Muhammad Usman

Postdoc, Department of Pathology, Stanford University

Joined

November 2023

Names

Muhammad Usman (Preferred)

Emails

****@snu.ac.kr (Confirmed)

****@gmail.com (Confirmed)

****@stanford.edu (Confirmed)

Personal Links

Homepage

Google Scholar

ORCID

Career & Education History

Postdoc

Department of Pathology, Stanford University (stanford.edu)

2025 – 2027

PhD student

computer science and engineering , Seoul National University (snu.ac.kr)

2020 – 2023

Advisors, Relations & Conflicts

Postdoc Advisor

Nima Aghaeepour

2025 – 2026

PhD Advisor

Yeong Gil Shin

2020 – 2023

Coauthor

Junaid Qadir

2017 – 2023

Expertise

Deep Learning

2018 – 2023

Medical image analysis

2017 – 2023

Publications

SA-AVAE: A sex-Aware adversarial variational autoencoder network for biological brain age estimation in IoMT-Enabled multimodal neuroimages
Abd Ur Rehman, Azka Rehman, Muhammad Umar Farooq, Taehyun Lee, Tariq M. Khan, Imran Razzak, Sung-Min Gho, Aleum Lee, Dong-Kyu Chae, Muhammad Usman
- Internet of Things
- Readers: Everyone
Multi-encoder self-adaptive hard attention network with maximum intensity projections for lung nodule segmentation
Muhammad Usman, Azka Rehman, Abd Ur Rehman, Abdullah Shahid, Tariq Mahmood Khan, Imran Razzak, Minyoung Chung, Yeong-Gil Shin
- Computers in Biology and Medicine
- Readers: Everyone
GDSSA-Net: A gradually deeply supervised self-ensemble attention network for IoMT-integrated thyroid nodule segmentation
Muhammad Umar Farooq, Haris Ghafoor, Azka Rehman, Muhammad Usman, Dong-Kyu Chae
- Internet of Things
- Readers: Everyone
Advancing Metaverse-Based Healthcare With Multimodal Neuroimaging Fusion Via Multi-Task Adversarial Variational Autoencoder for Brain Age Estimation
Muhammad Usman, Azka Rehman, Abdullah Shahid, Abd Ur Rehman, Sung-Min Gho, Aleum Lee, Tariq M. Khan, Imran Razzak
- IEEE Journal of Biomedical and Health Informatics
- Readers: Everyone
Retrospective Motion Correction in Multishot MRI using Generative Adversarial Network.
Muhammad Usman, Siddique Latif, Muhammad Asim, Byoung-Dai D Lee, Junaid Qadir
- Scientific reports
- Readers: Everyone
Volumetric lung nodule segmentation using adaptive ROI with multi-view residual learning.
Muhammad Usman, Byoung-Dai D Lee, Shi-Sub S Byon, Sung-Hyun H Kim, Byung-Il I Lee, Yeong-Gil G Shin
- Scientific reports
- Readers: Everyone
Leveraging Data Science to Combat COVID-19: A Comprehensive Review.
Siddique Latif, Muhammad Usman, Sanaullah Manzoor, Waleed Iqbal, Junaid Qadir, Gareth Tyson, Ignacio Castro, Adeel Razi, Maged N Boulos, Adrian Weller, Jon Crowcroft
- IEEE transactions on artificial intelligence
- Readers: Everyone
Evaluation of the feasibility of explainable computer-aided detection of cardiomegaly on chest radiographs using deep learning.
Mu Sook Lee, Yong Soo Kim, Minki Kim, Muhammad Usman, Shi Sub Byon, Sung Hyun Kim, Byoung Il Lee, Byoung-Dai D Lee
- Scientific reports
- Readers: Everyone
Dual-Stage Deeply Supervised Attention-Based Convolutional Neural Networks for Mandibular Canal Segmentation in CBCT Scans.
Muhammad Usman, Azka Rehman, Amal Muhammad Saleem, Rabeea Jawaid, Shi-Sub S Byon, Sung-Hyun H Kim, Byoung-Dai D Lee, Min-Suk S Heo, Yeong-Gil G Shin
- Sensors (Basel, Switzerland)
- Readers: Everyone
Densely attention mechanism based network for COVID-19 detection in chest X-rays.
Zahid Ullah, Muhammad Usman, Siddique Latif, Jeonghwan Gwak
- Scientific reports
- Readers: Everyone

View all 15 publications

Co-Authors

View all 46 co-authors