Lab News

  • For Fall 2025 PhD applicants, I would suggest a semester reseasrch project with our lab. Please send Dr. Huo your CV if you are interested in.
  • We have launched “Democrat Imaging AI” Project: [Link to the serverless edge-computing demo]

2024

  • 02/26/2024 One paper is accepted by CVPR 2024, Congrats to Ruining!
  • 02/20/2024 Two papers are selected as the finalist of Robert F. Wagner Award in SPIE Medical Imaging 2024, Congrats to Ruining and Xueyuan!
  • 02/18/2024 One paper is accepted by Medical Image Analysis journal, Congrats to Ruining!
  • 02/02/2024 One paper is accepted by ISBI 2024, Congrats to Shunxing!
  • 01/20/2024 Dr. Huo co-chair the EI HPCI conference 2024, see you in Bay Area!

2023

  • 12/10/2023 One paper is accepted by Journal of Imaging Science and Technology, Congrats to Quan!
  • 12/05/2023 One paper is accepted by Nature Nanotechnology, Congrats to Hanyu and Quan!
  • 11/06/2023 One paper is accepted by Journal of Medical Imaging, Congrats to Tianyuan!
  • 09/10/2023 Our lab receives a grant support from NEH in next-generation archaeological mapping technology! Thanks NEH!
  • 08/23/2023 Three papers are accepted by different MICCAI 2023 workshops, Congrats to Tianyuan, Quan, and Cathy!
  • 07/13/2023 Dr. Huo received the MIDL 2023 Best Area Chair Award.
  • 06/23/2023 Two papers are accepted by MICCAI 2023, Congrats to Peter and Ruining!
  • 06/08/2023 One paper is accepted by IEEE Journal of Biomedical and Health Informatics, Congrats to Peter!
  • 05/18/2023 Quan will do a summer internship at Merck.
  • 05/15/2023 Ruining and Cathy will do a summer internship at Roche.
  • 03/15/2023 Our lab leads a NIH RO1 grant in 3D digital pathology and spatial transcriptomics! Thanks NIH!
  • 03/14/2023 One paper is accepted by IEEE Transactions on Biomedical Engineering, Congrats to Ruining!
  • 03/09/2023 One paper is accepted by Progress in Biomedical Engineering, Congrats to Cathy!
  • 03/08/2023 One paper is accepted by International Journal of Remote Sensing, Congrats to Junlin and Jiachen!
  • 03/03 2023 One paper is accepted by MIDL 2023, Congrats to Shunxing! See you at Nashville.
  • 02/28/2023 Dr. Huo serves as Area Chair of Medical Image Computing and Computer Assisted Intervention (MICCAI 2023).
  • 02/23/2022 Our paper is selected as the finalist of Robert F. Wagner Award in SPIE Medical Imaging 2023, Congrats to Chenxi!
  • 02/23/2022 Our paper is selected as the finalist of Robert F. Wagner Award in SPIE Medical Imaging 2023, Congrats to Tianyuan!
  • 02/02/2023 Our lab receives a grant support from DoD in deep phenotyping in digital pathology! Thanks DoD!
  • 01/16/2023 Dr. Huo serves as co-chair of High Performance Computing for Imaging (HPCI 2023) conference.
  • 01/15/2023 Our paper is selected as HPCI 2023 Best Paper Award Runner Up!

2022

  • 12/02/2022 Dr. Huo served as co-chair of Medical Imaging meets NeurIPS (Med-Neurips 2022) conference.
  • 11/05/2022 One paper is accepted by HPCI 2023, Congrats to Zekun!
  • 11/01/2022 Dr. Huo served as the virtual char of Medical Imaging with Deep Learning (MIDL 2023) conference.
  • 10/30/2022 7 paper are accepted by SPIE 2023!
  • 09/30/2022 One paper is accepted by Science Advance.
  • 09/22/2022 Dr. Huo served as the chair of MICCAI International Workshop on Medical Optical Imaging and Virtual Microscopy Image Analysis (MOVI)
  • 09/20/2022 Dr. Huo co-host 3rd International Workshop on Multiscale Multimodal Medical Imaging (MMMI 2022)
  • 09/18/2022 Dr. Huo served MICCAI 2022 as an Area Chair.
  • 06/03/2022 Two papers are accepted by MICCAI 2022.
  • 05/31/2022 One paper is accepted by Journal of Medical Imaging. Congrats to Tianyuan!
  • 05/31/2022 One paper is accepted by MIUA 2022, Congrats to Zheyu!
  • 05/04/2022 One paper is early accepted by MICCAI 2022, Congrats to Can!
  • 04/30/2022 Our lab receives a grant support from industry! Thanks IBM and Merative!
  • 03/28/2022 Lab member Ethan Nguyen won the prestigious 2022 Goldwater Scholars! Official Announcement
  • 02/28/2022 Our paper is accepted by MIDL 2022, Congrats to Ruining!
  • 02/13/2022 Our paper is selected as the finalist of Robert F. Wagner Award in SPIE Medical Imaging 2022, Congrats to Can!
  • 02/11/2022 Our paper is selected as the finalist of Robert F. Wagner Award in SPIE Medical Imaging 2022, Congrats to Tianyuan & Ruining!
  • 01/29/2022 One abstract is accepted by ISBI 2022. Congrats to Haoju!
  • 01/25/2022 One paper is accepted by Journal of Medical Imaging. Congrats to Yuzhe!
  • 01/07/2022 One paper is accepted by ISBI 2022. Congrats to Kaifeng!

