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ORCIDAli Bashashati
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2020 – today
- 2025
[j11]Ching-Wei Wang
, Nabila Puspita Firdi, Tzu-Chiao Chu, Mohammad Faiz Iqbal Faiz, Mohammad Zafar Iqbal, Yifan Li, Bo Yang, Mayur Mallya, Ali Bashashati, Fei Li, Haipeng Wang, Mengkang Lu, Yong Xia, Tai-Kuang Chao:
ATEC23 Challenge: Automated prediction of treatment effectiveness in ovarian cancer using histopathological images. Medical Image Anal. 99: 103342 (2025)- 2024
- [j10]Roozbeh Bazargani, Ladan Fazli, Martin E. Gleave, Larry Goldenberg, Ali Bashashati, Septimiu E. Salcudean:
Multi-scale relational graph convolutional network for multiple instance learning in histopathology images. Medical Image Anal. 96: 103197 (2024) - [i9]Ali Khajegili Mirabadi, Graham Archibald, Amirali Darbandsari, Alberto Contreras-Sanz, Ramin Ebrahim Nakhli, Maryam Asadi, Allen Zhang, C. Blake Gilks, Peter Black, Gang Wang, Hossein Farahani, Ali Bashashati:
GRASP: GRAph-Structured Pyramidal Whole Slide Image Representation. CoRR abs/2402.03592 (2024) - [i8]Mayur Mallya, Ali Khajegili Mirabadi, Hossein Farahani, Ali Bashashati:
Benchmarking Histopathology Foundation Models for Ovarian Cancer Bevacizumab Treatment Response Prediction from Whole Slide Images. CoRR abs/2407.20596 (2024) - [i7]Philip Fradkin, Puria Azadi, Karush Suri, Frederik Wenkel, Ali Bashashati, Maciej Sypetkowski, Dominique Beaini:
How Molecules Impact Cells: Unlocking Contrastive PhenoMolecular Retrieval. CoRR abs/2409.08302 (2024) - 2023
- [c11]Ramin Nakhli, Puria Azadi Moghadam, Haoyang Mi, Hossein Farahani, Alexander Baras, C. Blake Gilks, Ali Bashashati:
Sparse Multi-Modal Graph Transformer with Shared-Context Processing for Representation Learning of Giga-pixel Images. CVPR 2023: 11547-11557 - [c10]Ramin Nakhli, Allen W. Zhang, Ali Khajegili Mirabadi, Katherine Rich, Maryam Asadi, C. Blake Gilks, Hossein Farahani, Ali Bashashati:
CO-PILOT: Dynamic Top-Down Point Cloud with Conditional Neighborhood Aggregation for Multi-Gigapixel Histopathology Image Representation. ICCV 2023: 21006-21016 - [c9]Puria Azadi, Jonathan Suderman, Ramin Nakhli, Katherine Rich, Maryam Asadi, Sonia Kung, Htoo Oo, Mira Keyes, Hossein Farahani, Calum MacAulay, Larry Goldenberg, Peter Black, Ali Bashashati:
ALL-IN: ALocal GLobal Graph-Based DIstillatioN Model for Representation Learning of Gigapixel Histopathology Images With Application In Cancer Risk Assessment. MICCAI (6) 2023: 765-775 - [c8]Puria Azadi Moghadam, Sanne Van Dalen, Karina C. Martin, Jochen K. Lennerz, Stephen Yip, Hossein Farahani, Ali Bashashati:
A Morphology Focused Diffusion Probabilistic Model for Synthesis of Histopathology Images. WACV 2023: 1999-2008 - [i6]Ramin Nakhli, Puria Azadi Moghadam, Haoyang Mi, Hossein Farahani, Alexander Baras, C. Blake Gilks, Ali Bashashati:
AMIGO: Sparse Multi-Modal Graph Transformer with Shared-Context Processing for Representation Learning of Giga-pixel Images. CoRR abs/2303.00865 (2023) - [i5]Ramin Nakhli, Allen Zhang, Hossein Farahani, Amirali Darbandsari, Elahe Shenasa, Sidney Thiessen, Katy Milne, Jessica McAlpine, Brad Nelson, C. Blake Gilks, Ali Bashashati:
VOLTA: an Environment-Aware Contrastive Cell Representation Learning for Histopathology. CoRR abs/2303.04696 (2023) - 2022
- [c7]Ramin Nakhli, Amirali Darbandsari, Hossein Farahani, Ali Bashashati:
CCRL: Contrastive Cell Representation Learning. ECCV Workshops (7) 2022: 397-407 - [i4]Ramin Nakhli, Amirali Darbandsari, Hossein Farahani, Ali Bashashati:
CCRL: Contrastive Cell Representation Learning. CoRR abs/2208.06445 (2022) - [i3]Puria Azadi Moghadam, Sanne Van Dalen, Karina C. Martin, Jochen K. Lennerz, Stephen Yip, Hossein Farahani, Ali Bashashati:
