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Amir M. Tahmasebi
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2020 – today
- 2021
- [j13]Stojan Trajanovski, Dimitrios Mavroeidis, Christine Leon Swisher, Binyam Gebrekidan Gebre, Bastiaan S. Veeling, Rafael Wiemker, Tobias Klinder, Amir Tahmasebi, Shawn M. Regis, Christoph Wald, Brady J. McKee, Sebastian Flacke, Heber MacMahon, Homer H. Pien:
Towards radiologist-level cancer risk assessment in CT lung screening using deep learning. Comput. Medical Imaging Graph. 90: 101883 (2021) - [i5]Cansu Sen, Bingyang Ye, Javed Aslam, Amir Tahmasebi:
From Extreme Multi-label to Multi-class: A Hierarchical Approach for Automated ICD-10 Coding Using Phrase-level Attention. CoRR abs/2102.09136 (2021) - [i4]Youngwoo Kim, Cheng Li, Bingyang Ye, Amir Tahmasebi, Javed Aslam:
Supervised Learning in the Presence of Noise: Application in ICD-10 Code Classification. CoRR abs/2103.07808 (2021) - 2020
- [c12]Morteza Pourreza Shahri, Amir Tahmasebi, Bingyang Ye, Henghui Zhu, Javed Aslam, Timothy Ferris:
An Ensemble Approach for Automatic Structuring of Radiology Reports. ClinicalNLP@EMNLP 2020: 249-258 - [i3]Morteza Pourreza Shahri, Amir Tahmasebi, Bingyang Ye, Henghui Zhu, Javed Aslam, Timothy Ferris:
An Ensemble Approach for Automatic Structuring of Radiology Reports. CoRR abs/2010.02256 (2020)
2010 – 2019
- 2019
- [j12]Amir M. Tahmasebi, Henghui Zhu, Gabriel Mankovich, Peter Prinsen, Prescott Klassen, Sam Pilato, Rob van Ommering, Pritesh Patel, Martin L. Gunn, Paul Chang:
Automatic Normalization of Anatomical Phrases in Radiology Reports Using Unsupervised Learning. J. Digit. Imaging 32(1): 6-18 (2019) - [c11]Elena Sergeeva, Henghui Zhu, Amir Tahmasebi, Peter Szolovits:
Neural Token Representations and Negation and Speculation Scope Detection in Biomedical and General Domain Text. LOUHI@EMNLP 2019: 178-187 - 2018
- [j11]Shekoofeh Azizi, Nathan Van Woudenberg, Samira Sojoudi, Ming Li, Sheng Xu, Emran Mohammad Abu Anas, Pingkun Yan, Amir M. Tahmasebi, Jin Tae Kwak, Baris Turkbey, Peter L. Choyke, Peter A. Pinto, Bradford J. Wood, Parvin Mousavi, Purang Abolmaesumi:
Toward a real-time system for temporal enhanced ultrasound-guided prostate biopsy. Int. J. Comput. Assist. Radiol. Surg. 13(8): 1201-1209 (2018) - [j10]Shekoofeh Azizi, Sharareh Bayat, Pingkun Yan, Amir Tahmasebi, Jin Tae Kwak, Sheng Xu, Baris Turkbey, Peter L. Choyke, Peter A. Pinto, Bradford J. Wood, Parvin Mousavi, Purang Abolmaesumi:
Deep Recurrent Neural Networks for Prostate Cancer Detection: Analysis of Temporal Enhanced Ultrasound. IEEE Trans. Medical Imaging 37(12): 2695-2703 (2018) - [c10]Shekoofeh Azizi, Pingkun Yan, Amir M. Tahmasebi, Peter A. Pinto, Bradford J. Wood, Jin Tae Kwak, Sheng Xu, Baris Turkbey, Peter L. Choyke, Parvin Mousavi, Purang Abolmaesumi:
