Alireza Mehrtash

28 papers A* 1Journal 18Unranked 9
YearRankTypeTitle / Venue / Authors
2024 J jnl
Evaluation of mediastinal lymph node segmentation of heterogeneous CT data with full and weak supervision.
Comput. Medical Imaging Graph.
Alireza Mehrtash, Erik Ziegler, Tagwa Idris, Bhanusupriya Somarouthu, Trinity Urban, Ann S. LaCasce, Heather Jacene, Annick D. Van den Abbeele, Steve Pieper, Gordon J. Harris, Ron Kikinis, Tina Kapur
2023 J jnl
CardioVision: A fully automated deep learning package for medical image segmentation and reconstruction generating digital twins for patients with aortic stenosis.
Comput. Medical Imaging Graph.
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
2023 J jnl
Deep Learning for Detection and Localization of B-Lines in Lung Ultrasound.
IEEE J. Biomed. Health Informatics
Ruben T. Lucassen, Mohammad H. Jafari, Nicole M. Duggan, Nick Jowkar, Alireza Mehrtash, Chanel E. Fischetti, Denie Bernier, Kira Prentice, Erik P. Duhaime, Mike Jin, Purang Abolmaesumi, Friso G. Heslinga, Mitko Veta, Maria Alejandra Duran Mendicuti, Sarah F. Frisken, Paul B. Shyn, Alexandra J. Golby, Edward W. Boyer, William M. Wells III, Andrew J. Goldsmith, Tina Kapur
2021 J jnl
Lung Nodule Malignancy Prediction in Sequential CT Scans: Summary of ISBI 2018 Challenge.
IEEE Trans. Medical Imaging
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, Gabriel Bernardino Perez, Ricard Delgado-Gonzalo, Mohammad Mehdi Farhangi, Amir A. Amini, Renkun Ni, Xue Feng, Aditya Bagari, Kiran Vaidhya, Benjamin Veasey, Wiem Safta, Hichem Frigui, Joseph Enguehard, Ali Gholipour, Laura Silvana Castillo, Laura Alexandra Daza, Paul F. Pinsky, Jayashree Kalpathy-Cramer, Keyvan Farahani
2021 — conf
Prostate Cancer Diagnosis With Sparse Biopsy Data And In Presence Of Location Uncertainty.
ISBI
Alireza Mehrtash, Tina Kapur, Clare M. Tempany, Purang Abolmaesumi, William M. Wells III
2020 J jnl
Confidence Calibration and Predictive Uncertainty Estimation for Deep Medical Image Segmentation.
IEEE Trans. Medical Imaging
Alireza Mehrtash, William M. Wells III, Clare M. Tempany, Purang Abolmaesumi, Tina Kapur
2020 J jnl
Deep Learning in Archaeological Remote Sensing: Automated Qanat Detection in the Kurdistan Region of Iraq.
Remote. Sens.
Mehrnoush Soroush, Alireza Mehrtash, Emad Khazraee, Jason A. Ur
2020 J jnl
Improving detection of prostate cancer foci via information fusion of MRI and temporal enhanced ultrasound.
Int. J. Comput. Assist. Radiol. Surg.
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, Purang Abolmaesumi, Parvin Mousavi
2020 J jnl
Open Source Platform for Transperineal In-Bore MRI-Guided Targeted Prostate Biopsy.
IEEE Trans. Biomed. Eng.
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
2020 A* conf
PEP: Parameter Ensembling by Perturbation.
NeurIPS
Alireza Mehrtash, Purang Abolmaesumi, Polina Golland, Tina Kapur, Demian Wassermann, William M. Wells III
2020 J jnl
PEP: Parameter Ensembling by Perturbation.
CoRR
Alireza Mehrtash, Purang Abolmaesumi, Polina Golland, Tina Kapur, Demian Wassermann, William M. Wells III
2019 J jnl
Automatic Needle Segmentation and Localization in MRI With 3-D Convolutional Neural Networks: Application to MRI-Targeted Prostate Biopsy.
IEEE Trans. Medical Imaging
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
2019 J jnl
Confidence Calibration and Predictive Uncertainty Estimation for Deep Medical Image Segmentation.
CoRR
Alireza Mehrtash, William M. Wells III, Clare M. Tempany, Purang Abolmaesumi, Tina Kapur
2019 J jnl
Deep Information Theoretic Registration.
CoRR
Alireza Sedghi, Jie Luo, Alireza Mehrtash, Steve Pieper, Clare M. Tempany, Tina Kapur, Parvin Mousavi, William M. Wells III
2019 — conf
Semi-supervised image registration using deep learning.
Image-Guided Procedures
Alireza Sedghi, Jie Luo, Alireza Mehrtash, Steve Pieper, Clare M. Tempany, Tina Kapur, Parvin Mousavi, William M. Wells III
2019 J jnl
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge.
