Han Liu

Researcher, Siemens Healthineers

Joined

February 2022

Names

Han Liu (Preferred)

Emails

****@vanderbilt.edu (Confirmed)

****@siemens-healthineers.com (Confirmed)

Personal Links

Homepage

Google Scholar

ORCID

Career & Education History

Researcher

Siemens Healthineers (siemens-healthineers.com)

2024 – Present

PhD student

Vanderbilt University (vanderbilt.edu)

2019 – 2024

Researcher

University of Pittsburgh (pitt.edu)

2017 – 2019

MS student

Yale University (yale.edu)

2016 – 2017

Undergrad student

Rensselaer Polytechnic Institute (rpi.edu)

2012 – 2016

Advisors, Relations & Conflicts

PhD Advisor

Benoit Dawant

Present

PhD Advisor

Ipek Oguz

Present

Expertise

Medical Image Analysis

Present

Deep Learning

Present

Publications

Rethinking Domain-Specific Pretraining by Supervised or Self-Supervised Learning for Chest Radiograph Classification: A Comparative Study Against ImageNet Counterparts in Cold-Start Active Learning
Han Yuan, Mingcheng Zhu, Rui Yang, Han Liu, Irene Li, Chuan Hong
- Health Care Science
- Readers: Everyone
Demo: Generative AI helps Radiotherapy Planning with User Preference
Riqiang Gao, Simon Arberet, Martin Kraus, Han Liu, Wilko F.A.R. Verbakel, Dorin Comaniciu, Florin-Cristian Ghesu, Ali Kamen
- GenAI4Health 2025 Oral
- Readers: Everyone
Deep Learning–based Unsupervised Domain Adaptation via a Unified Model for Prostate Lesion Detection Using Multisite Biparametric MRI Datasets
Hao Li, Han Liu, Heinrich von Busch, Robert Grimm, Henkjan Huisman, Angela Tong, David Winkel, Tobias Penzkofer, Ivan Shabunin, Moon Hyung Choi, Qingsong Yang, Dieter Szolar, Steven Shea, Fergus Coakley, Mukesh Harisinghani, Ipek Oguz, Dorin Comaniciu, Ali Kamen, Bin Lou
- Radiology: Artificial Intelligence
- Readers: Everyone
Domain generalization for retinal vessel segmentation via Hessian-based vector field
Dewei Hu, Hao Li, Han Liu, Ipek Oguz
- Medical Image Analysis
- Readers: Everyone
COSST: Multi-Organ Segmentation With Partially Labeled Datasets Using Comprehensive Supervisions and Self-Training
Han Liu, Zhoubing Xu, Riqiang Gao, Hao Li, Jianing Wang, Guillaume Chabin, Ipek Oguz, Sasa Grbic
- IEEE Transactions on Medical Imaging
- Readers: Everyone

Co-Authors

View all 33 co-authors

Han Liu

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Rethinking Domain-Specific Pretraining by Supervised or Self-Supervised Learning for Chest Radiograph Classification: A Comparative Study Against ImageNet Counterparts in Cold-Start Active Learning

Demo: Generative AI helps Radiotherapy Planning with User Preference

Deep Learning–based Unsupervised Domain Adaptation via a Unified Model for Prostate Lesion Detection Using Multisite Biparametric MRI Datasets

Domain generalization for retinal vessel segmentation via Hessian-based vector field

COSST: Multi-Organ Segmentation With Partially Labeled Datasets Using Comprehensive Supervisions and Self-Training

Co-Authors