This page shows the publications co-authored by Tina Kapur and Andrey Fedorov.
Automatic Needle Segmentation and Localization in MRI With 3-D Convolutional Neural Networks: Application to MRI-Targeted Prostate Biopsy. IEEE Trans Med Imaging. 2019 04; 38(4):1026-1036.
Classification of Clinical Significance of MRI Prostate Findings Using 3D Convolutional Neural Networks. Proc SPIE Int Soc Opt Eng. 2017 Feb 11; 10134.
Increasing the impact of medical image computing using community-based open-access hackathons: The NA-MIC and 3D Slicer experience. Med Image Anal. 2016 10; 33:176-180.
Bolus arrival time and its effect on tissue characterization with dynamic contrast-enhanced magnetic resonance imaging. J Med Imaging (Bellingham). 2016 Jan; 3(1):014503.
Open-source image registration for MRI-TRUS fusion-guided prostate interventions. Int J Comput Assist Radiol Surg. 2015 Jun; 10(6):925-34.
Prototype Design and Phantom Evaluation of a Device for Co-registered MRI/TRUS Imaging of the Prostate. Clin Image Based Proced. 2014; 8361:125-133.
DeepInfer: Open-Source Deep Learning Deployment Toolkit for Image-Guided Therapy. Proc SPIE Int Soc Opt Eng. 2017 Feb 11; 10135.
Segmentation of prostate from ultrasound images using level sets on active band and intensity variation across edges. Med Phys. 2016 Jun; 43(6):3090-3103.
Location of local recurrence after MRI-guided partial prostate brachytherapy targeting only the peripheral zone: Implications for focal therapy. J Clin Oncol. 2013 Feb 20; 31(6_suppl):149.
GBM volumetry using the 3D Slicer medical image computing platform. Sci Rep. 2013; 3:1364.
Two solutions for registration of ultrasound to MRI for image-guided prostate interventions. Annu Int Conf IEEE Eng Med Biol Soc. 2012; 2012:1129-32.
The connection strength for co-authors is the sum of the scores for each of their shared publications.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.