5 papers
Designing UNICORN: a Unified Benchmark for Imaging in Computational Pathology, Radiology, and Natural Language
Michelle Stegeman, Lena Philipp, Fennie van der Graaf +19
Medical foundation models show promise to learn broadly generalizable features from large, diverse datasets. This could be the base for reliable cross-modality generalization and r…
In the Picture: Medical Imaging Datasets, Artifacts, and their Living Review
Amelia Jiménez-Sánchez, Natalia-Rozalia Avlona, Sarah de Boer +26
Datasets play a critical role in medical imaging research, yet issues such as label quality, shortcuts, and metadata are often overlooked. This lack of attention may harm the gener…
Divide to Conquer: A Field Decomposition Approach for Multi-Organ Whole-Body CT Image Registration
Xuan Loc Pham, Mathias Prokop, Bram van Ginneken +1
Image registration is an essential technique for the analysis of Computed Tomography (CT) images in clinical practice. However, existing methodologies are predominantly tailored to…
Attenuation artifact detection and severity classification in intracoronary OCT using mixed image representations
Pierandrea Cancian, Simone Saitta, Xiaojin Gu +10
In intracoronary optical coherence tomography (OCT), blood residues and gas bubbles cause attenuation artifacts that can obscure critical vessel structures. The presence and severi…
Artificial Intelligence to Assess Dental Findings from Panoramic Radiographs -- A Multinational Study
Yin-Chih Chelsea Wang, Tsao-Lun Chen, Shankeeth Vinayahalingam +13
Dental panoramic radiographs (DPRs) are widely used in clinical practice for comprehensive oral assessment but present challenges due to overlapping structures and time constraints…