Sarfaraz Hussein

Orcid: 0000-0003-2783-3734

According to our database1, Sarfaraz Hussein authored at least 16 papers between 2015 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
Joint Stream: Malignant Region Learning for Breast Cancer Diagnosis.
Biomed. Signal Process. Control., 2025

2022
Automated Segmentation and Recurrence Risk Prediction of Surgically Resected Lung Tumors with Adaptive Convolutional Neural Networks.
CoRR, 2022

Identifying out of distribution samples for skin cancer and malaria images.
Biomed. Signal Process. Control., 2022

2021
Out of distribution detection for skin and malaria images.
CoRR, 2021

Estimation of BMI from facial images using semantic segmentation based region-aware pooling.
Comput. Biol. Medicine, 2021

2019
Lung and Pancreatic Tumor Characterization in the Deep Learning Era: Novel Supervised and Unsupervised Learning Approaches.
IEEE Trans. Medical Imaging, 2019

A Novel Extension to Fuzzy Connectivity for Body Composition Analysis: Applications in Thigh, Brain, and Whole Body Tissue Segmentation.
IEEE Trans. Biomed. Eng., 2019

Deep Detector Health Management under Adversarial Campaigns.
CoRR, 2019

2018
Supervised and Unsupervised Tumor Characterization in the Deep Learning Era.
CoRR, 2018

Deep multi-modal classification of intraductal papillary mucinous neoplasms (IPMN) with canonical correlation analysis.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

How to fool radiologists with generative adversarial networks? A visual turing test for lung cancer diagnosis.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017
Automatic Segmentation and Quantification of White and Brown Adipose Tissues from PET/CT Scans.
IEEE Trans. Medical Imaging, 2017

TumorNet: Lung nodule characterization using multi-view Convolutional Neural Network with Gaussian Process.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Risk Stratification of Lung Nodules Using 3D CNN-Based Multi-task Learning.
Proceedings of the Information Processing in Medical Imaging, 2017

2016
Context region discovery for automatic motion compensation in fluoroscopy.
Int. J. Comput. Assist. Radiol. Surg., 2016

2015
Context Driven Label Fusion for segmentation of Subcutaneous and Visceral Fat in CT Volumes.
CoRR, 2015


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