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PhD Defense: Javier Gamazo Tejero Tackles Data Limitations in Medical AI

PhD Defense: Javier Gamazo Tejero Tackles Data Limitations in Medical AI

On December 3, 2024, Javier Gamazo Tejero successfully defended his PhD thesis titled: Overcoming Data Limitations through Optimization: From Annotation Strategies to Real-World Application. In this work, Javier addressed the problem of label scarcity in AI from multiple points of view, focusing on medical AI applications in ophthalmology. His dissertation proposed innovative solutions across the machine learning pipeline, including optimal budget allocation for image labeling, domain adaptation methods for semantic segmentation, and techniques for biomarker localization in Optical Coherence Tomography with minimal annotations. Beyond ophthalmology, these contributions have broader implications for other fields that also need expert annotations, emphasizing AI as a tool to complement human expertise. Congratulations to Dr. Javier Gamazo Tejero for his impactful contributions to medical AI and beyond!
People AIMI – AI in Medical Imaging Artificial Intelligence

03. December 2024

PhD Defense: Lars Doorenbos Advances Computer Vision with Reliable Processing of Uncertainty

On 15 November 2024, Lars Doorenbos successfully defended his PhD thesis, titled Reliably Processing Unexpected and Ambiguous Images in Computer Vision. His work addresses one of the most critical challenges in deploying machine learning systems in real-world, safety-critical environments: managing uncertainty effectively. Congratulations to Dr. Lars Doorenbos for his outstanding work and contributions to advancing the field of computer vision!
People AIMI – AI in Medical Imaging Artificial Intelligence

15. November 2024

PhD Defense: Lukas Zbinden Advances Non-Invasive Liver MRI Analysis with Cutting-Edge AI Techniques

On 31 October 2024, Lukas Zbinden successfully defended his PhD thesis in Biomedical Engineering. His groundbreaking work, titled Advances in Automated Non-Invasive Liver MRI Phenotyping and Stochastic Segmentation , addresses key challenges in liver MRI analysis, presenting innovative solutions to improve the accuracy and efficiency of this critical diagnostic tool. Congratulations to Dr. Lukas Zbinden on this significant achievement!
People AIMI – AI in Medical Imaging Artificial Intelligence

31. October 2024

PhD Defense: Stephan Schraivogel Develops Radiation-Free Solution for Cochlear Implant Positioning

On 11 November 2024, Stephan Schraivogel successfully defended his PhD thesis in Biomedical Engineering, titled Impedance Telemetry-Based Insertion Depth Estimation for Cochlear Implants – From Research to Clinical Application. His innovative work introduces a safe, efficient, and cost-effective method to determine cochlear implant electrode positions without the need for radiation-based imaging. Congratulations to Dr. Stephan Schraivogel on his successful defence and the translation of his research into clinical practice!
People HRL – Hearing Research Laboratory Surgical Technologies

11. November 2024

Bern Biomedical Engineering Network - From Vision to Startup

Over 70 attendees from the Bern Biomedical Engineering Network joined us at sitem-insel, Bern, to explore the journey from startup vision to market success. This year’s topic, “From Vision to Startup,” highlighted Bern’s exceptional support ecosystem, with resources from the Sitem StartUp Club (SSC), Innovation Office, Euresearch, and Innosuisse. Attendees gained insight and resources for new ventures, learned about inspiring success stories and made great connections through networking. A big thank you to all partners, speakers, and attendees who made the day a success!
Events

07. November 2024

PhD thesis defense Prisca Dotti

The ARTORG Center congratulates Prisca Dotti for her successful PhD thesis defense on 18 July 2024! At the Artificial Intelligence in Medical Imaging group, Prisca worked on a deep learning-based method for automatically detecting and classifying local Ca²⁺ release events in cardiomyocytes, demonstrating high accuracy and robustness under the title “Detection, Localization, and Classification of Subcellular Ca²⁺ Release Events: Using a Deep Learning Approach.” The model successfully detects over 75% of events, with performance comparable to expert human annotations. This approach offers a significant, time-saving alternative to traditional labour-intensive analysis methods.
People AIMI – AI in Medical Imaging Artificial Intelligence

27. July 2024

PhD thesis defense Raphael Rätz

The ARTORG Center congratulates Raphael Rätz for his successful PhD thesis defense on 8 July 2024! At the Motor Learning and Neurorehabilitation group, Raphael developed and tested two complementary, easy-to-use robotic devices to improve upper-limb rehabilitation after a stroke under the title Novel Clinical-Driven Robotic Devices for Sensorimotor Training . The portable hand trainer is simple and intuitive, enabling patients to increase their therapy dosage through unsupervised training at home. The Lambda.3+ offers an unprecedented quality of sensory information in gamified rehabilitation exercises thanks to a novel physics engine-based haptic rendering approach.
People MLN – Motor Learning & Neurorehabilitation (former) Rehabilitation & Neural Engineering

17. July 2024

PhD thesis defense Ioannis Papathanail

Congratulations to Ioannis Papathanail for successfully defending his PhD thesis “Machine learning-based system for dietary assessment” on 26 June 2024! As part of the AI in Health and Nutrition lab, Ioannis has investigated ways to use AI technology in mobile health applications to promote dietary monitoring and assessment as a cornerstone for a healthier and more balanced lifestyle, but also to avoid malnutrition or adiposity or deal with conditions such as diabetes.
People AIHN – AI in Health and Nutrition Artificial Intelligence

01. July 2024

Amith Kamath wins Falling Walls Fribourg

With his project to improve the lives of patients with glioblastoma through AI-enhanced faster radiotherapy onset, Amith Kamath, PhD at the Medical Image Analysis lab, has won the Falling Walls Competition in Fribourg. He will represent Switzerland at the Falling Walls Science Summit and Final in Berlin in November. The group is investigating ways to automate contouring of brain tumors and organs at risk as well as dose planning to significantly shorten the time from diagnosis to treatment from currently 2 weeks to instant radiotherapy .
Grants & Awards MIA – Medical Image Analysis Artificial Intelligence

28. June 2024

PhD thesis defense Aleksandra Ivanovic

Congratulations to Aleksandra Ivanovic for successfully defending her PhD thesis “Hearing under the Lens: Exploring the Human Middle Ear with Synchrotron-based Phase-contrast Microtomography” on 5 June. Her research aimed to shine a light on the intricate nanometer-to-micrometer movements of tiny anatomical structures within the temporal bone to enable medical research and ultimately improve the treatment outcomes for conductive hearing loss.
People HRL – Hearing Research Laboratory Biomechanics

13. June 2024

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