Ali Bashashati
Director of AI Research at BC Ovarian Cancer Program (OVCARE), Associate Professor in Biomedical Engineering & Pathology
- PhD in Electrical & Computer Engineering, University of British Columbia, Canada
- MSc in Biomedical Engineering, Amirkabir University of Technology, Iran
- BSc in Electrical Engineering, Sharif University of Technology, Iran
I received my B.Sc. degree in Electrical Engineering from Sharif University of Technology (SUT), Iran in 2000, the M.Sc. degree in Biomedical Engineering from Amirkabir University of Technology (Tehran polytechnic), Iran in 2002, and the Ph.D. degree in Electrical & Computer Engineering from the University of British Columbia, Canada in 2007. I am currently the Director of artificial intelligence (AI) Research in the Ovarian Cancer Research Program (OVCARE) of the BC Cancer/UBC as well as a faculty member in the Department of Pathology & Laboratory Medicine and the School of Biomedical Engineering (SBME). My research area lies at the interface between computational, engineering and biomedical sciences. I am interested in developing AI/machine learning, statistical and signal processing algorithms and software infrastructure to combine various sources of omics and imaging data with major emphasis on genomics and digital pathology in cancer.
Papers
-
-
A Deep Learning Approach for the Identification of the Molecular Subtypes of Pancreatic Ductal Adenocarcinoma Based on Whole Slide Pathology Images
-
ATEC23 Challenge: Automated Prediction of Treatment Effectiveness in Ovarian Cancer Using Histopathological Images
-
Benchmarking Histopathology Foundation Models for Ovarian Cancer Bevacizumab Treatment Response Prediction from Whole Slide Images
-
Benchmarking Bulk and Single-Cell Variant Calling Approaches on Chromium scRNA-seq and scATAC-seq Libraries
-
AI-Based Histopathology Image Analysis Reveals a Distinct Subset of Endometrial Cancers
-
VOLTA: An Environment-Aware Contrastive Cell Representation Learning for Histopathology
-
Practical Application of Deep Learning in Diagnostic Neuropathology - Reimagining a Histological Asset in the Era of Precision Medicine
-
Multi-Scale Relational Graph Convolutional Network for Multiple Instance Learning in Histopathology Images
-
Prostate Cancer Risk Stratification by Digital Histopathology and Deep Learning
-
Learning Generalizable AI Models for Multi-Center Histopathology Image Classification
-
Harmonized Molecular Classification; Assessment of a Single-Test ProMisE NGS Tool
-
CO-PILOT: Dynamic Top-Down Point Cloud with Conditional Neighborhood Aggregation for Multi-Gigapixel Histopathology Image Representation
-
ALL-IN: A Local Global Graph-based Distillation Model for Representation Learning of Gigapixel Histopathology Images With Application In Cancer Risk Assessment
-
Sparse Multi-Modal Graph Transformer with Shared-Context Processing for Representation Learning of Giga-pixel Images
-
Artificial Intelligence and Pathomics: Prostate Cancer
-
A Morphology Focused Diffusion Probabilistic Model for Synthesis of Histopathology Images
-
A Novel H&E Color Augmentation for Unannotated Domain Invariance Histopathology Prostate Cancer Classification
-
Gastrointestinal Symptoms and the Severity of COVID-19: Disorders of Gut-Brain Interaction Are an Outcome
-
AI for Prostate Cancer Diagnosis - Hype or Today’s Reality?
