Validation of Catheter Segmentation for MR-Guided Gynecologic Cancer Brachytherapy. - Guillaume Pernelle; Alireza Mehrtash; Lauren Barber; Antonio Damato; Wei Wang; Ravi Teja Seethamraju; Ehud J. Schmidt; Robert A. Cormack; William M. Wells III; Akila N. Viswanathan; Tina Kapur (MICCAI (3), 2013)

EM-navigated catheter placement for gynecologic brachytherapy: an accuracy study. - Alireza Mehrtash; Antonio Damato; Guillaume Pernelle; Lauren Barber; Nabgha Farhat; Akila N. Viswanathan; Robert A. Cormack; Tina Kapur (Image-Guided Procedures, 2014)

Corticospinal tract modeling for neurosurgical planning by tracking through regions of peritumoral edema and crossing fibers using two-tensor unscented Kalman filter tractography. - Zhenrui Chen; Yanmei Tie; Olutayo I. Olubiyi; Fan Zhang 013; Alireza Mehrtash; Laura Rigolo; Pegah Kahali; Isaiah Norton; Ofer Pasternak; Yogesh Rathi; Alexandra J. Golby; Lauren J. O'Donnell (Int. J. Comput. Assist. Radiol. Surg., 2016)

Classification of clinical significance of MRI prostate findings using 3D convolutional neural networks. - Alireza Mehrtash; Alireza Sedghi; Mohsen Ghafoorian; Mehdi Taghipour; Clare M. Tempany; William M. Wells III; Tina Kapur; Parvin Mousavi; Purang Abolmaesumi; Andriy Fedorov (Computer-Aided Diagnosis, 2017)

Transfer Learning for Domain Adaptation in MRI: Application in Brain Lesion Segmentation. - Mohsen Ghafoorian; Alireza Mehrtash; Tina Kapur; Nico Karssemeijer; Elena Marchiori; Mehran Pesteie; Charles R. G. Guttmann; Frank-Erik de Leeuw; Clare M. Tempany; Bram van Ginneken; Andriy Fedorov; Purang Abolmaesumi; et al. (MICCAI (3), 2017)

DeepInfer: open-source deep learning deployment toolkit for image-guided therapy. - Alireza Mehrtash; Mehran Pesteie; Jorden Hetherington; Peter A. Behringer; Tina Kapur; William M. Wells III; Robert Rohling; Andriy Fedorov; Purang Abolmaesumi (Image-Guided Procedures, 2017)

Automatic high resolution segmentation of the prostate from multi-planar MRI. - Anneke Meyer; Alireza Mehrtash; Marko Rak; Daniel Schindele; Martin Schostak; Clare M. Tempany; Tina Kapur; Purang Abolmaesumi; Andriy Fedorov; Christian Hansen 001 (ISBI, 2018)

Using the variogram for vector outlier screening: application to feature-based image registration. - Jie Luo 003; Sarah F. Frisken; Inês Machado; Miaomiao Zhang 002; Steve Pieper 001; Polina Golland; Matthew Toews; Prashin Unadkat; Alireza Sedghi; Haoyin Zhou; Alireza Mehrtash; Frank Preiswerk; et al. (Int. J. Comput. Assist. Radiol. Surg., 2018)

Semi-Supervised Deep Metrics for Image Registration. - Alireza Sedghi; Jie Luo 003; Alireza Mehrtash; Steve Pieper 001; Clare M. Tempany; Tina Kapur; Parvin Mousavi; William M. Wells III (CoRR, 2018)

Tesseract-medical imaging: open-source browser-based platform for artificial intelligence deployment in medical imaging. - Alireza Sedghi; Soheil Hamidi; Alireza Mehrtash; Erik Ziegler; Clare M. Tempany; Steve Pieper 001; Tina Kapur; Parvin Mousavi (Image-Guided Procedures, 2019)

Semi-supervised image registration using deep learning. - Alireza Sedghi; Jie Luo 003; Alireza Mehrtash; Steve Pieper 001; Clare M. Tempany; Tina Kapur; Parvin Mousavi; William M. Wells III (Image-Guided Procedures, 2019)

Deep Information Theoretic Registration. - Alireza Sedghi; Jie Luo 003; Alireza Mehrtash; Steve Pieper 001; Clare M. Tempany; Tina Kapur; Parvin Mousavi; William M. Wells III (CoRR, 2019)

Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge. - Hugo J. Kuijf; Adrià Casamitjana; D. Louis Collins; Mahsa Dadar; Achilleas Georgiou; Mohsen Ghafoorian; Dakai Jin; April Khademi; Jesse Knight; Hongwei Li 004; Xavier Lladó; J. Matthijs Biesbroek; et al. (IEEE Trans. Medical Imaging, 2019)

Automatic Needle Segmentation and Localization in MRI With 3-D Convolutional Neural Networks: Application to MRI-Targeted Prostate Biopsy. - Alireza Mehrtash; Mohsen Ghafoorian; Guillaume Pernelle; Alireza Ziaei; Friso G. Heslinga; Kemal Tuncali; Andriy Fedorov; Ron Kikinis; Clare M. Tempany; William M. Wells III; Purang Abolmaesumi; Tina Kapur (IEEE Trans. Medical Imaging, 2019)

PEP: Parameter Ensembling by Perturbation. - Alireza Mehrtash; Purang Abolmaesumi; Polina Golland; Tina Kapur; Demian Wassermann; William M. Wells III (NeurIPS, 2020)

Improving detection of prostate cancer foci via information fusion of MRI and temporal enhanced ultrasound. - Alireza Sedghi; Alireza Mehrtash; Amoon Jamzad; Amel Amalou; William M. Wells III; Tina Kapur; Jin Tae Kwak; Baris Turkbey; Peter L. Choyke; Peter A. Pinto; Bradford J. Wood; Sheng Xu 001; et al. (Int. J. Comput. Assist. Radiol. Surg., 2020)

Deep Learning in Archaeological Remote Sensing: Automated Qanat Detection in the Kurdistan Region of Iraq. - Mehrnoush Soroush; Alireza Mehrtash; Emad Khazraee; Jason A. Ur (Remote. Sens., 2020)

Open Source Platform for Transperineal In-Bore MRI-Guided Targeted Prostate Biopsy. - Christian Herz; Kemal Tuncali; Andriy Fedorov; Kyle MacNeil; Peter A. Behringer; Junichi Tokuda; Alireza Mehrtash; Parvin Mousavi; Ron Kikinis; Fiona M. Fennessy; Clare M. Tempany (IEEE Trans. Biomed. Eng., 2020)

Confidence Calibration and Predictive Uncertainty Estimation for Deep Medical Image Segmentation. - Alireza Mehrtash; William M. Wells III; Clare M. Tempany; Purang Abolmaesumi; Tina Kapur (IEEE Trans. Medical Imaging, 2020)

Prostate Cancer Diagnosis With Sparse Biopsy Data And In Presence Of Location Uncertainty. - Alireza Mehrtash; Tina Kapur; Clare M. Tempany; Purang Abolmaesumi; William M. Wells III (ISBI, 2021)

Lung Nodule Malignancy Prediction in Sequential CT Scans: Summary of ISBI 2018 Challenge. - Yoganand Balagurunathan; Andrew Beers; Michael F. McNitt-Gray; Lubomir M. Hadjiiski; Sandy Napel; Dmitry B. Goldgof; Gustavo Pérez; Pablo Arbeláez; Alireza Mehrtash; Tina Kapur; Ehwa Yang; Jung Won Moon; et al. (IEEE Trans. Medical Imaging, 2021)

Deep Learning for Detection and Localization of B-Lines in Lung Ultrasound. - Ruben T. Lucassen; Mohammad H. Jafari 001; Nicole M. Duggan; Nick Jowkar; Alireza Mehrtash; Chanel E. Fischetti; Denie Bernier; Kira Prentice; Erik P. Duhaime; Mike Jin; Purang Abolmaesumi; Friso G. Heslinga; et al. (IEEE J. Biomed. Health Informatics, 2023)

CardioVision: A fully automated deep learning package for medical image segmentation and reconstruction generating digital twins for patients with aortic stenosis. - Amir Rouhollahi; James Noel Willi; Sandra Haltmeier; Alireza Mehrtash; Ross Straughan; Hoda Javadikasgari; Jonathan Brown; Akinobu Itoh; Kim I. de la Cruz; Elena Aikawa; Elazer R. Edelman; Farhad Rikhtegar Nezami (Comput. Medical Imaging Graph., 2023)

Evaluation of mediastinal lymph node segmentation of heterogeneous CT data with full and weak supervision. - Alireza Mehrtash; Erik Ziegler; Tagwa Idris; Bhanusupriya Somarouthu; Trinity Urban; Ann S. LaCasce; Heather Jacene; Annick D. Van den Abbeele; Steve Pieper 001; Gordon J. Harris; Ron Kikinis; Tina Kapur (Comput. Medical Imaging Graph., 2024)