AI in pathology - From diagnostic to advanced applications
In my presentation I will share the experience of the Institute of Pathology (University Hospital Cologne) concerning development of clinical-grade AI tools for pathology diagnostics, especially in the domain of malignant tumors.
Sep 2, 2024
Domain-specific methods for joint embedding self-supervised learning with ultrasound images
Join the talk at: https://us04web.zoom.us/j/77917991926?pwd=DVVp8yRWGKuXH7cRubIesPYTccprE9.1 Self-supervised learning (SSL) is a strategy for addressing the paucity of labelled data in medical imaging by learning representations from unlabelled images. Contrastive and non-contrastive SSL methods learn representations that are similar for pairs of related images.
Aug 26, 2024
When (Not) To Pool Data (or, how to alleviate the dirty little secret of machine learning)
Suppose we wish to develop a machine learning model for our favourite medical application, e.g. for detecting a rare disease, or suggesting individualized treatment such as for decreasing cholestorol levels. To do so, we need training data.
Jun 24, 2024
Advancing Interventional Healthcare One Simulation at a Time
Image-guided surgeries are complex, highly inaccessible environments for researchers hoping to improve interventional healthcare. However, simulations offer readily available, easily controlled environments for replicating these surgeries in a scalable fashion. By enhancing learning- and physics-based simulations, we unlock new possibilities for embodied systems such as automated algorithms and immersive virtual reality (VR) experiences.
Jun 3, 2024
Using AI to improve pulmonary hypertension assessment - why we need machines
This talk will focus on machine learning applications that have improved our understanding of pulmonary hypertension. About Samer: Dr Samer Alabed is a Clinical Lecturer in Radiology (Assistant Professor) at the University of Sheffield.
May 13, 2024
Optimierung der online adaptiven Strahlentherapie durch unüberwachte Bildfusionsalgorithmen
Die online adaptive Strahlentherapie (ART) ist eine aktuelle Weiterentwicklung der Strahlentherapie zur schnellen Adaptation des Bestrahlungsplans an die Anatomie des Tages, festgestellt mittels CBCT oder MRI auf dem Behandlungstisch zu Beginn einer Fraktion.
May 6, 2024
Causally Aware Machine Learning
Over the years, machine learning (ML) has significantly advanced in efficiently uncovering intricate patterns within extensive datasets. While ML algorithms adeptly detect patterns and correlations within data, their primary focus is on capturing statistical relationships between variables.
Apr 15, 2024
Discovering Latent Causes and Memory Modification ; A Computational Approach Using Symmetry and Geometry
We learn from our experiences, even though they are never exactly the same. This implies that we need to assess their similarity to apply what we have learned from one experience to another.
Dec 11, 2023