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6 papers · 1 filter
The 4D Human Embryonic Brain Atlas: spatiotemporal atlas generation for rapid anatomical changes
Wietske A. P. Bastiaansen, Melek Rousian, Anton H. J. Koning +4
Early brain development is crucial for lifelong neurodevelopmental health. However, current clinical practice offers limited knowledge of normal embryonic brain anatomy on ultrasou…
Minimally Interactive Segmentation of Soft-Tissue Tumors on CT and MRI using Deep Learning
Douwe J. Spaanderman, Martijn P. A. Starmans, Gonnie C. M. van Erp +9
Segmentations are crucial in medical imaging to obtain morphological, volumetric, and radiomics biomarkers. Manual segmentation is accurate but not feasible in the radiologist's cl…
VIS-MAE: An Efficient Self-supervised Learning Approach on Medical Image Segmentation and Classification
Zelong Liu, Andrew Tieu, Nikhil Patel +9
Artificial Intelligence (AI) has the potential to revolutionize diagnosis and segmentation in medical imaging. However, development and clinical implementation face multiple challe…
MRAnnotator: multi-Anatomy and many-Sequence MRI segmentation of 44 structures
Alexander Zhou, Zelong Liu, Andrew Tieu +16
In this retrospective study, we annotated 44 structures on two datasets: an internal dataset of 1,518 MRI sequences from 843 patients at the Mount Sinai Health System, and an exter…
Automated Segmentation and Volume Measurement of Intracranial Carotid Artery Calcification on Non-Contrast CT
Gerda Bortsova, Daniel Bos, Florian Dubost +4
Purpose: To evaluate a fully-automated deep-learning-based method for assessment of intracranial carotid artery calcification (ICAC). Methods: Two observers manually delineated ICA…
Dynamic Coronary Roadmapping via Catheter Tip Tracking in X-ray Fluoroscopy with Deep Learning Based Bayesian Filtering
Hua Ma, Ihor Smal, Joost Daemen +1
Percutaneous coronary intervention (PCI) is typically performed with image guidance using X-ray angiograms in which coronary arteries are opacified with X-ray opaque contrast agent…