Banafshe Felfeliyan

Vessel extraction in X-ray angiograms using deep learning

Ebrahim Nasr-Esfahani, Shadrokh Samavi, Nader Karimi et al. · 2016 · 71 citations

Convolutional Neural Network, Engineering, Machine Learning +19

Improved-Mask R-CNN: Towards an accurate generic MSK MRI instance segmentation platform (data from the Osteoarthritis Initiative)

Banafshe Felfeliyan, Abhilash Rakkunedeth Hareendranathan, Gregor Kuntze et al. · Computerized Medical Imaging and Graphics · 2022 · 36 citations · Full text

Convolutional Neural Network, Image Analysis, Machine Learning +13

Liver Segmentation in Abdominal CT Images Using Probabilistic Atlas and Adaptive 3D Region Growing

Shima Rafiei, Nader Karimi, Behzad Mirmahboub et al. · 2019 · 22 citations

Engineering, Atlas Intensity Distribution, Automatic Liver Segmentation +22

Self-supervised-RCNN for medical image segmentation with limited data annotation

Banafshe Felfeliyan, Nils D. Forkert, Abhilash Rakkunedeth Hareendranathan et al. · Computerized Medical Imaging and Graphics · 2023 · 22 citations

Medical Image Segmentation, Image Analysis, Engineering +10

Volumetric quantitative measurement of hip effusions by manual versus automated artificial intelligence techniques: An OMERACT preliminary validation study

Jacob L. Jaremko, Banafshe Felfeliyan, Abhilash Rakkunedeth Hareendranathan et al. · Seminars in Arthritis and Rheumatism · 2021 · 11 citations

Volumetric Quantitative Measurement, Engineering, Medical Imaging +13