-
CCRL: Contrastive Cell Representation Learning
-
Tumor Associated Antigen PRAME Exhibits Dualistic Functions That Are Targetable in Diffuse Large B-Cell Lymphoma
-
Deep Learning-Based Histotype Diagnosis of Ovarian Carcinoma Whole-Slide Pathology Images
-
The Utility of Color Normalization for AI-Based Diagnosis of Hematoxylin and Eosin-Stained Pathology Images
-
Deep Learning-Based Classification Distinguishes Sarcomatoid Malignant Mesotheliomas from Benign Spindle Cell Mesothelial Proliferations
-
Adult-Type Granulosa Cell Tumor of the Ovary: A FOXL2-Centric Disease
-
Endometrial cancer molecular risk stratification is equally prognostic for endometrioid ovarian carcinoma
-
Synthesis of diagnostic quality cancer pathology images
-
Synthesis of high resolution glioma pathology images using generative adversarial networks
-
Classification of Epithelial Ovarian Carcinoma Whole-Slide Pathology Images Using Deep Transfer Learning
-
TMEM30A loss-of-function mutations drive lymphomagenesis and confer therapeutically exploitable vulnerability in B-cell lymphoma
-
Generation of Synthetic Ovarian Carcinoma Microscopic Images for Proficiency Testing
-
Endometrial Cancer Molecular Risk Stratification is Equally Prognostic for Endometrioid Ovarian Carcinoma
-
The coming 15~years in gynaecological pathology: digitisation, artificial intelligence, and new technologies
-
Abstract GMM-047: GENOMIC CHARACTERIZATION OF ADULT-TYPE GRANULOSA CELL TUMORS: IMPLICATIONS FOR PATHOGENESIS AND TREATMENT OF RECURRENT DISEASE
-
Molecular profiling and molecular classification of endometrioid ovarian carcinomas
-
Regulation of pH by Carbonic Anhydrase 9 Mediates Survival of Pancreatic Cancer Cells With Activated KRAS in Response to Hypoxia
-
Abstract 3480:TMEM30Aloss-of-function mutations drive lymphomagenesis and confer therapeutically exploitable vulnerability in B-cell lymphoma
-
Targeting Hypoxia-Induced Carbonic Anhydrase IX Enhances Immune-Checkpoint Blockade Locally and Systemically
-
Molecular profiling of endometrioid ovarian carcinomas
-
Pharmacological systems analysis defines EIF4A3 functions in cell-cycle and RNA stress granule formation
-
Molecular and Genetic Characterization of MHC Deficiency Identifies EZH2 as Therapeutic Target for Enhancing Immune Recognition
-
Integrated structural variation and point mutation signatures in cancer genomes using correlated topic models
-
Double-Hit Gene Expression Signature Defines a Distinct Subgroup of Germinal Center B-Cell-Like Diffuse Large B-Cell Lymphoma
-
The Double-Hit Gene Expression Signature Defines a Clinically and Biologically Distinct Subgroup within GCB-DLBCL
-
Somatic PRAME Deletions Are Associated with Decreased Immunogenicity, Apoptosis Resistance and Poor Outcomes in Diffuse Large B-Cell Lymphoma
-
Abstract B22: Capturing L1 retrotransposon-mediated DNA transductions in endometriosis associated ovarian cancers as a way to track tumor development
-
Abstract PR13: TERT is frequently mutated in adult-type granulosa cell tumors of the ovary compared to other malignant sex cord-stromal tumors
-
Abstract B22: Capturing L1 retrotransposon-mediated DNA transductions in endometriosis associated ovarian cancers as a way to track tumor development
-
TERT promoter mutation in adult granulosa cell tumor of the ovary
-
Interfaces of Malignant and Immunologic Clonal Dynamics in Ovarian Cancer
-
Integrated single-nucleotide and structural variation signatures of DNA-repair deficient human cancers
-
Genetic Characterization and Clinical Impact of Loss of MHC Class I and II Expression in De Novo Diffuse Large B-Cell Lymphoma
-
LINE-1 retrotransposon-mediated DNA transductions in endometriosis associated ovarian cancers
-
The driver landscape of sporadic chordoma
-
Abstract 3381: TERT promoter mutation in granulosa cell tumours of the ovary: Prevalence and prognostic significance
-
Abstract 2445: Integrative genetic analysis identifies therapeutic relevance of cell of origin-specific genetic alterations in diffuse large B-cell lymphoma
