A novel adaptive approach to fingerprint enhancement filter design. - Amir M. Tahmasebi; Shohreh Kasaei (Signal Process. Image Commun., 2002)

Dynamic parameter identification and analysis of a PHANToM haptic device. - Amir M. Tahmasebi; Babak Taati; Farid Mobasser; Keyvan Hashtrudi-Zaad (CCA, 2005)

A Haptic-based Ultrasound Training/Examination System (HUTES). - Amir M. Tahmasebi; Purang Abolmaesumi; Keyvan Hashtrudi-Zaad (ICRA, 2007)

Experimental Identification and Analysis of the Dynamics of a PHANToM Premium 1.5A Haptic Device. - Babak Taati; Amir M. Tahmasebi; Keyvan Hashtrudi-Zaad (Presence Teleoperators Virtual Environ., 2008)

A Framework for the Design of a Novel Haptic-Based Medical Training Simulator. - Amir M. Tahmasebi; Keyvan Hashtrudi-Zaad; D. Thompson; Purang Abolmaesumi (IEEE Trans. Inf. Technol. Biomed., 2008)

A New Approach for Creating Customizable Cytoarchitectonic Probabilistic Maps without a Template. - Amir M. Tahmasebi; Purang Abolmaesumi; Xiujuan Geng; Patricia Morosan; Katrin Amunts; Gary E. Christensen; Ingrid S. Johnsrude (MICCAI (1), 2009)

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. - Amir M. Tahmasebi; Purang Abolmaesumi; Zane Z. Zheng; Kevin G. Munhall; Ingrid S. Johnsrude (NeuroImage, 2009)

A validation framework for probabilistic maps using Heschl's gyrus as a model. - Amir M. Tahmasebi; Purang Abolmaesumi; Conor J. Wild; Ingrid S. Johnsrude (NeuroImage, 2010)

Quantification of Inter-subject Variability in Human Brain and Its Impact on Analysis of fMRI Data. - Amir M. Tahmasebi (2010)

A variational approach to bone segmentation in CT images. - Jeff Calder; Amir M. Tahmasebi; Abdol-Reza Mansouri (Image Processing, 2011)

A statistical model-based technique for accounting for prostate gland deformation in endorectal coil-based MR imaging. - Amir M. Tahmasebi; Reza Sharifi; Harsh K. Agarwal; Baris Turkbey; Marcelino Bernardo; Peter L. Choyke; Peter A. Pinto; Bradford J. Wood; Jochen Kruecker (EMBC, 2012)

Ultrasound-Based Predication of Prostate Cancer in MRI-guided Biopsy. - Nishant Uniyal; Farhad Imani; Amir M. Tahmasebi; Harsh K. Agarwal; Shyam Bharat; Pingkun Yan; Jochen Kruecker; Jin Tae Kwak; Sheng Xu 001; Bradford J. Wood; Peter A. Pinto; Baris Turkbey; et al. (CLIP@MICCAI, 2014)

Ultrasound-Based Detection of Prostate Cancer Using Automatic Feature Selection with Deep Belief Networks. - Shekoofeh Azizi; Farhad Imani; Bo Zhuang; Amir M. Tahmasebi; Jin Tae Kwak; Sheng Xu 001; Nishant Uniyal; Baris Turkbey; Peter L. Choyke; Peter A. Pinto; Bradford J. Wood; Mehdi Moradi; et al. (MICCAI (2), 2015)

Surface-based registration of liver in ultrasound and CT. - Ehsan Dehghan; Kongkuo Lu; Pingkun Yan; Amir M. Tahmasebi; Sheng Xu 001; Bradford J. Wood; Nadine Abi-Jaoudeh; Aradhana Venkatesan; Jochen Kruecker (Image-Guided Procedures, 2015)

Augmenting MRI-transrectal ultrasound-guided prostate biopsy with temporal ultrasound data: a clinical feasibility study. - Farhad Imani; Bo Zhuang; Amir M. Tahmasebi; Jin Tae Kwak; Sheng Xu 001; Harsh K. Agarwal; Shyam Bharat; Nishant Uniyal; Ismail Baris Turkbey; Peter L. Choyke; Peter A. Pinto; Bradford J. Wood; et al. (Int. J. Comput. Assist. Radiol. Surg., 2015)

Classifying Cancer Grades Using Temporal Ultrasound for Transrectal Prostate Biopsy. - Shekoofeh Azizi; Farhad Imani; Jin Tae Kwak; Amir M. Tahmasebi; Sheng Xu 001; Pingkun Yan; Jochen Kruecker; Baris Turkbey; Peter L. Choyke; Peter A. Pinto; Bradford J. Wood; Parvin Mousavi; et al. (MICCAI (1), 2016)

