Travis Williams

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Robert Y. LiProfessor of Electrical Engineering, NC A&T State UnivesityVerified email at ncat.edu
Amber L. SimpsonCanada Research Chair in Biomedical Computing and Informatics, Queen's UniversityVerified email at queensu.ca
Mithat GönenMemorial Sloan-Kettering Cancer CenterVerified email at alumni.stanford.edu
Jayasree ChakrabortyHepatopancreatobiliary Service, Memorial Sloan Kettering Cancer CenterVerified email at mskcc.org
t. peter kinghammemorial Sloan Kettering cancer centerVerified email at mskcc.org
Gokce Askanİstanbul University Cerrahpaşa-Cerrahpaşa School of MedicineVerified email at iuc.edu.tr
Olca BasturkMemorial Sloan Kettering Cancer CenterVerified email at mskcc.org
Jeffrey A DrebinMemorial Sloan Kettering Cancer CenterVerified email at mskcc.org
Marc AttiyehCedars-Sinai Medical CenterVerified email at cshs.org
Chrysafis AndreouUniversity of Cyprus, Department of Electrical and Computer EngineeringVerified email at ucy.ac.cy
Moritz KircherChair, Department of Imaging, Dana-Farber Cancer Institute/Harvard Medical SchoolVerified email at dfci.harvard.edu
Thomas ReinerMemorial Sloan Kettering Cancer CenterVerified email at mskcc.org
Jan GrimmMemorial Sloan Kettering Cancer CenterVerified email at mskcc.org
Yana K. ReshetnyakProfessor of Physics, University of Rhode IslandVerified email at mail.uri.edu
Jason S. LewisMSKCCVerified email at mskcc.org
Sheryl RobertsAssistant Professor, Wayne State UniversityVerified email at wayne.edu
Susanne KossatzTechnical University MunichVerified email at tum.de
Christian BrandCSO, Summit Biomedical Imaging LLCVerified email at summitbiomedicalimaging.com
Michelle S. BradburyProfessor of RadiologyVerified email at med.cornell.edu
Alessandra PulvirentiUniversity of PaduaVerified email at unipd.it

Travis Williams

Senior Scientist, Rutgers University

Verified email at rutgers.edu - Homepage

Deep Learning Neural Networks Digital Image Processing Digital Signal Processing Pattern Recognition


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Wavelet Pooling for Convolutional Neural Networks T Williams, R Li ICLR, 2018	224	2018
Advanced image classification using wavelets and convolutional neural networks T Williams, R Li Machine Learning and Applications (ICMLA), 2016 15th IEEE International …, 2016	86	2016
An ensemble of convolutional neural networks using wavelets for image classification T Williams, R Li Journal of Software Engineering and Applications 11 (2), 69-88, 2018	38	2018
Acid specific dark quencher QC1 pHLIP for multi-spectral optoacoustic diagnoses of breast cancer S Roberts, A Strome, C Choi, C Andreou, S Kossatz, C Brand, T Williams, ... Scientific reports 9 (1), 8550, 2019	20	2019
Multimodal radiomics and cyst fluid inflammatory markers model to predict preoperative risk in intraductal papillary mucinous neoplasms KA Harrington, TL Williams, SA Lawrence, J Chakraborty, MA Al Efishat, ... Journal of Medical Imaging 7 (3), 031507-031507, 2020	9	2020
SDA-based neural network approach to digit classification T Williams, R Li SoutheastCon 2016, 1-6, 2016	4	2016
Radiomics in surgical oncology: applications and challenges TL Williams, LV Saadat, M Gonen, A Wei, RKG Do, AL Simpson Computer Assisted Surgery 26 (1), 85-96, 2021	3	2021
Threshout regularization for deep neural networks T Williams, R Li SoutheastCon 2021, 01-08, 2021	1	2021
A combined radiomics and cyst fluid inflammatory markers model to predict preoperative risk in pancreatic cystic lesions TL Williams, KA Harrington, SA Lawrence, J Chakraborty, MA Al Efishat, ... Medical Imaging 2020: Image-Guided Procedures, Robotic Interventions, and …, 2020	1	2020
Advanced Image Classification using Deep Neural Networks TL Williams North Carolina Agricultural and Technical State University, 2017	1	2017
An efficient hybrid Fourier-Wavelet Neighborhood Coefficient image denoising approach T Williams, R Li SoutheastCon 2016, 1-4, 2016	1	2016
Quantitation of Oncologic Image Features for Radiomic Analyses in PET TL Williams, M Gonen, R Wray, RKG Do, AL Simpson Positron Emission Tomography: Methods and Protocols, 409-421, 2023		2023
A Comparative Study of Image Denoising Techniques in the Spatial and Wavelet Domain T Williams, R Li Proceedings of the 26th Modern AI and Cognitive Science Conference 2015, 2015		2015

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