A Morphology Focused Diffusion Probabilistic Model for Synthesis of Histopathology Images. CoRR abs/2209.13167 (2022) - [i2]Roozbeh Bazargani, Ladan Fazli, Larry Goldenberg, Martin E. Gleave, Ali Bashashati, Septimiu E. Salcudean:
Multi-Scale Relational Graph Convolutional Network for Multiple Instance Learning in Histopathology Images. CoRR abs/2212.08781 (2022) - 2020
- [i1]Yiping Wang, David Farnell, Hossein Farahani, Mitchell Nursey, Basile Tessier-Cloutier, Steven J. M. Jones, David G. Huntsman, C. Blake Gilks, Ali Bashashati:
Classification of Epithelial Ovarian Carcinoma Whole-Slide Pathology Images Using Deep Transfer Learning. CoRR abs/2005.10957 (2020)
2010 – 2019
- 2019
- [j9]Tyler Funnell, Allen W. Zhang, Diljot Grewal, Steven McKinney, Ali Bashashati, Yi Kan Wang, Sohrab P. Shah:
Integrated structural variation and point mutation signatures in cancer genomes using correlated topic models. PLoS Comput. Biol. 15(2) (2019) - 2016
- [c6]Hossein Bashashati, Rabab K. Ward, Ali Bashashati:
Bayesian optimization of BCI parameters. CCECE 2016: 1-5 - [c5]Hossein Bashashati, Rabab K. Ward, Ali Bashashati, Amr M. Mohamed:
Neural Network Conditional Random Fields for Self-Paced Brain Computer Interfaces. ICMLA 2016: 939-943 - 2015
- [c4]Hossein Bashashati, Rabab K. Ward, Ali Bashashati:
Hidden Markov Support Vector Machines for Self-Paced Brain Computer Interfaces. ICMLA 2015: 382-385 - 2012
- [j8]Jiarui Ding, Ali Bashashati, Andrew Roth, Arusha Oloumi, Kane Tse, Thomas Zeng, Gholamreza Haffari, Martin Hirst, Marco A. Marra, Anne Condon, Sam Aparicio, Sohrab P. Shah:
Feature-based classifiers for somatic mutation detection in tumour-normal paired sequencing data. Bioinform. 28(2): 167-175 (2012) - [j7]Andrew Roth, Jiarui Ding, Ryan D. Morin, Anamaria Crisan, Gavin Ha, Ryan Giuliany, Ali Bashashati, Martin Hirst, Gulisa Turashvili, Arusha Oloumi, Marco A. Marra, Sam Aparicio, Sohrab P. Shah:
JointSNVMix: a probabilistic model for accurate detection of somatic mutations in normal/tumour paired next-generation sequencing data. Bioinform. 28(7): 907-913 (2012) - 2010
- [c3]Mahsa T. Pourazad, Panos Nasiopoulos, Ali Bashashati:
Random forests-based 2D-to-3D video conversion. ICECS 2010: 150-153
2000 – 2009
- 2009
- [j6]Greg Finak, Ali Bashashati, Ryan Remy Brinkman, Raphael Gottardo:
Merging Mixture Components for Cell Population Identification in Flow Cytometry. Adv. Bioinformatics 2009: 247646:1-247646:12 (2009) - [j5]Ali Bashashati, Ryan Remy Brinkman:
A Survey of Flow Cytometry Data Analysis Methods. Adv. Bioinformatics 2009: 584603:1-584603:19 (2009) - 2007
- [j4]Ali Bashashati, Rabab K. Ward, Gary E. Birch:
Towards Development of a 3-State Self-Paced Brain-Computer Interface. Comput. Intell. Neurosci. 2007 (2007) - 2006
- [j3]Mehrdad Fatourechi, Ali Bashashati, Gary E. Birch, Rabab K. Ward:
Automatic user customization for improving the performance of a self-paced brain interface system. Medical Biol. Eng. Comput. 44(12): 1093-1104 (2006) - [j2]Ali Bashashati, Borna Noureddin, Rabab K. Ward, Peter D. Lawrence, Gary E. Birch:
An experimental study to investigate the effects of a motion tracking electromagnetic sensor during EEG data acquisition. IEEE Trans. Biomed. Eng. 53(3): 559-563 (2006) - [c2]Ali Bashashati, Rabab K. Ward, Gary E. Birch:
Detection of Hand Extension Movements in the Context of a 3-State Asynchronous Brain Interface. ICASSP (5) 2006: 897-900 - 2005
- [c1]Mehrdad Fatourechi, Ali Bashashati, Rabab K. Ward, Gary E. Birch:
A hybrid genetic algorithm approach for improving the performance of the LF-ASD brain computer interface. ICASSP (5) 2005: 345-348 - 2004
- [j1]Jaimie F. Borisoff, Steven G. Mason, Ali Bashashati, Gary E. Birch:
Brain-computer interface design for asynchronous control applications: improvements to the LF-ASD asynchronous brain switch. IEEE Trans. Biomed. Eng. 51(6): 985-992 (2004)
Coauthor Index
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