Learning to detect anatomical landmarks of the pelvis in X-rays from arbitrary views

Integrating geometric configuration and appearance information into a unified framework for anatomical landmark localization

(2018) Martin Urschler et al.   MEDICAL IMAGE ANALYSIS

Multi-Scale Deep Reinforcement Learning for Real-Time 3D-Landmark Detection in CT Scans

(2017) Florin Cristian Ghesu et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

A survey on deep learning in medical image analysis

(2017) Geert Litjens et al.   MEDICAL IMAGE ANALYSIS

Reduction of Radiation Exposure From C-Arm Fluoroscopy During Orthopaedic Trauma Operations With Introduction of Real-Time Dosimetry

(2016) Rita Baumgartner et al.   JOURNAL OF ORTHOPAEDIC TRAUMA

Epipolar Consistency in Transmission Imaging

(2015) Andre Aichert et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Evaluation and Comparison of Anatomical Landmark Detection Methods for Cephalometric X-Ray Images: A Grand Challenge

(2015) Ching-Wei Wang et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

A complete-pelvis segmentation framework for image-free total hip arthroplasty (THA): methodology and clinical study

(2014) Weiguo Xie et al.   International Journal of Medical Robotics and Computer Assisted Surgery

Pelvic Ring Fractures: What the Orthopedic Surgeon Wants to Know

(2014) Bharti Khurana et al.   RADIOGRAPHICS

3D Slicer as an image computing platform for the Quantitative Imaging Network

(2012) Andriy Fedorov et al.   MAGNETIC RESONANCE IMAGING

Development of a semi-automated method for mitral valve modeling with medial axis representation using 3D ultrasound

(2012) Alison M. Pouch et al.   MEDICAL PHYSICS

Worldwide Survey on the Use of Navigation in Spine Surgery

(2012) Roger Härtl et al.   World Neurosurgery

A review of 3D/2D registration methods for image-guided interventions

(2010) P. Markelj et al.   MEDICAL IMAGE ANALYSIS

Statistical shape models for 3D medical image segmentation: A review

(2009) Tobias Heimann et al.   MEDICAL IMAGE ANALYSIS

Four-Chamber Heart Modeling and Automatic Segmentation for 3-D Cardiac CT Volumes Using Marginal Space Learning and Steerable Features

(2008) Yefeng Zheng et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING