A. Tahmasebi

发表

A Framework for the Design of a Novel Haptic-based Medical Diagnostic Simulator

P. Abolmaesumi, K. Hashtrudi-Zaad, A. Tahmasebi, 2006 .

Is the link between anatomical structure and function equally strong at all cognitive levels of processing?

Matthew H. Davis, Jennifer M Rodd, Matthew H Davis, 2012, Cerebral cortex.

Fusion analysis of first episode depression: Where brain shape deformations meet local composition of tissue

I. Johnsrude, R. Bosma, P. Abolmaesumi, 2014, NeuroImage: Clinical.

A statistical atlas-based technique for automatic segmentation of the first Heschl's gyrus in human auditory cortex from MR images

I. Johnsrude, P. Abolmaesumi, A. Tahmasebi, 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

A New Approach for Creating Customizable Cytoarchitectonic Probabilistic Maps without a Template

Purang Abolmaesumi, Amir M. Tahmasebi, Gary E. Christensen, 2009, MICCAI.

Transfer learning from RF to B-mode temporal enhanced ultrasound features for prostate cancer detection

Purang Abolmaesumi, Shekoofeh Azizi, Jin Tae Kwak, 2017, International Journal of Computer Assisted Radiology and Surgery.

Prostate Cancer Detection Using Temporal Enhanced Ultrasound

P. Choyke, P. Pinto, Sheng Xu, 2020 .

A validation framework for probabilistic maps using Heschl's gyrus as a model

Purang Abolmaesumi, Amir M. Tahmasebi, Ingrid S. Johnsrude, 2010, NeuroImage.

Quantification of Inter-subject Variability in Human Brain and Its Impact on Analysis of fMRI Data

Amir M. Tahmasebi, A. Tahmasebi, 2010 .

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

Purang Abolmaesumi, Amir M. Tahmasebi, Kevin G. Munhall, 2009, NeuroImage.

Quantification of inter-subject variability in human brain: a validation framework for probabilistic maps

Purang Abolmaesumi, Amir M. Tahmasebi, Ingrid S. Johnsrude, 2009, Medical Imaging.

Experimental Identification and Analysis of the Dynamics of a PHANToM Premium 1.5A Haptic Device

Amir M. Tahmasebi, Babak Taati, Keyvan Hashtrudi-Zaad, 2008, PRESENCE: Teleoperators and Virtual Environments.

Dynamic parameter identification and analysis of a PHANToM haptic device

K. Hashtrudi-Zaad, F. Mobasser, A.M. Tahmasebi, 2005, Proceedings of 2005 IEEE Conference on Control Applications, 2005. CCA 2005..

Neural Token Representations and Negation and Speculation Scope Detection in Biomedical and General Domain Text

Peter Szolovits, Amir Tahmasebi, Elena Sergeeva, 2019, EMNLP.

Negation Scope Detection in Clinical Notes and Scientific Abstracts: A Feature-enriched LSTM-based Approach.

Amir Tahmasebi, Henghui Zhu, Peter Prinsen, 2019, AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science.

Learning from Noisy Label Statistics: Detecting High Grade Prostate Cancer in Ultrasound Guided Biopsy

Purang Abolmaesumi, Shekoofeh Azizi, Jin Tae Kwak, 2018, MICCAI.

Deep Recurrent Neural Networks for Prostate Cancer Detection: Analysis of Temporal Enhanced Ultrasound

Purang Abolmaesumi, Shekoofeh Azizi, Jin Tae Kwak, 2018, IEEE Transactions on Medical Imaging.

Toward a real-time system for temporal enhanced ultrasound-guided prostate biopsy

Ming Li, Purang Abolmaesumi, Shekoofeh Azizi, 2018, International Journal of Computer Assisted Radiology and Surgery.

Exploiting Rules to Enhance Machine Learning in Extracting Information From Multi-Institutional Prostate Pathology Reports.

Regina Barzilay, Adam Yala, Enrico Santus, 2020, JCO clinical cancer informatics.

Investigation of Physical Phenomena Underlying Temporal-Enhanced Ultrasound as a New Diagnostic Imaging Technique: Theory and Simulations

Purang Abolmaesumi, Shekoofeh Azizi, Farhad Imani, 2018, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control.

Towards radiologist-level cancer risk assessment in CT lung screening using deep learning pdf

Tobias Klinder, Stojan Trajanovski, Rafael Wiemker, 2018, Comput. Medical Imaging Graph..

Clinical Concept Extraction with Contextual Word Embedding pdf

Ioannis Ch. Paschalidis, Henghui Zhu, Amir Tahmasebi, 2018, NIPS 2018.

Augmenting MRI–transrectal ultrasound-guided prostate biopsy with temporal ultrasound data: a clinical feasibility study

Purang Abolmaesumi, Farhad Imani, Jin Tae Kwak, 2015, International Journal of Computer Assisted Radiology and Surgery.

Classification of Pulmonary Nodular Findings based on Characterization of Change using Radiology Reports.

Amir Tahmasebi, Jianbo Yuan, Henghui Zhu, 2019, AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science.

A variational approach to bone segmentation in CT images

Amir M. Tahmasebi, Jeff Calder, Abdol-Reza Mansouri, 2011, Medical Imaging.

Clinical Concept Extraction with Contextual Word Embedding

I. Paschalidis, A. Tahmasebi, Henghui Zhu, 2018, NIPS 2018.

Automatic Normalization of Anatomical Phrases in Radiology Reports Using Unsupervised Learning

Amir M. Tahmasebi, Prescott Klassen, Paul Chang, 2018, Journal of Digital Imaging.

A Framework for the Design of a Novel Haptic-Based Medical Training Simulator

Purang Abolmaesumi, Amir M. Tahmasebi, Keyvan Hashtrudi-Zaad, 2008, IEEE Transactions on Information Technology in Biomedicine.

Supervised Learning in the Presence of Noise: Application in ICD-10 Code Classification pdf

Amir Tahmasebi, Javed Aslam, Bingyang Ye, 2021, ArXiv.

Detection of prostate cancer using temporal sequences of ultrasound data: a large clinical feasibility study

Purang Abolmaesumi, Shekoofeh Azizi, Farhad Imani, 2016, International Journal of Computer Assisted Radiology and Surgery.

Context-Driven Concept Annotation in Radiology Reports: Anatomical Phrase Labeling.

Amir Tahmasebi, Henghui Zhu, Ioannis Ch Paschalidis, 2019, AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science.