Ali Bashashati
Orcid: 0000-0002-4212-7224
According to our database1,
Ali Bashashati
authored at least 29 papers
between 2004 and 2025.
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Bibliography
2025
ATEC23 Challenge: Automated prediction of treatment effectiveness in ovarian cancer using histopathological images.
Medical Image Anal., 2025
2024
Multi-scale relational graph convolutional network for multiple instance learning in histopathology images.
Medical Image Anal., 2024
CoRR, 2024
Benchmarking Histopathology Foundation Models for Ovarian Cancer Bevacizumab Treatment Response Prediction from Whole Slide Images.
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
A novel H&E color augmentation for domain invariance classification of unannotated histopathology prostate cancer images.
Proceedings of the Medical Imaging 2023: Digital and Computational Pathology, 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
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
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016
Proceedings of the 2016 IEEE Canadian Conference on Electrical and Computer Engineering, 2016
2015
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
Proceedings of the 17th IEEE International Conference on Electronics, 2010
2009
Adv. Bioinformatics, 2009
2007
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