Tim J.M. Jaspers

PhD Candidate Medical Computer Vision & AI - Eindhoven University of Technology

Biography

Tim Jaspers is currently pursuing a PhD with the Video Coding and Architectures Research Group, where their research focuses on addressing the blind spots of artificial intelligence (AI) and computer vision applications in endoscopy. This research aims to enhance the precision and reliability of these technologies in medical settings, ensuring safer and more effective outcomes.

Contact: t.j.m.jaspers@tue.nl.

Highlighted Publications

Robustness evaluation of deep neural networks for endoscopic image analysis: Insights and strategies

Tim J.M. Jaspers, Tim G.W. Boers, Carolus H.J. Kusters, Martijn R. Jong, Jelmer B. Jukema, Albert J. de Groof, Jacques J. Bergman, Peter H.N. de With and Fons van der Sommen

Medical Image Analysis - Volume 94, January 2024

Elsevier ScienceDirect

Github

Deep Learning Synthesis of White-Blood From Dark-Blood Late Gadolinium Enhancement Cardiac Magnetic Resonance

Tim J.M. Jaspers, Bibi Martens, Richard Crawley, Lamis Jada, Sina Amirrajab, Marcel Breeuwer, Robert J. Holtackers, Amedeo Chiribiri, and Cian M. Scannell

Investigative Radiology - Volume XX, 2024

Wolters Kluwer

Will Transformers change gastrointestinal endoscopic image analysis? A comparative analysis between CNNs and Transformers, in terms of performance, robustness and generalization

Carolus H.J. Kusters, Tim J.M. Jaspers, Tim G.W. Boers, Martijn R. Jong, Jelmer B. Jukema, Kiki N. Fockens, Albert J. de Groof, Jacques J. Bergman, Fons van der Sommen and Peter H.N. de With

Medical Image Analysis - Volume 99, January 2025

Elsevier ScienceDirect

Github

Foundation models in gastrointestinal endoscopic AI: Impact of architecture, pre-training approach and data efficiency

Tim G.W. Boers, Kiki N. Fockens, Joost A. van der Putten, Tim J.M. Jaspers, Carolus H.J. Kusters, Jelmer B. Jukema, Martijn R. Jong, Maarten R. Struyvenberg, Albert J. de Groof, Jacques J. Bergman, Peter H.N. de With and Fons van der Sommen

Medical Image Analysis - Volume 99, January 2025

Elsevier ScienceDirect

Deep learning-based recognition of key anatomical structures during robot-assisted minimally invasive esophagectomy

Robin Den Boer, Tim J.M. Jaspers, Cas De Jongh, Josien P.W. Pluim, Fons van der Sommen, Tim G.W. Boers, Richard van Hillegersberg, Maureen A.J.M. Van Eijnatten and Jelle P. Ruurda P. Ruurda

Surgical Endoscopy - Volume 37 - Issue 7, July 2023

Springer

Recent Publications

Exploring the Effect of Dataset Diversity in Self-Supervised Learning for Surgical Computer Vision

Tim J.M. Jaspers, Ronald L.P.D. de Jong, Yasmina Al Khalil, Tijn Zeelenberg, Carolus H.J. Kusters, Yiping Li, Romy C. van Jaarsveld, Franciscus H.A. Bakker, Jelle P. Ruurda, Willem M. Brinkmann, Peter H.N. de With and Fons van der Sommen

Data Engineering in Medical Imaging (DEMI) Workshop (2rd Edition) - Satellite Event MICCAI 2024

Github

Automated Surgical Urethral Length Estimation for Robot-Assisted Radical Prostatectomy

Joris de Nijs, Tim J.M. Jaspers, Franciscus H.A. Bakker, Willem M. Brinkmann, Peter H.N. de With and Fons van der Sommen

IEEE International Symposium on Biomedical Imaging (ISBI 2024)

IEEE Xplore

Investigating the Impact of Image Quality on Endoscopic AI Model Performance

Tim J.M. Jaspers, Tim G.W. Boers, Carolus H.J. Kusters, Martijn R. Jong, Jelmer B. Jukema, Albert J. de Groof, Jacques J. Bergman, Peter H.N. de With and Fons van der Sommen

Applications of Medical AI (AMAI) Workshop (2rd Edition) - Satellite Event MICCAI 2023

Springer

Github

Experiences

PhD Candidate - Video Coding & Architectures
Eindhoven University of Technology

  • Project title: Mind the gap in endoscopic AI: Towards robust and reliable AI applications in daily endoscopic practice.
    • Description: Focus on identifying blind spots of Artificial Intelligence (AI) in endoscopy.
    • Supervision: prof.dr.ir. Peter de With (Full professor at TU/e, IEEE Life Fellow) and dr.ir. Fons van der Sommen (Associate professor at TU/e)
  • Teaching Assistant: Neural Networks for Computer Vision (M.Sc Course)

M.Sc Medical Engineering - Medical Image Analysis
Eindhoven University of Technology

  • Specialization: medical image acquisition, machine learning, deep learning and computer vision
  • Thesis title: Deep learning-based anatomy recognition for robot-assisted minimally invasive esophagectomy
    • Description: Developing a novel deeplearning network for anatomy recognition during robot-assisted minially invasive esophagectomy.
  • Journal Publication: Surgical Endoscopy
  • Journal Publication: Surgical Endoscopy

M.Sc Internship
King's College London

  • Project title: Deep Learning Synthesis of White-Blood From Dark-Blood Late Gadolinium Enhancement Cardiac Magnetic Resonance
    • Description: Synthesizing Dark-Blood LGE scans from White-Blood LGE scans using a Generative Adversarial deep learning Network.
    • Grade: 9.0/10
  • Journal Publication: Investigative Radiology

B.Sc Biomedical Engineering
Eindhoven University of Technology