Detection of prostate cancer using temporal sequences of ultrasound data: a large clinical feasibility study. - Shekoofeh Azizi; Farhad Imani; Sahar Ghavidel; Amir M. Tahmasebi; Jin Tae Kwak; Sheng Xu 001; Baris Turkbey; Peter L. Choyke; Peter A. Pinto; Bradford J. Wood; Parvin Mousavi; Purang Abolmaesumi (Int. J. Comput. Assist. Radiol. Surg., 2016)

Automated assessment of imaging biomarkers for the PanCan lung cancer risk prediction model with validation on NLST data. - Rafael Wiemker; Merlijn Sevenster; Heber MacMahon; Feng Li 018; Sandeep Dalal; Amir Tahmasebi; Tobias Klinder (Computer-Aided Diagnosis, 2017)

Detection and grading of prostate cancer using temporal enhanced ultrasound: combining deep neural networks and tissue mimicking simulations. - Shekoofeh Azizi; Sharareh Bayat; Pingkun Yan; Amir M. Tahmasebi; Guy Nir; Jin Tae Kwak; Sheng Xu 001; Storey Wilson; Kenneth A. Iczkowski; M. Scott Lucia; Larry Goldenberg; Septimiu E. Salcudean; et al. (Int. J. Comput. Assist. Radiol. Surg., 2017)

Transfer learning from RF to B-mode temporal enhanced ultrasound features for prostate cancer detection. - Shekoofeh Azizi; Parvin Mousavi; Pingkun Yan; Amir M. Tahmasebi; Jin Tae Kwak; Sheng Xu 001; Baris Turkbey; Peter L. Choyke; Peter A. Pinto; Bradford J. Wood; Purang Abolmaesumi (Int. J. Comput. Assist. Radiol. Surg., 2017)

Learning from Noisy Label Statistics: Detecting High Grade Prostate Cancer in Ultrasound Guided Biopsy. - Shekoofeh Azizi; Pingkun Yan; Amir M. Tahmasebi; Peter A. Pinto; Bradford J. Wood; Jin Tae Kwak; Sheng Xu 001; Baris Turkbey; Peter L. Choyke; Parvin Mousavi; Purang Abolmaesumi (MICCAI (4), 2018)

Toward a real-time system for temporal enhanced ultrasound-guided prostate biopsy. - Shekoofeh Azizi; Nathan Van Woudenberg; Samira Sojoudi; Ming Li 052; Sheng Xu 001; Emran Mohammad Abu Anas; Pingkun Yan; Amir M. Tahmasebi; Jin Tae Kwak; Baris Turkbey; Peter L. Choyke; Peter A. Pinto; et al. (Int. J. Comput. Assist. Radiol. Surg., 2018)

Towards radiologist-level cancer risk assessment in CT lung screening using deep learning. - 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; et al. (CoRR, 2018)

Clinical Concept Extraction with Contextual Word Embedding. - Henghui Zhu; Ioannis Ch. Paschalidis; Amir Tahmasebi (CoRR, 2018)

Deep Recurrent Neural Networks for Prostate Cancer Detection: Analysis of Temporal Enhanced Ultrasound. - Shekoofeh Azizi; Sharareh Bayat; Pingkun Yan; Amir Tahmasebi; Jin Tae Kwak; Sheng Xu 001; Baris Turkbey; Peter L. Choyke; Peter A. Pinto; Bradford J. Wood; Parvin Mousavi; Purang Abolmaesumi (IEEE Trans. Medical Imaging, 2018)

Neural Token Representations and Negation and Speculation Scope Detection in Biomedical and General Domain Text. - Elena Sergeeva; Henghui Zhu; Amir Tahmasebi; Peter Szolovits (LOUHI@EMNLP, 2019)

Automatic Normalization of Anatomical Phrases in Radiology Reports Using Unsupervised Learning. - Amir M. Tahmasebi; Henghui Zhu; Gabriel Mankovich; Peter Prinsen; Prescott Klassen; Sam Pilato; Rob van Ommering; Pritesh Patel; Martin L. Gunn; Paul Chang (J. Digit. Imaging, 2019)

An Ensemble Approach for Automatic Structuring of Radiology Reports. - Morteza Pourreza Shahri; Amir Tahmasebi; Bingyang Ye; Henghui Zhu; Javed Aslam; Timothy Ferris (ClinicalNLP@EMNLP, 2020)

Towards radiologist-level cancer risk assessment in CT lung screening using deep learning. - 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; et al. (Comput. Medical Imaging Graph., 2021)

From Extreme Multi-label to Multi-class: A Hierarchical Approach for Automated ICD-10 Coding Using Phrase-level Attention. - Cansu Sen; Bingyang Ye; Javed Aslam; Amir Tahmasebi (CoRR, 2021)

Supervised Learning in the Presence of Noise: Application in ICD-10 Code Classification. - Youngwoo Kim; Cheng Li; Bingyang Ye; Amir Tahmasebi; Javed Aslam (CoRR, 2021)