Safwan Wshah, and Christian Skalka, and Matthew Price, Predicting Posttraumatic Stress Disorder Risk: A Machine Learning Approach, JMIR Ment Health, 2019
S. Wshah, I. Mansour, A Robust Algorithm for Face Detection in Color Images Based on Color Segmentation and Neural Network Techniques, Dirasat, University of Jordan, Engineering Science, Volume 33, No. 2, 2006
T. Osinsk, D. Arpit, S. Wshah, Ahmed Ghazi, Computer-generated assessment of technical surgical skills (CATS) , American Urological Association Annual Meeting, (AUA2016)
S. Wshah , I. Mansour, A Robust Algorithm for Face Detection in Color Images, IASTED International conference on visualization, imaging, and image processing (2005), Spain, (VIIP 2005)
S. Wshah , S. Zhixin , G. Venu, Segmentation of Arabic Handwriting Based on both Contour and Skeleton Segmentation, Conference on Document Analysis and Recognition (ICDAR 2009)
S. Wshah, G.Venu , C. Yanfen , L. Huiping, A Novel Lexicon Reduction Method for Arabic Handwriting Recognition, International Conference on Pattern Recognition, (ICPR 2010)
S. Wshah ., Kumar G., Venu G., Script IndependentWord Spotting in Offline Handwritten Documents Based on Hidden Markov Models, International Conference on Frontiers in Handwriting Recognition, (ICFHR 2012)
S. Wshah., G. Kumar G., G. Venu, Multilingual Word Spotting in Offline Handwritten Documents , 21st International Conference on Pattern Recognition, (ICPR 2012)
G. Kumar , S. Wshah ., G.Venu , Segmentation-free keyword spotting framework using dynamic background model, In proceeding of: Document Recognition and Retrieval XX, (DRR 2013)
G. Kumar , S. Wshah ., G.Venu , Variational dynamic background model for keyword spotting in handwritten documents, Electronic Imaging. International Society for Optics and Photonics, (IS&T/SPIE 2013)
S. Wshah, G. Kumar , V. Govindaraju, Statistical script independent word spotting in offline handwritten documents, Pattern Recognition Journal, 2014
E. Gross, S. Wshah, I. Simmons, G. Skinnerl, A handwriting recognition system for the classroom, Fifth International Conference on Learning Analytics And Knowledge, (LAK 2015)
B. Xu, O. Bulan, J. Kumar, S. Wshah, V. Kozitsky, P. Paul, Comparison of Early and Late Information Fusion for Multi-camera HOV Lane Enforcement, IEEE 18th International Conference on Intelligent Transportation Systems, (ITSC 2015)
B. Xu, O. Bulan, J. Kumar, S. Wshah, V. Kozitsky, P. Paul, Deep learning architectures for domain adaptation in HOV/HOT lane enforcement, 2016 IEEE Winter Conference on Applications of Computer Vision (WACV 2016)
SD Hamshaw, D Denu, MM Dewoolkar, M Holthuijzen, S Wshah, D Rizzo, Applying Deep Learning to Event Concentration-Discharge Hysteresis Patterns to Reveal Differences in Sediment Dynamics across Contrasting Watersheds, AGU Fall Meeting, 2018
Sage Hahn, Christopher S Morris, Daniel J Bertges, Safwan Wshah, Deep Learning for Recognition of Endoleak After Endovascular Abdominal Aortic Aneurysm Repair, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019)
S. Hamshaw, D. Denu, M. Holthuijzen, S. Wshah, and D. Rizzo, Automating the Classification of Hysteresis in Event Concentration-Discharge Relationships, SedHyd conference,2019
F. Almutairy, T. Alshaabi, J. Nelson, and S. Wshah, ARTS: Automotive Repository of Traffic Signs for the United Sates., in press, IEEE transactions on Intelligent Transportation Systems, 2019
O. Bulan, S. Wshah, R. Palghat, V. Kozitsky, A. Burry, USDOT Number Localization and Recognition From Vehicle Side-View NIR Images, IEEE Conference on Computer Vision and Pattern Recognition Workshops, (CVPR 2015)
E. Gross, G. Skinner, S. Wshah , Isaiah L Simmons, CONFIRMING AUTOMATICALLY RECOGNIZED HANDWRITTEN ANSWERS, US Patent App. 14/627,457, 2014
R. Eschbach , S. Wshah, ALTERING SCANS TO INCLUDE SECURITY FEATURES IDENTIFYING SCAN ORIGINATION, US Patent 9,258,452, 2014
S. Wshah , M. Campanelli , METHODS AND DEVICES FOR FORM-INDEPENDENT REGISTRATION OF FILLED-OUT CONTENT, US Patent US Patent App. 14/196,108, 2014
S. Wshah ,M. Campanelli , Y. Zhou, METHOD AND APPARATUS FOR CLASSIFYING MACHINE PRINTED TEXT AND HANDWRITTEN TEXT, US Patent App. 14/284,592, 2014
S. Wshah ,M. Campanelli, GLOBAL REGISTRATION OF FILLED-OUT CONTENT IN AN APPLICATION FORM, US Patent App. 15/149,483, 2013.
S. Wshah , M. Campanelli , CHARACTER RECOGNITION METHOD AND SYSTEM USING DIGIT SEGMENTATION AND RECOMBINATION, US Patent App. 15/149,483,2013
S. Wshah, M. Maltz, D. Venable, METHOD AND SYSTEM OF IDENTIFYING FILLABLE FIELDS OF AN ELECTRONIC FORM, 20151112US01, 10 Dec 2015
M. Maltz, S. Wshah, BUILDING TABLES WITH ROW AND COLUMN HEADING FROM A SCANNED FORM, 20150435, 09 Jul 2015
Balamurugan, L. Stone,M. Samptha, R. Taylor, S. Wshah, METHOD AND SYSTEM FOR COST OPTIMIZED CROWDSOURCING BASED ENTERPRISE FORM DIGITIZATION, 20150052, 01, March 2015
S. Wshah, B. Xu, O. Bulan, MULTI-LAYER FUSION IN A CONVOLUTIONAL NEURAL NETWORK FOR IMAGE CLASSIFICATION, US Patent App. 15/179,403, 2017
S. Wshah, R. Bala, D. Arpit, METHOD AND SYSTEM FOR EVALUATING THE QUALITY OF A SURGICAL PROCEDURE FROM IN-VIVO VIDEO, US Patent App. 15/138,494, 2017
R Eschbach, PJ Emmett, SR Wshah, EN Chapman, Methods and systems of creating a confidence map for fillable forms, US Patent App. 14/816,142, 2017
S. Wshah, B.i Xu, O. Bulan, SYSTEM AND METHOD FOR EXPANDING AND TRAINING CONVOLUTIONAL NEURAL NETWORKS FOR LARGE SIZE INPUT IMAGES, US Patent App. 15/194,757, 2017