Cris H.B. Claessens

Ph.D. Candidate Computer Vision in Healthcare

About me

I am a Ph.D. candidate at the Eindhoven University of Technology. My research focuses on the development of computer vision algorithms for the analysis of medical images. I am particularly interested in the application of deep learning techniques for the early diagnosis of cancer using 3D medical images. My research is part of a close collaboration between the Eindhoven University of Technology, the Erasmus University Medical Center Rotterdam, and the Catharina Hospital Eindhoven.

Picture of C.H.B. Claessens

Publications

Augmentations SPIE2024

Evaluating Task Specific Augmentations in Self-Supervised Pre-Training for 3D Medical Image Analysis

SPIE Medical Imaging 2024, San Diego, CA, USA (accepted Aug 2023, published soon..)

Experiences

Ph.D. Candidate Computer Vision in Healthcare

Eindhoven University of Technology

  • Early detection of lung metastases in colorectal cancer patients
  • Ovarium tumor classification using multi modality data
  • Automated interpretation of peritoneal metastases

MSc. Medical Engineering

Eindhoven University of Technology

  • Specialization in medical image analysis, computer vision, and MR physics
  • Thesis on "Transformation of intracranial direct electrical stimulation sites to postoperative MRI in awake glioma surgery"

BSc. Biomedical Engineering

Eindhoven University of Technology

  • Specialization in medical image analysis, deep-learning, and cardiovascular bio-mechanics
  • Thesis on "Alterations in phospholipid metabolism upon neoadjuvent chemotherapy treatment in breast cancer patients assessed by 31-P MRSI at 7 Tesla"