27 citations · 57 across the 13 of their papers we have counts for
4 papers · 1 filter
From Density to Biopsy Decisions and Malignancy Prediction: A Benchmark Study of Multimodal Large Language Models Against Radiologists in Digital and Contrast-Enhanced Mammography
Ali Abbasian Ardakani, Afshin Mohammadi, Taha Yusuf Kuzan +11
Purpose: To compare four multimodal large language models (MLLMs) with radiologists of varying expertise in breast density assessment, BI-RADS assessment, biopsy candidacy determin…
A deep learning pipeline for PAM50 subtype classification using histopathology images and multi-objective patch selection
Arezoo Borji, Gernot Kronreif, Bernhard Angermayr +6
Breast cancer is a highly heterogeneous disease with diverse molecular profiles. The PAM50 gene signature is widely recognized as a standard for classifying breast cancer into intr…
Deep learning based Non-Rigid Volume-to-Surface Registration for Brain Shift compensation Using Point Cloud
Eashrat Jahan Muniya, Gernot Kronreif, Ander Biguri +2
Soft-tissue deformation remains a major limitation in image-guided neurosurgery, where intra-operative anatomy can deviate substantially from pre-operative imaging due to brain shi…
No-reference based automatic parameter optimization for iterative reconstruction using a novel search space aware crow search algorithm
Poorya MohammadiNasab, Ander Biguri, Philipp Steininger +9
Iterative reconstruction technique's ability to reduce radiation exposure by using fewer projections has attracted significant attention. However, these methods typically require a…