Ali Bashashati

Orcid: 0000-0002-4212-7224

According to our database1, Ali Bashashati authored at least 25 papers between 2004 and 2024.

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Bibliography

2024
GRASP: GRAph-Structured Pyramidal Whole Slide Image Representation.
CoRR, 2024

2023
VOLTA: an Environment-Aware Contrastive Cell Representation Learning for Histopathology.
CoRR, 2023

AMIGO: Sparse Multi-Modal Graph Transformer with Shared-Context Processing for Representation Learning of Giga-pixel Images.
CoRR, 2023

A Morphology Focused Diffusion Probabilistic Model for Synthesis of Histopathology Images.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

ALL-IN: ALocal GLobal Graph-Based DIstillatioN Model for Representation Learning of Gigapixel Histopathology Images With Application In Cancer Risk Assessment.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

CO-PILOT: Dynamic Top-Down Point Cloud with Conditional Neighborhood Aggregation for Multi-Gigapixel Histopathology Image Representation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Sparse Multi-Modal Graph Transformer with Shared-Context Processing for Representation Learning of Giga-pixel Images.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Multi-Scale Relational Graph Convolutional Network for Multiple Instance Learning in Histopathology Images.
CoRR, 2022

CCRL: Contrastive Cell Representation Learning.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2020
Classification of Epithelial Ovarian Carcinoma Whole-Slide Pathology Images Using Deep Transfer Learning.
CoRR, 2020

2019
Integrated structural variation and point mutation signatures in cancer genomes using correlated topic models.
PLoS Comput. Biol., 2019

2016
Neural Network Conditional Random Fields for Self-Paced Brain Computer Interfaces.
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

Bayesian optimization of BCI parameters.
Proceedings of the 2016 IEEE Canadian Conference on Electrical and Computer Engineering, 2016

2015
Hidden Markov Support Vector Machines for Self-Paced Brain Computer Interfaces.
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

2012
JointSNVMix: a probabilistic model for accurate detection of somatic mutations in normal/tumour paired next-generation sequencing data.
Bioinform., 2012

Feature-based classifiers for somatic mutation detection in tumour-normal paired sequencing data.
Bioinform., 2012

2010
Random forests-based 2D-to-3D video conversion.
Proceedings of the 17th IEEE International Conference on Electronics, 2010

2009
Merging Mixture Components for Cell Population Identification in Flow Cytometry.
Adv. Bioinformatics, 2009

A Survey of Flow Cytometry Data Analysis Methods.
Adv. Bioinformatics, 2009

2007
Towards Development of a 3-State Self-Paced Brain-Computer Interface.
Comput. Intell. Neurosci., 2007

2006
An experimental study to investigate the effects of a motion tracking electromagnetic sensor during EEG data acquisition.
IEEE Trans. Biomed. Eng., 2006

Automatic user customization for improving the performance of a self-paced brain interface system.
Medical Biol. Eng. Comput., 2006

Detection of Hand Extension Movements in the Context of a 3-State Asynchronous Brain Interface.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

2005
A hybrid genetic algorithm approach for improving the performance of the LF-ASD brain computer interface.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2004
Brain-computer interface design for asynchronous control applications: improvements to the LF-ASD asynchronous brain switch.
IEEE Trans. Biomed. Eng., 2004


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