| Data-driven diagnostics and the potential of mobile artificial intelligence for digital therapeutic phenotyping in computational psychiatry P Washington, N Park, P Srivastava, C Voss, A Kline, M Varma, Q Tariq, ... Biological Psychiatry: Cognitive Neuroscience and Neuroimaging 5 (8), 759-769, 2020 | 89 | 2020 |
| Feature selection and dimension reduction of social autism data P Washington, KM Paskov, H Kalantarian, N Stockham, C Voss, A Kline, ... Pacific Symposium on Biocomputing 2020, 707-718, 2019 | 46 | 2019 |
| Precision telemedicine through crowdsourced machine learning: testing variability of crowd workers for video-based autism feature recognition P Washington, E Leblanc, K Dunlap, Y Penev, A Kline, K Paskov, MW Sun, ... Journal of personalized medicine 10 (3), 86, 2020 | 44 | 2020 |
| Activity recognition with moving cameras and few training examples: applications for detection of autism-related headbanging P Washington, A Kline, OC Mutlu, E Leblanc, C Hou, N Stockham, ... Extended abstracts of the 2021 CHI conference on human factors in computing …, 2021 | 43 | 2021 |
| Validity of online screening for autism: crowdsourcing study comparing paid and unpaid diagnostic tasks P Washington, H Kalantarian, Q Tariq, J Schwartz, K Dunlap, B Chrisman, ... Journal of medical Internet research 21 (5), e13668, 2019 | 38 | 2019 |
| Indels in SARS-CoV-2 occur at template-switching hotspots BS Chrisman, K Paskov, N Stockham, K Tabatabaei, JY Jung, ... BioData Mining 14, 1-16, 2021 | 32* | 2021 |
| The classification of abnormal hand movement to aid in autism detection: Machine learning study A Lakkapragada, A Kline, OC Mutlu, K Paskov, B Chrisman, N Stockham, ... JMIR Biomedical Engineering 7 (1), e33771, 2022 | 30 | 2022 |
| Crowdsourced privacy-preserved feature tagging of short home videos for machine learning ASD detection P Washington, Q Tariq, E Leblanc, B Chrisman, K Dunlap, A Kline, ... Scientific reports 11 (1), 7620, 2021 | 29* | 2021 |
| Selection of trustworthy crowd workers for telemedical diagnosis of pediatric autism spectrum disorder P Washington, E Leblanc, K Dunlap, Y Penev, M Varma, JY Jung, ... Biocomputing 2021: proceedings of the Pacific symposium, 14-25, 2020 | 28 | 2020 |
| Identification of social engagement indicators associated with autism spectrum disorder using a game-based mobile app: comparative study of gaze fixation and visual scanning … M Varma, P Washington, B Chrisman, A Kline, E Leblanc, K Paskov, ... Journal of medical Internet research 24 (2), e31830, 2022 | 27 | 2022 |
| The human “contaminome”: bacterial, viral, and computational contamination in whole genome sequences from 1000 families B Chrisman, C He, JY Jung, N Stockham, K Paskov, P Washington, ... Scientific Reports 12 (1), 9863, 2022 | 24 | 2022 |
| Improved digital therapy for developmental pediatrics using domain-specific artificial intelligence: Machine learning study P Washington, H Kalantarian, J Kent, A Husic, A Kline, E Leblanc, C Hou, ... JMIR pediatrics and parenting 5 (2), e26760, 2022 | 24 | 2022 |
| Multi-angle meta-analysis of the gut microbiome in Autism Spectrum Disorder: A step toward understanding patient subgroups KA West, X Yin, EM Rutherford, B Wee, J Choi, BS Chrisman, KL Dunlap, ... Scientific Reports 12 (1), 17034, 2022 | 23 | 2022 |
| Training an emotion detection classifier using frames from a mobile therapeutic game for children with developmental disorders P Washington, H Kalantarian, J Kent, A Husic, A Kline, E Leblanc, C Hou, ... arXiv preprint arXiv:2012.08678, 2020 | 23 | 2020 |
| Training affective computer vision models by crowdsourcing soft-target labels P Washington, H Kalantarian, J Kent, A Husic, A Kline, E Leblanc, C Hou, ... Cognitive computation 13, 1363-1373, 2021 | 17 | 2021 |
| Game theoretic centrality: a novel approach to prioritize disease candidate genes by combining biological networks with the Shapley value MW Sun, S Moretti, KM Paskov, NT Stockham, M Varma, BS Chrisman, ... BMC bioinformatics 21, 1-10, 2020 | 17 | 2020 |
| Outgroup machine learning approach identifies single nucleotide variants in noncoding DNA associated with autism spectrum disorder M Varma, KM Paskov, JY Jung, BS Chrisman, NT Stockham, ... Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing 24, 260, 2019 | 13 | 2019 |
| Challenges and opportunities for machine learning classification of behavior and mental state from images P Washington, CO Mutlu, A Kline, K Paskov, NT Stockham, B Chrisman, ... arXiv preprint arXiv:2201.11197, 2022 | 12 | 2022 |
| Crowd annotations can approximate clinical autism impressions from short home videos with privacy protections P Washington, B Chrisman, E Leblanc, K Dunlap, A Kline, C Mutlu, ... Intelligence-based medicine 6, 100056, 2022 | 12 | 2022 |
| Multiscale modeling of cardiovascular function predicts that the end-systolic pressure volume relationship can be targeted via multiple therapeutic strategies KS Campbell, BS Chrisman, SG Campbell Frontiers in physiology 11, 512645, 2020 | 12 | 2020 |
