journal of medical imaging
VOL. 5 · NO. 2 | April 2018
CONTENTS IN PROGRESS
Special Section on Image-Guided Procedures, Robotic Interventions, and Modeling
J. Med. Imag. 5(2), 021202 (11 December 2017) doi:10.1117/1.JMI.5.2.021202
TOPICS: Electrodes, Computer programming, Seaborgium, Visualization, Computed tomography, Automatic control, Medical imaging, Signal processing, Ear, Algorithm development
J. Med. Imag. 5(2), 021203 (14 December 2017) doi:10.1117/1.JMI.5.2.021203
TOPICS: Laparoscopy, Liver, Natural surfaces, Data modeling, Surgery, Tissues, Image-guided intervention, Rigid registration, Error analysis, Data conversion
Jiannan Zheng, Shun Miao, Z. Jane Wang, Rui Liao
J. Med. Imag. 5(2), 021204 (13 January 2018) doi:10.1117/1.JMI.5.2.021204
TOPICS: Personal digital assistants, Data modeling, Image registration, X-ray imaging, X-rays, Spine, 3D image processing, Performance modeling, 3D modeling, Transducers
Javad Fotouhi, Clayton Alexander, Mathias Unberath, Giacomo Taylor, Sing Chun Lee, Bernhard Fuerst, Alex Johnson, Greg Osgood, Russell Taylor, Harpal Khanuja, Mehran Armand, Nassir Navab
J. Med. Imag. 5(2), 021205 (4 January 2018) doi:10.1117/1.JMI.5.2.021205
TOPICS: X-rays, X-ray imaging, Cameras, Surgery, Visualization, Augmented reality, 3D image processing, Autoregressive models, Navigation systems, Clouds
Ester Bonmati, Yipeng Hu, Nikhil Sindhwani, Hans Peter Dietz, Jan D’hooge, Dean Barratt, Jan Deprest, Tom Vercauteren
J. Med. Imag. 5(2), 021206 (10 January 2018) doi:10.1117/1.JMI.5.2.021206
TOPICS: Image segmentation, Ultrasonography, Neural networks, Medical imaging, 3D image processing, Network architectures, Convolution, Distance measurement, Convolutional neural networks, Biometrics
Peng Jin, Niek van Wieringen, Maarten C. C. M. Hulshof, Arjan Bel, Tanja Alderliesten
J. Med. Imag. 5(2), 021207 (12 January 2018) doi:10.1117/1.JMI.5.2.021207
TOPICS: Tumors, Computed tomography, Visibility, Image quality, Radiotherapy, Image registration, Silicon, Visualization, Collimators, Gold
Zhiqiang Tian, Lizhi Liu, Zhenfeng Zhang, Baowei Fei
J. Med. Imag. 5(2), 021208 (17 January 2018) doi:10.1117/1.JMI.5.2.021208
TOPICS: Image segmentation, Prostate, Magnetic resonance imaging, Convolutional neural networks, Data modeling, Medical imaging, Prostate cancer, Image classification, Magnetism, Ultrasonography
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