activity
20242026
collaborators

9 papers

physics.med-ph2026

CBCT-IQ: A Publicly Available Annotated Cone-Beam CT Dataset for Image Quality Assessment and Benchmarking

Sepideh Hatamikia, Anna Breger, Clemens Karner +14

Medical image quality plays a critical role in diagnostic accuracy, especially in X-ray-based imaging modalities such as cone-beam computed tomography (CBCT), where image quality m…

cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

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…

math.NA2025

Real-time CBCT reconstructions using Krylov solvers in repeated scanning procedures

Fred Hastings, S M Ragib Shahriar Islam, Malena Sabaté Landman +3

This work introduces a new efficient iterative solver for the reconstruction of real-time cone-beam computed tomography (CBCT), which is based on the Prior Image Constrained Compre…

eess.IV2025

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…