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Sarfaraz Hussein
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2020 – today
- 2025
- [j7]Abdul Rehman, Sarfaraz Hussein, Waqas Sultani
:
Joint Stream: Malignant Region Learning for Breast Cancer Diagnosis. Biomed. Signal Process. Control. 99: 106899 (2025) - 2024
- [i12]Abdul Rehman
Joint Stream: Malignant Region Learning for Breast Cancer Diagnosis. CoRR abs/2406.18212 (2024) - 2022
- [j6]Muhammad Zaida, Shafaqat Ali, Mohsen Ali
Identifying out of distribution samples for skin cancer and malaria images. Biomed. Signal Process. Control. 78: 103882 (2022) - [i11]Marguerite B. Basta, Sarfaraz Hussein, Hsiang Hsu, Flávio P. Calmon:
Automated Segmentation and Recurrence Risk Prediction of Surgically Resected Lung Tumors with Adaptive Convolutional Neural Networks. CoRR abs/2209.08423 (2022) - 2021
- [j5]Nadeem Yousaf, Sarfaraz Hussein, Waqas Sultani
Estimation of BMI from facial images using semantic segmentation based region-aware pooling. Comput. Biol. Medicine 133: 104392 (2021) - [i10]Nadeem Yousaf, Sarfaraz Hussein, Waqas Sultani:
Estimation of BMI from Facial Images using Semantic Segmentation based Region-Aware Pooling. CoRR abs/2104.04733 (2021) - [i9]Muhammad Zaida, Shafaqat Ali, Mohsen Ali, Sarfaraz Hussein, Asma Saadia, Waqas Sultani:
Out of distribution detection for skin and malaria images. CoRR abs/2111.01505 (2021)
2010 – 2019
- 2019
- [j4]Ismail Irmakci
A Novel Extension to Fuzzy Connectivity for Body Composition Analysis: Applications in Thigh, Brain, and Whole Body Tissue Segmentation. IEEE Trans. Biomed. Eng. 66(4): 1069-1081 (2019) - [j3]Sarfaraz Hussein
Lung and Pancreatic Tumor Characterization in the Deep Learning Era: Novel Supervised and Unsupervised Learning Approaches. IEEE Trans. Medical Imaging 38(8): 1777-1787 (2019) - [i8]Javier R. Echauz, Keith Kenemer, Sarfaraz Hussein, Jay Dhaliwal, Saurabh Shintre, Slawomir Grzonkowski, Andrew B. Gardner:
Deep Detector Health Management under Adversarial Campaigns. CoRR abs/1911.08090 (2019) - 2018
- [c4]Maria J. M. Chuquicusma, Sarfaraz Hussein, Jeremy Burt, Ulas Bagci
How to fool radiologists with generative adversarial networks? A visual turing test for lung cancer diagnosis. ISBI 2018: 240-244 - [c3]Sarfaraz Hussein, Pujan Kandel, Juan E. Corral, Candice W. Bolan, Michael B. Wallace
Deep multi-modal classification of intraductal papillary mucinous neoplasms (IPMN) with canonical correlation analysis. ISBI 2018: 800-804 - [i7]Sarfaraz Hussein, Maria M. J. Chuquicusma, Pujan Kandel, Candice W. Bolan, Michael B. Wallace, Ulas Bagci:
Supervised and Unsupervised Tumor Characterization in the Deep Learning Era. CoRR abs/1801.03230 (2018) - [i6]Ismail Irmakci, Sarfaraz Hussein, Aydogan Savran, Rita R. Kalyani, David Reiter, Chee W. Chia, Kenneth W. Fishbein, Richard G. S. Spencer, Luigi Ferrucci, Ulas Bagci:
A Novel Extension to Fuzzy Connectivity for Body Composition Analysis: Applications in Thigh, Brain, and Whole Body Tissue Segmentation. CoRR abs/1810.06071 (2018) - 2017
- [j2]Sarfaraz Hussein, Aileen Green, Arjun Watane, David Reiter
Automatic Segmentation and Quantification of White and Brown Adipose Tissues from PET/CT Scans. IEEE Trans. Medical Imaging 36(3): 734-744 (2017) - [c2]Sarfaraz Hussein, Kunlin Cao, Qi Song, Ulas Bagci
Risk Stratification of Lung Nodules Using 3D CNN-Based Multi-task Learning. IPMI 2017: 249-260 - [c1]Sarfaraz Hussein, Robert J. Gillies
TumorNet: Lung nodule characterization using multi-view Convolutional Neural Network with Gaussian Process. ISBI 2017: 1007-1010 - [i5]Sarfaraz Hussein, Robert J. Gillies, Kunlin Cao, Qi Song, Ulas Bagci:
TumorNet: Lung Nodule Characterization Using Multi-View Convolutional Neural Network with Gaussian Process. CoRR abs/1703.00645 (2017) - [i4]Sarfaraz Hussein, Kunlin Cao, Qi Song, Ulas Bagci:
Risk Stratification of Lung Nodules Using 3D CNN-Based Multi-task Learning. CoRR abs/1704.08797 (2017) - [i3]Maria J. M. Chuquicusma, Sarfaraz Hussein, Jeremy Burt, Ulas Bagci:
How to Fool Radiologists with Generative Adversarial Networks? A Visual Turing Test for Lung Cancer Diagnosis. CoRR abs/1710.09762 (2017) - [i2]Sarfaraz Hussein, Pujan Kandel, Juan E. Corral, Candice W. Bolan, Michael B. Wallace, Ulas Bagci:
Deep Multi-Modal Classification of Intraductal Papillary Mucinous Neoplasms (IPMN) with Canonical Correlation Analysis. CoRR abs/1710.09779 (2017) - 2016
- [j1]Yin Xia, Sarfaraz Hussein, Vivek K. Singh, Matthias John, Ying Wu, Terrence Chen:
Context region discovery for automatic motion compensation in fluoroscopy. Int. J. Comput. Assist. Radiol. Surg. 11(6): 977-985 (2016) - 2015
- [i1]Sarfaraz Hussein, Aileen Green, Arjun Watane, Georgios Z. Papadakis, Medhat M. Osman, Ulas Bagci:
Context Driven Label Fusion for segmentation of Subcutaneous and Visceral Fat in CT Volumes. CoRR abs/1512.04958 (2015)
Coauthor Index
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