2021

  • 10/21/2021 One paper is accepted by IEEE Transactions on Medical Imaging.
  • 10/18/2021 Seven papers have been accepted by SPIE Medical Imaging 2021.
  • 10/17/2021 Dr. Huo co-chair the ICCV CVAMD workshop.
  • 09/08/2021 Dr. Huo is invited to present at IEEE EMBS Webinars [Recorded Video].
  • 08/25/2021 One paper is accepted by MICCAI COMPAY 2021 Workshop.
  • 08/08/2021 One paper is accepted by Machine Learning in Medical Imaging Workshop.
  • 08/02/2021 One paper is accepted by MICCAI Workshop on Data Aug, Labeling, & Imperfections.
  • 07/22/2021 One paper is accepted by MICCAI Deep Generative Models Workshop.
  • 06/13/2021 Four papers are accepted by MICCAI 2021.
  • 05/01/2021 Our lab receives a grant support from ONR in Optical Neural Network. Thanks ONR!
  • 05/15/2021 One paper is accepted by Computers in Biology and Medicine.
  • 03/21/2021 One paper is accepted by IEEE Transactions on Medical Imaging.
  • 03/20/2021 One paper is accepted by Medical Image Analysis.
  • 02/02/2021 One US patent (US10910099B2) is officially granted for multi-task learning.
  • 01/13/2021 One review journal paper is accepted by Kidney International.
  • 01/10/2021 Two papers are accepted by ISBI 2021.

2020

  • 12/15/2020 One paper is accepted by Journal of Medical Imaging.
  • 10/15/2020 Four papers are accepted by SPIE medical imaging 2021.
  • 09/01/2020 Welcome Carter Caldwell, Jennifer Franklin, Ethan Nguyen join the lab!
  • 08/23/2020 Welcome Yuxuan Zhang, Zhengkai Xie join the lab!
  • 08/21/2020 Welcome Quan Liu join the lab!
  • 08/15/2020 Two abstracts are accepted by RSNA 2020.
  • 08/14/2020 One abstract is accepted as oral by ASN Anual Meeting (Kidney Week) 2020.
  • 07/24/2020 One paper is accepted by MICCAI-LABEL 2020.
  • 07/02/2020 Two papers are accepted by ECCV2020.
  • 06/22/2020 Three papers are accepted by MICCAI2020.
  • 05/13/2020 Congrats to Yuzhe Lu for DSI summer intern!
  • 04/25/2020 Welcome Can Luo, Jiaxin He join the lab!
  • 02/01/2020 Welcome Ruining Deng, Ye Chen join the lab!
  • 01/31/2020 Welcome Yuzhe Lu, Aadarsh Jha join the lab!
  • 01/30/2020 Welcome Hanchu Shen, Zheyu Zhu to join the lab!
  • 01/06/2020 The HRLB Lab is established by Dr. Yuankai Huo.
  • 01/01/2020 Book chapter is published on Handbook of MICCAI

Before 2020

  • 11/17/2019 One paper is accepted by the Journal of Medical Imaging.
  • 06/23/2019 One paper is accepted by Medical Physics.
  • 04/30/2019 One paper is accepted by NeuroImage.
  • 01/01/2019 Two papers are accepted by NeuroImage, Human Brain Mapping.
  • 12/18/2018 One paper is accepted by ISBI 2019.
  • 11/07/2018 One paper is accepted by TMI.
  • 10/15/2018 Seven papers are accepted by SPIE 2019.
  • 10/15/2018 One paper is accepted by TMI.
  • 06/15/2018 Our research is high-lighted by NVIDIA.
  • 06/07/2018 Visited Oak Ridge National Laboratory.
  • 05/25/2018 Two papers is accepted by MICCAI 2018.
  • 04/04/2018 Attended ISBI 2018 at Washington DC.
Yuankai Huo

Yuankai Huo

Assistant Professor of Computer Science

Vanderbilt University, TN, USA

Principal Investigator

Dr. Yuankai Huo is an Assistant Professor in Computer Science and Director of the Biomedical Data Representation and Learning Lab (HRLB Lab) at Vanderbilt University, TN, USA. Before joining Vanderbilt, he had worked as a Senior Research Scientist at PAII Labs. Since 2020, he has been a faculty member at the Department of Computer Science, Department of Electrical and Computer Engineering, and Data Science Institute, Vanderbilt University. His continuing efforts focus on the translational imaging research that integrating large-scale biomedical image data (microscopy images, digital pathology images, radiology images) with clinical data (genetics, phenotypes, electrical medical records (EMR), biomarkers etc.) for the better health care.

Interests
  • Medical Image Computing
  • Artificial Intelligence
  • Big Data
Education
  • PhD in Electrical Engineering, 2018

    Vanderbilt University

  • MS in Computer Science, 2014

    Columbia University