation of Three Dimensional Cryo-Electron Microscopy Density Maps. BCB 2018: 669-674 - [c25]Jessica Frierson, Dong Si:
Who's Next: Evaluating Attrition with Machine Learning Algorithms and Survival Analysis. BigData Congress 2018: 251-259 - [c24]Jewel Yun-Hsuan Lee, Michael Stiber, Dong Si:
Machine Learning of Spatiotemporal Bursting Behavior in Developing Neural Networks. EMBC 2018: 348-351 - [c23]Benjamin Pittman, Reza Hosseini Ghomi, Dong Si:
Parkinson's Disease Classification of mPower Walking Activity Participants. EMBC 2018: 4253-4256 - [c22]Yi-Hsin Hsu, Dong Si:
Cancer Type Prediction and Classification Based on RNA-sequencing Data. EMBC 2018: 5374-5377 - [c21]Albert Ng, Adedayo Odesile, Dong Si:
GPU Accelerated Ray Tracing for the Beta-Barrel Detection from Three-Dimensional Cryo-EM Maps. ISBRA 2018: 217-226 - 2017
- [c20]Michael Nissenson, Dong Si:
Automated Protein Chain Isolation from 3D Cryo-EM Data and Volume Comparison Tool. BCB 2017: 685-690 - [c19]Peter Collins, Dong Si:
A Graph Based Method for the Prediction of Backbone Trace from Cryo-EM Density Maps. BCB 2017: 691-697 - [c18]R. Alan Burnett, Dong Si:
Prediction of Injuries and Fatalities in Aviation Accidents through Machine Learning. ICCDA 2017: 60-68 - [c17]Todor K. Avramov, Dong Si:
Comparison of Feature Reduction Methods and Machine Learning Models for Breast Cancer Diagnosis. ICCDA 2017: 69-74 - [c16]Joe Ma, Dong Si:
Analyze NYC Transportation to Mitigate Speeding and Explore New Business Models Using Machine Learning. ICCDA 2017: 75-80 - [c15]Duncan Macmichael, Dong Si:
Addressing Forest Management Challenges by Refining Tree Cover Type Classification with Machine Learning Models. IRI 2017: 177-183 - [c14]Albert Ng, Dong Si:
Genetic Algorithm Based Beta-Barrel Detection for Medium Resolution Cryo-EM Density Maps. ISBRA 2017: 174-185 - [c13]Elizaveta Kosiachenko, Dong Si:
Classification of Brain Activity Using Brainwaves Recorded by Consumer-grade EEG Devices. MDA 2017: 14-24 - [c12]Nathaniel Grabaskas, Dong Si:
Anomaly Detection from Kepler Satellite Time-Series Data. MLDM 2017: 220-232 - [c11]Ruth M. Ogunnaike, Dong Si:
Prediction of Insurance Claim Severity Loss Using Regression Models. MLDM 2017: 233-247 - 2016
- [c10]Dong Si:
Automatic Detection of Beta-barrel from Medium Resolution Cryo-EM Density Maps. BCB 2016: 156-164 - [c9]Rongjian Li, Dong Si, Tao Zeng, Shuiwang Ji, Jing He:
Deep convolutional neural networks for detecting secondary structures in protein density maps from cryo-electron microscopy. BIBM 2016: 41-46 - 2015
- [c8]Jing He, Dong Si, Maryam Arab:
Detection of Secondary Structures from 3D Protein Images of Medium Resolutions and its Challenges. ICIG (2) 2015: 147-155 - 2014
- [c7]Dong Si, Jing He:
Orientations of beta-strand traces and near maximum twist. BCB 2014: 690-694 - [c6]Dong Si, Jing He:
Combining image processing and modeling to generate traces of beta-strands from cryo-EM density images of beta-barrels. EMBC 2014: 3941-3944 - 2013
- [c5]Kamal Al-Nasr, Lin Chen, Desh Ranjan, Mohammad Zubair, Dong Si, Jing He:
A Constrained K-shortest Path Algorithm to Rank the Topologies of the Protein Secondary Structure Elements Detected in CryoEM Volume Maps. BCB 2013: 749 - [c4]Dong Si, Jing He:
Beta-sheet Detection and Representation from Medium Resolution Cryo-EM Density Maps. BCB 2013: 764 - 2012
- [j1]Abhishek Biswas, Dong Si, Kamal Al-Nasr, Desh Ranjan, Mohammad Zubair, Jing He:
Improved Efficiency in Cryo-EM Secondary Structure Topology Determination from Inaccurate Data. J. Bioinform. Comput. Biol. 10(3) (2012) - [c3]Kamal Al-Nasr, Lin Chen, Dong Si, Desh Ranjan, Mohammad Zubair, Jing He:
Building the initial chain of the proteins through de novo modeling of the cryo-electron microscopy volume data at the medium resolutions. BCB 2012: 490-497 - [c2]Andrew McKnight, Kamal Al-Nasr, Dong Si, Andrey N. Chernikov, Nikos Chrisochoides, Jing He:
CryoEM skeleton length estimation using a decimated curve. BIBM Workshops 2012: 109-113 - 2011
- [c1]Abhishek Biswas, Dong Si, Kamal Al-Nasr, Desh Ranjan, Mohammad Zubair, Jing He:
A Constraint Dynamic Graph Approach to Identify the Secondary Structure Topology from cryoEM Density Data in Presence of Errors. BIBM 2011: 160-163
Coauthor Index
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