27 citations · 57 across the 13 of their papers we have counts for
5 papers · 1 filter
An Integrated Optimization and Deep Learning Pipeline for Predicting Live Birth Success in IVF Using Feature Optimization and Transformer-Based Models
Arezoo Borji, Hossam Haick, Birgit Pohn +7
In vitro fertilization (IVF) is a widely utilized assisted reproductive technology, yet predicting its success remains challenging due to the multifaceted interplay of clinical, de…
A Review on the Integration of Artificial Intelligence and Medical Imaging in IVF Ovarian Stimulation
Jana Zakall, Birgit Pohn, Antonia Graf +6
Artificial intelligence (AI) has emerged as a powerful tool to enhance decision-making and optimize treatment protocols in in vitro fertilization (IVF). In particular, AI shows sig…
TIGRE v3: Efficient and easy to use iterative computed tomographic reconstruction toolbox for real datasets
Ander Biguri, Tomoyuki Sadakane, Reuben Lindroos +11
Computed Tomography (CT) has been widely adopted in medicine and it is increasingly being used in scientific and industrial applications. Parallelly, research in different mathemat…
Advanced Hybrid Deep Learning Model for Enhanced Classification of Osteosarcoma Histopathology Images
Arezoo Borji, Gernot Kronreif, Bernhard Angermayr +1
Recent advances in machine learning are transforming medical image analysis, particularly in cancer detection and classification. Techniques such as deep learning, especially convo…
A study of why we need to reassess full reference image quality assessment with medical images
Anna Breger, Ander Biguri, Malena Sabaté Landman +11
Image quality assessment (IQA) is indispensable in clinical practice to ensure high standards, as well as in the development stage of machine learning algorithms that operate on me…