output
20202023
most citedImproved-Mask R-CNN: Towards an Accurate Generic MSK MRI instance segmentation platform (Data from the Osteoarthritis Initiative)

42 citations

7 papers

q-bio.QM2023★ 8 cited

ORMIR_XCT: A Python package for high resolution peripheral quantitative computed tomography image processing

Michael T. Kuczynski, Nathan J. Neeteson, Kathryn S. Stok +9

High resolution peripheral quantitative computed tomography (HR-pQCT) is an imaging technique capable of imaging trabecular bone in-vivo. HR-pQCT has a wide range of applications,…

physics.bio-ph2023★ 1 cited

Tibial Strains are Sensitive to Speed, but not Grade, Perturbations During Running

Michael Baggaley, Ifaz Haider, Olivia Bruce +2

A fatigue-failure process is hypothesized to govern the development of tibial stress fractures, where bone damage is highly dependent on the peak strain magnitude. To date, much of…

cs.CV2022★ 5 cited

Weakly Supervised Medical Image Segmentation With Soft Labels and Noise Robust Loss

Banafshe Felfeliyan, Abhilash Hareendranathan, Gregor Kuntze +4

Recent advances in deep learning algorithms have led to significant benefits for solving many medical image analysis problems. Training deep learning models commonly requires large…

eess.IV2022★ 16 cited

Fast and Robust Femur Segmentation from Computed Tomography Images for Patient-Specific Hip Fracture Risk Screening

Pall Asgeir Bjornsson, Alexander Baker, Ingmar Fleps +7

Osteoporosis is a common bone disease that increases the risk of bone fracture. Hip-fracture risk screening methods based on finite element analysis depend on segmented computed to…

eess.IV2021★ 42 cited

Improved-Mask R-CNN: Towards an Accurate Generic MSK MRI instance segmentation platform (Data from the Osteoarthritis Initiative)

Banafshe Felfeliyan, Abhilash Hareendranathan, Gregor Kuntze +2

Objective assessment of Magnetic Resonance Imaging (MRI) scans of osteoarthritis (OA) can address the limitation of the current OA assessment. Segmentation of bone, cartilage, and…

eess.IV2020★ 4 cited

Artifacts of Quantization in Distance Transforms

Bryce A. Besler, Tannis D. Kemp, Nils D. Forkert +1

Distance transforms are a central tool in shape analysis, morphometry, and curve evolution problems. This work describes and investigates an artifact present in distance maps compu…

eess.IV2020★ 6 cited

Robust Self-Supervised Learning of Deterministic Errors in Single-Plane (Monoplanar) and Dual-Plane (Biplanar) X-ray Fluoroscopy

Jacky C. K. Chow, Steven K. Boyd, Derek D. Lichti +1

Fluoroscopic imaging that captures X-ray images at video framerates is advantageous for guiding catheter insertions by vascular surgeons and interventional radiologists. Visualizin…