CoRR
Hugo J. Kuijf, J. Matthijs Biesbroek, Jeroen de Bresser, Rutger Heinen, Simon Andermatt, Mariana P. Bento, Matt Berseth, Mikhail Belyaev, M. Jorge Cardoso, Adrià Casamitjana, D. Louis Collins, Mahsa Dadar, Achilleas Georgiou, Mohsen Ghafoorian, Dakai Jin, April Khademi, Jesse Knight, Hongwei Li, Xavier Lladó, Miguel Luna, Qaiser Mahmood, Richard McKinley, Alireza Mehrtash, Sébastien Ourselin, Bo-yong Park, Hyunjin Park, Sang Hyun Park, Simon Pezold, Élodie Puybareau, Letícia Rittner, Carole H. Sudre, Sergi Valverde, Verónica Vilaplana, Roland Wiest, Yongchao Xu, Ziyue Xu, Guodong Zeng, Jianguo Zhang, Guoyan Zheng, Christopher Li Hsian Chen, Wiesje M. van der Flier, Frederik Barkhof, Max A. Viergever, Geert Jan Biessels
2019 J jnl
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge.
IEEE Trans. Medical Imaging
Hugo J. Kuijf, Adrià Casamitjana, D. Louis Collins, Mahsa Dadar, Achilleas Georgiou, Mohsen Ghafoorian, Dakai Jin, April Khademi, Jesse Knight, Hongwei Li, Xavier Lladó, J. Matthijs Biesbroek, Miguel Luna, Qaiser Mahmood, Richard McKinley, Alireza Mehrtash, Sébastien Ourselin, Bo-yong Park, Hyunjin Park, Sang Hyun Park, Simon Pezold, Élodie Puybareau, Jeroen de Bresser, Letícia Rittner, Carole H. Sudre, Sergi Valverde, Verónica Vilaplana, Roland Wiest, Yongchao Xu, Ziyue Xu, Guodong Zeng, Jianguo Zhang, Guoyan Zheng, Rutger Heinen, Christopher Li Hsian Chen, Wiesje M. van der Flier, Frederik Barkhof, Max A. Viergever, Geert Jan Biessels, Simon Andermatt, Mariana P. Bento, Matt Berseth, Mikhail Belyaev, M. Jorge Cardoso
2019 — conf
Tesseract-medical imaging: open-source browser-based platform for artificial intelligence deployment in medical imaging.
Image-Guided Procedures
Alireza Sedghi, Soheil Hamidi, Alireza Mehrtash, Erik Ziegler, Clare M. Tempany, Steve Pieper, Tina Kapur, Parvin Mousavi
2018 — conf
Automatic high resolution segmentation of the prostate from multi-planar MRI.
ISBI
Anneke Meyer, Alireza Mehrtash, Marko Rak, Daniel Schindele, Martin Schostak, Clare M. Tempany, Tina Kapur, Purang Abolmaesumi, Andriy Fedorov, Christian Hansen
2018 J jnl
Semi-Supervised Deep Metrics for Image Registration.
CoRR
Alireza Sedghi, Jie Luo, Alireza Mehrtash, Steve Pieper, Clare M. Tempany, Tina Kapur, Parvin Mousavi, William M. Wells III
2018 J jnl
Using the variogram for vector outlier screening: application to feature-based image registration.
Int. J. Comput. Assist. Radiol. Surg.
Jie Luo, Sarah F. Frisken, Inês Machado, Miaomiao Zhang, Steve Pieper, Polina Golland, Matthew Toews, Prashin Unadkat, Alireza Sedghi, Haoyin Zhou, Alireza Mehrtash, Frank Preiswerk, Cheng-Chieh Cheng, Alexandra J. Golby, Masashi Sugiyama, William M. Wells III
2017 — conf
Classification of clinical significance of MRI prostate findings using 3D convolutional neural networks.
Computer-Aided Diagnosis
Alireza Mehrtash, Alireza Sedghi, Mohsen Ghafoorian, Mehdi Taghipour, Clare M. Tempany, William M. Wells III, Tina Kapur, Parvin Mousavi, Purang Abolmaesumi, Andriy Fedorov
2017 — conf
DeepInfer: open-source deep learning deployment toolkit for image-guided therapy.
Image-Guided Procedures
Alireza Mehrtash, Mehran Pesteie, Jorden Hetherington, Peter A. Behringer, Tina Kapur, William M. Wells III, Robert Rohling, Andriy Fedorov, Purang Abolmaesumi
2017 — conf
Transfer Learning for Domain Adaptation in MRI: Application in Brain Lesion Segmentation.
MICCAI (3)
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, Bram Platel, William M. Wells III
2017 J jnl
Transfer Learning for Domain Adaptation in MRI: Application in Brain Lesion Segmentation.
CoRR
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, Bram Platel, William M. Wells III
2016 J jnl
Corticospinal tract modeling for neurosurgical planning by tracking through regions of peritumoral edema and crossing fibers using two-tensor unscented Kalman filter tractography.
Int. J. Comput. Assist. Radiol. Surg.
Zhenrui Chen, Yanmei Tie, Olutayo I. Olubiyi, Fan Zhang, Alireza Mehrtash, Laura Rigolo, Pegah Kahali, Isaiah Norton, Ofer Pasternak, Yogesh Rathi, Alexandra J. Golby, Lauren J. O'Donnell
2014 — conf
EM-navigated catheter placement for gynecologic brachytherapy: an accuracy study.
Image-Guided Procedures
Alireza Mehrtash, Antonio Damato, Guillaume Pernelle, Lauren Barber, Nabgha Farhat, Akila N. Viswanathan, Robert A. Cormack, Tina Kapur
2013 — conf
Validation of Catheter Segmentation for MR-Guided Gynecologic Cancer Brachytherapy.
MICCAI (3)
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