Robert Rohling
Robert Rohling
Electrical and Computer Engineering, University of British Columbia, V6T 1Z4
Verified email at - Homepage
Cited by
Cited by
Rapid calibration for 3-D freehand ultrasound
RW Prager, RN Rohling, AH Gee, L Berman
Ultrasound in medicine & biology 24 (6), 855-869, 1998
Hand-held steerable needle device
S Okazawa, R Ebrahimi, J Chuang, SE Salcudean, R Rohling
IEEE/ASME Transactions on Mechatronics 10 (3), 285-296, 2005
A comparison of freehand three-dimensional ultrasound reconstruction techniques
R Rohling, A Gee, L Berman
Medical image analysis 3 (4), 339-359, 1999
Three-dimensional spatial compounding of ultrasound images
R Rohling, A Gee, L Berman
Medical Image Analysis 1 (3), 177-193, 1997
Automatic registration of 3-D ultrasound images
RN Rohling, AH Gee, L Berman
Ultrasound in medicine & biology 24 (6), 841-854, 1998
Lumbar spine segmentation using a statistical multi-vertebrae anatomical shape+ pose model
A Rasoulian, R Rohling, P Abolmaesumi
IEEE transactions on medical imaging 32 (10), 1890-1900, 2013
Steerable needle
SE Salcudean, RN Rohling, SH Okazawa, AR Ebrahimi
US Patent 7,662,128, 2010
Bone surface localization in ultrasound using image phase-based features
I Hacihaliloglu, R Abugharbieh, AJ Hodgson, RN Rohling
Ultrasound in medicine & biology 35 (9), 1475-1487, 2009
Comparison of relative accuracy between a mechanical and an optical position tracker for image-guided neurosurgery
R Rohling, P Munger, JM Hollerbach, T Peters
Journal of image guided surgery 1 (1), 30-34, 1995
Automatic quality assessment of echocardiograms using convolutional neural networks: feasibility on the apical four-chamber view
AH Abdi, C Luong, T Tsang, G Allan, S Nouranian, J Jue, D Hawley, ...
IEEE transactions on medical imaging 36 (6), 1221-1230, 2017
Methods for segmenting curved needles in ultrasound images
SH Okazawa, R Ebrahimi, J Chuang, RN Rohling, SE Salcudean
Medical image analysis 10 (3), 330-342, 2006
Identifying the mechanical properties of tissue by ultrasound strain imaging
E Turgay, S Salcudean, R Rohling
Ultrasound in medicine & biology 32 (2), 221-235, 2006
Single-operator real-time ultrasound-guidance to aim and insert a lumbar epidural needle
DT MEng, AA Kamani, E Al-Attas, S Massey
Canadian Journal of Anesthesia 57 (4), 313, 2010
Enhancement of needle visibility in ultrasound-guided percutaneous procedures
S Cheung, R Rohling
Ultrasound in medicine & biology 30 (5), 617-624, 2004
Ultrasound RF time series for classification of breast lesions
N Uniyal, H Eskandari, P Abolmaesumi, S Sojoudi, P Gordon, L Warren, ...
IEEE transactions on medical imaging 34 (2), 652-661, 2014
Fast automatic vertebrae detection and localization in pathological ct scans-a deep learning approach
A Suzani, A Seitel, Y Liu, S Fels, RN Rohling, P Abolmaesumi
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2015: 18th …, 2015
SLIDE: automatic spine level identification system using a deep convolutional neural network
J Hetherington, V Lessoway, V Gunka, P Abolmaesumi, R Rohling
International journal of computer assisted radiology and surgery 12, 1189-1198, 2017
Tissue tracking and registration for image-guided surgery
MC Yip, DG Lowe, SE Salcudean, RN Rohling, CY Nguan
IEEE transactions on medical imaging 31 (11), 2169-2182, 2012
Fabrication and testing of polymer-based capacitive micromachined ultrasound transducers for medical imaging
CD Gerardo, E Cretu, R Rohling
Microsystems & nanoengineering 4 (1), 19, 2018
Adaptive augmentation of medical data using independently conditional variational auto-encoders
M Pesteie, P Abolmaesumi, RN Rohling
IEEE transactions on medical imaging 38 (12), 2807-2820, 2019
The system can't perform the operation now. Try again later.
Articles 1–20