Sarfaraz Hussein

Autonomous Vehicle Scientist, Ex-Amazon; Ph.D. in Deep Learning, Computer Vision and Medical Imaging; Speaker

Research Expertise

Machine Learning
Medical Imaging
Artificial Intelligence
Computer Vision
Deep Learning
Electrical and Electronic Engineering
Radiological and Ultrasound Technology
Computer Science Applications
Software
Radiology, Nuclear Medicine and imaging
Endocrinology
Hepatology
Endocrinology, Diabetes and Metabolism
Internal Medicine
Health Informatics
Biomedical Engineering
Computer Graphics and Computer-Aided Design
Computer Vision and Pattern Recognition
Surgery
Literature and Literary Theory
History
Cultural Studies
Signal Processing
Gastroenterology

Legacy Map

Full View

Publications

How to fool radiologists with generative adversarial networks? A visual turing test for lung cancer diagnosis
2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)
2018
Lung and Pancreatic Tumor Characterization in the Deep Learning Era: Novel Supervised and Unsupervised Learning Approaches
IEEE Transactions on Medical Imaging
2019
Risk Stratification of Lung Nodules Using 3D CNN-Based Multi-task Learning
Lecture Notes in Computer Science
2017
Deep learning beyond cats and dogs: recent advances in diagnosing breast cancer with deep neural networks
The British Journal of Radiology
2018
TumorNet: Lung nodule characterization using multi-view Convolutional Neural Network with Gaussian Process
2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017)
2017
Deep Learning to Classify Intraductal Papillary Mucinous Neoplasms Using Magnetic Resonance Imaging
Pancreas
2019
Brown adipose tissue detected by PET/CT imaging is associated with less central obesity
Nuclear Medicine Communications
2017
Automatic Segmentation and Quantification of White and Brown Adipose Tissues from PET/CT Scans
IEEE Transactions on Medical Imaging
2017
Estimation of BMI from facial images using semantic segmentation based region-aware pooling
Computers in Biology and Medicine
2021
Robust fluoroscopic tracking of multiple implanted fiducial markers
2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro
2010
A Novel Extension to Fuzzy Connectivity for Body Composition Analysis: Applications in Thigh, Brain, and Whole Body Tissue Segmentation
IEEE Transactions on Biomedical Engineering
2019
Deep multi-modal classification of intraductal papillary mucinous neoplasms (IPMN) with canonical correlation analysis
2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)
2018
Context region discovery for automatic motion compensation in fluoroscopy
International Journal of Computer Assisted Radiology and Surgery
2016
How Deep Learning Is Changing the Landscape of Lung Cancer Diagnosis
Lung Imaging and CADx
2019
Adversarial Campaign Mitigation via ROC-Centric Prognostics
Annual Conference of the PHM Society
2019
Automatic Detection of Modulation Scheme Using Convolutional Neural Networks
Unknown Venue
2021
Identifying out of distribution samples for skin cancer and malaria images
Biomedical Signal Processing and Control
2022
Su1337 - Deep Learning to Diagnose Intraductal Papillary Mucinous Neoplasms (IPMN) with MRI
Gastroenterology
2018
Vision based Semantic Runway Segmentation from Simulation with Deep Convolutional Neural Networks
Unknown Venue
2022
arXiv
100 Years of Math Milestones
2019
Adipose Tissue as an Important Body Organ
Obesity: A Kinesiologist’s Perspective
2018
Positron Emission Tomography (PET) Tumor Segmentation and Quantification: Development of New Algorithms
Unknown Venue

Links & Social Media

Research Web Site

Join Sarfaraz on NotedSource!
Join Now

At NotedSource, we believe that professors, post-docs, scientists and other researchers have deep, untapped knowledge and expertise that can be leveraged to drive innovation within companies. NotedSource is committed to bridging the gap between academia and industry by providing a platform for collaboration with industry and networking with other researchers.

For industry, NotedSource identifies the right academic experts in 24 hours to help organizations build and grow. With a platform of thousands of knowledgeable PhDs, scientists, and industry experts, NotedSource makes connecting and collaborating easy.

For academic researchers such as professors, post-docs, and Ph.D.s, NotedSource provides tools to discover and connect to your colleagues with messaging and news feeds, in addition to the opportunity to be paid for your collaboration with vetted partners.

Expert Institutions
NotedSource has experts from Stanford University
Expert institutions using NotedSource include Oxfort University
Experts from McGill have used NotedSource to share their expertise
University of Chicago experts have used NotedSource
MIT researchers have used NotedSource
Proudly trusted by
Microsoft uses NotedSource for academic partnerships
Johnson & Johnson academic research projects on NotedSource
ProQuest (Clarivate) uses NotedSource as their industry academia platform
Slamom consulting engages academics for research collaboration on NotedSource
Omnicom and OMG find academics on notedsource
Unilever research project have used NotedSource to engage academic experts

Connect with researchers and scientists like Sarfaraz Hussein on NotedSource to help your company with innovation, research, R&D, L&D, and more.