Chen (Cherise) Chen

Chen (Cherise) Chen

Lecturer (Assistant Professor) in Computer Vision

Chen (Cherise) Chen

Be water. 居善地，心善渊，与善仁，言善信，政善治，事善能，动善时。

Bio

Dr Chen (Cherise) Chen is a Lecturer in Computer Vision, at the Department of Computer Science, University of Sheffield, and a core member of Insigeno Institute, Center for Machine Intelligence, and Shef.AI community. She is one of six academics leading the Computer Vision research group at Sheffield. She also currently holds honorary research fellow positions at Imperial College London. Previously, she was a post-doc at Oxford BioMedIA group, University of Oxford in 2023, and the Computing Department at Imperial College London (ICL) in 2022. She was also a research scientist at HeartFlow. In 2022, she obtained her Ph.D. from the Department of Computing at Imperial College London, working closely with Prof. Daniel Rueckert and Dr. Wenjia Bai. Her doctoral thesis, entitled “Improving the domain generalization and robustness of neural networks for medical imaging,” was featured in ComputerVisionNews magazine in 2022.

Interests

  • Artificial Intelligence in Healthcare (e.g., Cardiac care)
  • Multi-modal Learning (images, signals, and language)
  • Computer Vision and Signal Processing
  • Trustworthy Machine Learning (Robustness and Explainability)
  • Data-efficient Learning
  • Generative Modelling and Data Synthesis

Academic journey

  • Post-doc at Oxford Institute of Biomedical Engineering, University of Oxford, UK
  • RA and Post-doc at BioMedIA group, Imperial College London, UK
  • PhD at BioMedIA group, Imperial College London, UK
  • MSc in Advanced Computing, Imperial College London, UK
  • BEng in Internet of Things Engineering, Harbin Institute of Technology, China







News

07/11/2024
Invited to give a talk at Queen Mary University of London.
22/10/2024
Dr Chen is invited to present our most recent work: Large Language Model-informed ECG Dual Attention Network for Heart Failure Risk Prediction at Healthy Lifespan Institute (HELSI) Annual Meeting, 2024
10/10/2024
We will be organizing MICCAI Workshop on Advancing Data Solutions in Medical Imaging AI in Marrakesh, Morocco!
10/2024
The paper: Whole Heart 3D+T Representation Learning Through Sparse 2D Cardiac MR Images is selected to give an oral presentation at MICCAI 2024! Congrats to Yundi Zhang!
20/09/2024
Invited to give a talk at the British Society of Cardiovascular Imaging and British Society of Cardiovascular Computed Tomography (BSCI/BSCCT) Annual Scientific Meeting.
18/09/2024
Invited to give a talk at University College London.
15/07/2024
Invited to give a seminar at Technical University of Munich (TUM) and Helmholtz Munich.
21/06/2024
One article was accepted by IEEE trans on Big Data.
19/06/2024
Invited to give a seminar at University of Birmingham.
14/06/2024
One work was accepted and will present at ELLIS Robust LLMs Workshop, University of Oxford, (July 29-July 30, 2024).
11/06/2024
One paper got accepted at COMPUTING IN CARDIOLOGY (CINC) 2024
03/06/2024
I am going to give a talk at CAMCA AIxMedicine, Massachusetts General Hospital and Harvard Medical School.
14/05/2024
Two papers got early accepted by MICCAI 2024!
28/04/2024
One paper got accepted by CVPR 2024 Workshop DCA in MI (Data Curation and Augmentation in Medical Imaging). [More]
24/04/2024
Invited to give a talk at BMVA symposium on "Trustworthy Multimodal Learning with Foundation Models: Bridging the Gap between AI Research and Real World Applications", British Computer Society (BCS), London. [More]
05/04/2024
Invited as a lead panelist on the MICCAI student webinar: A Panel Discussion on the Trips & Tips of MICCAI Review, Rebuttal, Challenge, and Workshop! [More]
03/2024
Invited to present our MaxStyle work at AI UK 2024, ECR connect. [More]
03/2024
Happy to announce that a Joint Workshop on Advancing Data Solutions in Medical Imaging AI (ADSMI)x The 4th Workshop on Data Augmentation, Labeling, and Imperfections (DALI) will be held in MICCAI 2024.
01/02/2024
I am invited to be the area chair (AC) for MICCAI 2024!
12/01/2024
One article was accepted by IEEE TMI on synthetic data generation for retinal vessel segmentation. Congrats to Linus Kreitner!
06/11/2023
Joined the Department of Computer Science at Uni of Sheffield as a Lecturer/Assistant Professor in Computer Vision
12/10/2023
Received IEEE TMI Gold-level Distinguished Reviewer Award (2022-2023)!
19/07/2023
Received one of the top 12 Outstanding Reviewer awards in MICCAI 2023!
19/07/2023
One paper working on efficient, effective vision language pre-training (M-Flag) got accepted to MICCAI 2023. Congrats to Che LIU!
17/05/2023

Invited to give a talk at NCT Data Science Seminar 2023 at the German Cancer Research Center (DKFZ)

Awards and honours

  • 2024: IEEE TMI Silver Level Distinguished Reviewer (2023 – 2024)
  • 2023: IEEE TMI Gold-level Distinguished Reviewer (2022-2023)
  • 2023: MICCAI 2023 Outstanding Reviewer (top 12)
  • 2022: IEEE TMI Gold-level Distinguished Reviewer (2020-2022)
  • 2022: Winner of the Fetal Tissue Annotation and Segmentation Challenge (FeTA) 2022
  • 2019: Winner of the Multi-sequence Cardiac MR Segmentation Challenge 2019
  • 2012&2013: China National Scholarships (twice) (top 0.2%): The highest level of national scholarships in China.

Contact

  • Email:
    • For invitations to grant/paper/journal review, calls for paper submissions, and/or event/workshop/code enquiries, please contact me via: work (dot) cherise (at) gmail.com
    • For PhD/Visting student enquries: please contact me via enquiry (dot) ai4health (at) gmail.com
    • For other urgent stuff, e.g., meetings, please send an email to my primary email box chen (dot) chen2 (at) sheffield.ac.uk
  • Address: Regent court 222, School of Computer Science, University of Sheffield, Sheffield, UK. S1 4DP