Machine Learning for Stuttering Detection and Classification in Stuttering Therapy

Hybrid Machine Learning Approaches for Image Reconstruction and Processing in Low-Dose Computed Tomography Diagnostic decisions in clinical workflows often hinge on the interpretation of medical images. The inherent quality of these images plays a critical role in discerning relevant anatomical ...

Join us at the Stroke Workshop on Imaging and Treatment CHallenges (SWITCH) 2024 which is hosted at the MICCAI24 conference in Marrakesh. The main goal of the workshop is bringing clinicians and engineers closer together to overcome relevant practical challenges when treating & diagnosing strok...

At this year's ISMRM conference in Singapore, members of the Pattern Recognition Lab achieved significant recognition. Luis Carlos Rivera Monroy, Lukas Bolay and Luise Brock presented their research through well-received digital posters. Additionally, Laura Pfaff and Julian Hossbach presented their...

The International Workshop on Multiscale Multimodal Medical Imaging (MMMI) and the International Workshop on Machine Learning for Multimodal/Multisensor Healthcare Data (ML4MHD) will be featured at the 27th International Conference on Medical Image Computing and Computer Assisted Intervention (MICC...

We are very glad to welcome our students to the Summer Semester 2024! Again, we welcome many students to our lectures and we are proud to report the following numbers for our courses: Deep Learning: 850Cognitive Neuroscience for AI Developers: 490Deep Learning for Beginners: 190Introduction to M...

On April 22nd, the Pattern Recognition Lab and the Medical AI & Computer Vision Lab from EWHA Womans University joined forces for a workshop held on the EWHA campus in Seoul, South Korea. With a total of 10 presentations, the workshop covered a diverse array of topics spanning medical image ...

Come join us for an exciting in-person event featuring John Boone, PhD as he shares his extensive knowledge and experience in breast CT research. Discover the evolution of this technology over the past three decades, from its technical development to its current applic...

It's a great pleasure to welcome Moti Freiman in our lab for an exciting presentation bringing together machine learning and physics for medical image analysis. Title: Physically-primed Neural Networks in Quantitative Medical Image AnalysisDate: March 27th 2024, 9:30Room: 02.133-113, Martensstr....