Amir M. Tahmasebi
Orcid: 0000-0003-1003-3802
According to our database1,
Amir M. Tahmasebi
authored at least 30 papers
between 2002 and 2021.
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Bibliography
2021
Supervised Learning in the Presence of Noise: Application in ICD-10 Code Classification.
CoRR, 2021
From Extreme Multi-label to Multi-class: A Hierarchical Approach for Automated ICD-10 Coding Using Phrase-level Attention.
CoRR, 2021
Towards radiologist-level cancer risk assessment in CT lung screening using deep learning.
Comput. Medical Imaging Graph., 2021
2020
Proceedings of the 3rd Clinical Natural Language Processing Workshop, 2020
2019
Automatic Normalization of Anatomical Phrases in Radiology Reports Using Unsupervised Learning.
J. Digit. Imaging, 2019
Neural Token Representations and Negation and Speculation Scope Detection in Biomedical and General Domain Text.
Proceedings of the Tenth International Workshop on Health Text Mining and Information Analysis LOUHI@EMNLP 2019, 2019
2018
Deep Recurrent Neural Networks for Prostate Cancer Detection: Analysis of Temporal Enhanced Ultrasound.
IEEE Trans. Medical Imaging, 2018
Towards radiologist-level cancer risk assessment in CT lung screening using deep learning.
CoRR, 2018
Int. J. Comput. Assist. Radiol. Surg., 2018
Learning from Noisy Label Statistics: Detecting High Grade Prostate Cancer in Ultrasound Guided Biopsy.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
2017
Transfer learning from RF to B-mode temporal enhanced ultrasound features for prostate cancer detection.
Int. J. Comput. Assist. Radiol. Surg., 2017
Detection and grading of prostate cancer using temporal enhanced ultrasound: combining deep neural networks and tissue mimicking simulations.
Int. J. Comput. Assist. Radiol. Surg., 2017
Automated assessment of imaging biomarkers for the PanCan lung cancer risk prediction model with validation on NLST data.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
2016
Detection of prostate cancer using temporal sequences of ultrasound data: a large clinical feasibility study.
Int. J. Comput. Assist. Radiol. Surg., 2016
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
2015
Augmenting MRI-transrectal ultrasound-guided prostate biopsy with temporal ultrasound data: a clinical feasibility study.
Int. J. Comput. Assist. Radiol. Surg., 2015
Proceedings of the Medical Imaging 2015: Image-Guided Procedures, 2015
Ultrasound-Based Detection of Prostate Cancer Using Automatic Feature Selection with Deep Belief Networks.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015
2014
Proceedings of the Clinical Image-Based Procedures. Translational Research in Medical Imaging, 2014
2012
A statistical model-based technique for accounting for prostate gland deformation in endorectal coil-based MR imaging.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
2011
Proceedings of the Medical Imaging 2011: Image Processing, 2011
2010
Quantification of Inter-subject Variability in Human Brain and Its Impact on Analysis of fMRI Data.
PhD thesis, 2010
NeuroImage, 2010
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.
NeuroImage, 2009
A New Approach for Creating Customizable Cytoarchitectonic Probabilistic Maps without a Template.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009
2008
IEEE Trans. Inf. Technol. Biomed., 2008
Experimental Identification and Analysis of the Dynamics of a PHANToM Premium 1.5A Haptic Device.
Presence Teleoperators Virtual Environ., 2008
2007
Proceedings of the 2007 IEEE International Conference on Robotics and Automation, 2007
2002
Signal Process. Image Commun., 2002