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Ali Bashashati

Showing results (21-30 of 82) with videos related to

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IEEE Transactions on Bio-Medical Engineering|March 15, 2006
An experimental study to investigate the effects of a motion tracking electromagnetic sensor during EEG data acquisitionAli Bashashati, Borna Noureddin, Rabab K Ward, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 8, 2009
A pipeline for automated analysis of flow cytometry data: preliminary results on lymphoma sub-type diagnosisAli Bashashati, Kenneth Lo, Raphael Gottardo, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|April 18, 2007
A comparative study on generating training-data for self-paced brain interfacesAli Bashashati, Steve G Mason, Jaimie F Borisoff, et al.
Journal of Clinical Monitoring and Computing|February 24, 2026
Regional tissue perfusion index (RTPI): a new optical-based metric for quantifying regional tissue perfusionBabak Shadgan, Iman Amani Tehrani, Sadra Khosravi, et al.
Leukemia Research|May 6, 2009
Reduction in multi-lineage and erythroid progenitors distinguishes myelodysplastic syndromes from non-malignant cytopeniasSuzanne M Vercauteren, Ali Bashashati, Donghong Wu, et al.
Laboratory Investigation; a Journal of Technical Methods and Pathology|May 1, 2026
Recommendations for Pathologist-led Deployment of Artificial Intelligence Tools as Lab-developed TestsAllen W Zhang, Matthew J Cecchini, Ali Bashashati, et al.
Plos Computational Biology|February 23, 2019
Integrated structural variation and point mutation signatures in cancer genomes using correlated topic modelsTyler Funnell, Allen W Zhang, Diljot Grewal, et al.
Cancers|September 27, 2025
A Deep Learning Framework for Classification of Neuroendocrine Neoplasm Whole Slide ImagesAmir Hadjifaradji, Michael Diaz-Stewart, Jenny Chu, et al.
Genome Biology|February 7, 2013
DriverNet: uncovering the impact of somatic driver mutations on transcriptional networks in cancerAli Bashashati, Gholamreza Haffari, Jiarui Ding, et al.
JCO Clinical Cancer Informatics|June 20, 2024
Prostate Cancer Risk Stratification by Digital Histopathology and Deep LearningYanan Shao, Roozbeh Bazargani, Davood Karimi, et al.
Pageof 9

Showing results (21-30 of 82) with videos related to

Sort By:
Pageof 9
IEEE Transactions on Bio-Medical Engineering|March 15, 2006
An experimental study to investigate the effects of a motion tracking electromagnetic sensor during EEG data acquisitionAli Bashashati, Borna Noureddin, Rabab K Ward, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 8, 2009
A pipeline for automated analysis of flow cytometry data: preliminary results on lymphoma sub-type diagnosisAli Bashashati, Kenneth Lo, Raphael Gottardo, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|April 18, 2007
A comparative study on generating training-data for self-paced brain interfacesAli Bashashati, Steve G Mason, Jaimie F Borisoff, et al.
Journal of Clinical Monitoring and Computing|February 24, 2026
Regional tissue perfusion index (RTPI): a new optical-based metric for quantifying regional tissue perfusionBabak Shadgan, Iman Amani Tehrani, Sadra Khosravi, et al.
Leukemia Research|May 6, 2009
Reduction in multi-lineage and erythroid progenitors distinguishes myelodysplastic syndromes from non-malignant cytopeniasSuzanne M Vercauteren, Ali Bashashati, Donghong Wu, et al.
Laboratory Investigation; a Journal of Technical Methods and Pathology|May 1, 2026
Recommendations for Pathologist-led Deployment of Artificial Intelligence Tools as Lab-developed TestsAllen W Zhang, Matthew J Cecchini, Ali Bashashati, et al.
Plos Computational Biology|February 23, 2019
Integrated structural variation and point mutation signatures in cancer genomes using correlated topic modelsTyler Funnell, Allen W Zhang, Diljot Grewal, et al.
Cancers|September 27, 2025
A Deep Learning Framework for Classification of Neuroendocrine Neoplasm Whole Slide ImagesAmir Hadjifaradji, Michael Diaz-Stewart, Jenny Chu, et al.
Genome Biology|February 7, 2013
DriverNet: uncovering the impact of somatic driver mutations on transcriptional networks in cancerAli Bashashati, Gholamreza Haffari, Jiarui Ding, et al.
JCO Clinical Cancer Informatics|June 20, 2024
Prostate Cancer Risk Stratification by Digital Histopathology and Deep LearningYanan Shao, Roozbeh Bazargani, Davood Karimi, et al.
Pageof 9