Learning from Noisy Label Statistics: Detecting High Grade Prostate Cancer in Ultrasound Guided Biopsy. MICCAI (4) 2018: 21-29 - [i2]Stojan Trajanovski, Dimitrios Mavroeidis, Christine Leon Swisher, Binyam Gebrekidan Gebre, Bas Veeling, Rafael Wiemker, Tobias Klinder, Amir Tahmasebi, Shawn M. Regis, Christoph Wald, Brady J. McKee, Heber MacMahon, Homer H. Pien:
Towards radiologist-level cancer risk assessment in CT lung screening using deep learning. CoRR abs/1804.01901 (2018) - [i1]Henghui Zhu, Ioannis Ch. Paschalidis, Amir Tahmasebi:
Clinical Concept Extraction with Contextual Word Embedding. CoRR abs/1810.10566 (2018) - 2017
- [j9]Shekoofeh Azizi, Parvin Mousavi, Pingkun Yan, Amir M. Tahmasebi, Jin Tae Kwak, Sheng Xu, Baris Turkbey, Peter L. Choyke, Peter A. Pinto, Bradford J. Wood, Purang Abolmaesumi:
Transfer learning from RF to B-mode temporal enhanced ultrasound features for prostate cancer detection. Int. J. Comput. Assist. Radiol. Surg. 12(7): 1111-1121 (2017) - [j8]Shekoofeh Azizi, Sharareh Bayat, Pingkun Yan, Amir M. Tahmasebi, Guy Nir, Jin Tae Kwak, Sheng Xu, Storey Wilson, Kenneth A. Iczkowski, M. Scott Lucia, Larry Goldenberg, Septimiu E. Salcudean, Peter A. Pinto, Bradford J. Wood, Purang Abolmaesumi, Parvin Mousavi:
Detection and grading of prostate cancer using temporal enhanced ultrasound: combining deep neural networks and tissue mimicking simulations. Int. J. Comput. Assist. Radiol. Surg. 12(8): 1293-1305 (2017) - [c9]Rafael Wiemker, Merlijn Sevenster, Heber MacMahon, Feng Li, Sandeep Dalal, Amir Tahmasebi, Tobias Klinder:
Automated assessment of imaging biomarkers for the PanCan lung cancer risk prediction model with validation on NLST data. Medical Imaging: Computer-Aided Diagnosis 2017: 1013421 - 2016
- [j7]Shekoofeh Azizi, Farhad Imani, Sahar Ghavidel, Amir M. Tahmasebi, Jin Tae Kwak, Sheng Xu, Baris Turkbey, Peter L. Choyke, Peter A. Pinto, Bradford J. Wood, Parvin Mousavi, Purang Abolmaesumi:
Detection of prostate cancer using temporal sequences of ultrasound data: a large clinical feasibility study. Int. J. Comput. Assist. Radiol. Surg. 11(6): 947-956 (2016) - [c8]Shekoofeh Azizi, Farhad Imani, Jin Tae Kwak, Amir M. Tahmasebi, Sheng Xu, Pingkun Yan, Jochen Kruecker, Baris Turkbey, Peter L. Choyke, Peter A. Pinto, Bradford J. Wood, Parvin Mousavi, Purang Abolmaesumi:
Classifying Cancer Grades Using Temporal Ultrasound for Transrectal Prostate Biopsy. MICCAI (1) 2016: 653-661 - 2015
- [j6]Farhad Imani, Bo Zhuang, Amir M. Tahmasebi, Jin Tae Kwak, Sheng Xu, Harsh K. Agarwal, Shyam Bharat, Nishant Uniyal, Ismail Baris Turkbey, Peter L. Choyke, Peter A. Pinto, Bradford J. Wood, Mehdi Moradi, Parvin Mousavi, Purang Abolmaesumi:
Augmenting MRI-transrectal ultrasound-guided prostate biopsy with temporal ultrasound data: a clinical feasibility study. Int. J. Comput. Assist. Radiol. Surg. 10(6): 727-735 (2015) - [c7]Shekoofeh Azizi, Farhad Imani, Bo Zhuang, Amir M. Tahmasebi, Jin Tae Kwak, Sheng Xu, Nishant Uniyal, Baris Turkbey, Peter L. Choyke, Peter A. Pinto, Bradford J. Wood, Mehdi Moradi, Parvin Mousavi, Purang Abolmaesumi:
Ultrasound-Based Detection of Prostate Cancer Using Automatic Feature Selection with Deep Belief Networks. MICCAI (2) 2015: 70-77 - [c6]Ehsan Dehghan, Kongkuo Lu, Pingkun Yan, Amir M. Tahmasebi, Sheng Xu, Bradford J. Wood, Nadine Abi-Jaoudeh, Aradhana Venkatesan, Jochen Kruecker:
Surface-based registration of liver in ultrasound and CT. Medical Imaging: Image-Guided Procedures 2015: 941522 - 2014
- [c5]Nishant Uniyal, Farhad Imani, Amir M. Tahmasebi, Harsh K. Agarwal, Shyam Bharat, Pingkun Yan, Jochen Kruecker, Jin Tae Kwak, Sheng Xu, Bradford J. Wood, Peter A. Pinto, Baris Turkbey, Peter L. Choyke, Purang Abolmaesumi, Parvin Mousavi, Mehdi Moradi:
Ultrasound-Based Predication of Prostate Cancer in MRI-guided Biopsy. CLIP@MICCAI 2014: 142-150 - 2012
- [c4]Amir M. Tahmasebi, Reza Sharifi, Harsh K. Agarwal, Baris Turkbey, Marcelino Bernardo, Peter L. Choyke, Peter A. Pinto, Bradford J. Wood, Jochen Kruecker:
A statistical model-based technique for accounting for prostate gland deformation in endorectal coil-based MR imaging. EMBC 2012: 5412-5415 - 2011
- [c3]Jeff Calder, Amir M. Tahmasebi, Abdol-Reza Mansouri:
A variational approach to bone segmentation in CT images. Medical Imaging: Image Processing 2011: 79620B - 2010
- [b1]Amir M. Tahmasebi:
Quantification of Inter-subject Variability in Human Brain and Its Impact on Analysis of fMRI Data. Queen's University at Kingston, Ontario, Canada, 2010 - [j5]Amir M. Tahmasebi, Purang Abolmaesumi, Conor J. Wild, Ingrid S. Johnsrude:
A validation framework for probabilistic maps using Heschl's gyrus as a model. NeuroImage 50(2): 532-544 (2010)
2000 – 2009
- 2009
- [j4]Amir M. Tahmasebi, Purang Abolmaesumi, Zane Z. Zheng, Kevin G. Munhall, Ingrid S. Johnsrude:
Reducing inter-subject anatomical variation: Effect of normalization method on sensitivity of functional magnetic resonance imaging data analysis in auditory cortex and the superior temporal region. NeuroImage 47(4): 1522-1531 (2009) - [c2]Amir M. Tahmasebi, Purang Abolmaesumi, Xiujuan Geng, Patricia Morosan, Katrin Amunts, Gary E. Christensen, Ingrid S. Johnsrude:
A New Approach for Creating Customizable Cytoarchitectonic Probabilistic Maps without a Template. MICCAI (1) 2009: 795-802 - 2008
- [j3]Babak Taati, Amir M. Tahmasebi, Keyvan Hashtrudi-Zaad:
Experimental Identification and Analysis of the Dynamics of a PHANToM Premium 1.5A Haptic Device. Presence Teleoperators Virtual Environ. 17(4): 327-343 (2008) - [j2]Amir M. Tahmasebi, Keyvan Hashtrudi-Zaad, D. Thompson, Purang Abolmaesumi:
A Framework for the Design of a Novel Haptic-Based Medical Training Simulator. IEEE Trans. Inf. Technol. Biomed. 12(5): 658-666 (2008) - 2007
- [c1]Amir M. Tahmasebi, Purang Abolmaesumi, Keyvan Hashtrudi-Zaad:
A Haptic-based Ultrasound Training/Examination System (HUTES). ICRA 2007: 3130-3131 - 2002
- [j1]Amir M. Tahmasebi, Shohreh Kasaei:
A novel adaptive approach to fingerprint enhancement filter design. Signal Process. Image Commun. 17(10): 849-855 (2002)
Coauthor Index
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