-
Kronos: a workflow assembler for genome analytics and informatics
-
CDK12 regulates alternative last exon mRNA splicing and promotes breast cancer cell invasion
-
Abstract DPOC-014: BEYOND CODING MUTATIONS: USING RETROTRANSPOSONS TO PREDICT OVARIAN CANCER DEVELOPMENT
-
Genomic consequences of aberrant DNA repair mechanisms stratify ovarian cancer histotypes
-
Genetic profiling of MYC and BCL2 in diffuse large B-cell lymphoma determines cell-of-origin–specific clinical impact
-
The interface of malignant and immunologic clonal dynamics in high-grade serous ovarian cancer
-
Neural Network Conditional Random Fields for Self-Paced Brain Computer Interfaces
-
Histological Transformation and Progression in Follicular Lymphoma: A Clonal Evolution Study
-
Targeted Sequencing Reveals Novel Gene Mutations Associated with Transformation and Early Progression in Follicular Lymphoma
-
Divergent Modes of Tumor Evolution Underlie Histological Transformation and Early Progression of Follicular Lymphoma
-
Frequent Genetic Alterations of PI3K-AKT Pathway and Their Clinical Significance in Germinal Center B-Cell-like Diffuse Large B-Cell Lymphoma
-
Robust high-performance nanoliter-volume single-cell multiple displacement amplification on planar substrates
-
Abstract LB-324: Genomic consequences of aberrant DNA repair stratify ovarian cancer histotypes
-
Divergent modes of clonal spread and intraperitoneal mixing in high-grade serous ovarian cancer
-
Synchronous Endometrial and Ovarian Carcinomas: Evidence of Clonality
-
Bayesian optimization of BCI parameters
-
User-customized brain computer interfaces using Bayesian optimization
-
Abstract PR07: Synchronous ovarian and endometrial carcinomas: The case for pseudo-metastasis.
-
Pamidronate functionalized nanoconjugates for targeted therapy of focal skeletal malignant osteolysis
-
The genomic landscape of epithelioid sarcoma cell lines and tumours
-
Hidden Markov Support Vector Machines for Self-Paced Brain Computer Interfaces
-
Systematic analysis of somatic mutations impacting gene expression in 12 tumour types
-
Abstract AS18: The somatic mutational landscape of endometriosis associated ovarian cancers and precursor lesions
-
Comparing Different Classifiers in Sensory Motor Brain Computer Interfaces
-
Multifocal endometriotic lesions associated with cancer are clonal and carry a high mutation burden
-
An RCOR1 loss–associated gene expression signature identifies a prognostically significant DLBCL subgroup
-
Dynamics of genomic clones in breast cancer patient xenografts at single-cell resolution
-
TITAN: inference of copy number architectures in clonal cell populations from tumor whole-genome sequence data
-
Abstract LB-312: The somatic mutational landscape of ovarian clear cell carcinoma and its precursor lesions
-
Distinct evolutionary trajectories of primary high-grade serous ovarian cancers revealed through spatial mutational profiling
-
DriverNet: uncovering the impact of somatic driver mutations on transcriptional networks in cancer
-
Integrative analysis of genome-wide loss of heterozygosity and monoallelic expression at nucleotide resolution reveals disrupted pathways in triple-negative breast cancer
-
The genomic and transcriptomic architecture of 2, 000 breast tumours reveals novel subgroups
-
The clonal and mutational evolution spectrum of primary triple-negative breast cancers
-
B Cells With High Side Scatter Parameter by Flow Cytometry Correlate With Inferior Survival in Diffuse Large B-Cell Lymphoma
-
JointSNVMix: a probabilistic model for accurate detection of somatic mutations in normal/tumour paired next-generation sequencing data
-
Feature-based classifiers for somatic mutation detection in tumour–normal paired sequencing data
-
Automated Analysis of Multidimensional Flow Cytometry Data Improves Diagnostic Accuracy Between Mantle Cell Lymphoma and Small Lymphocytic Lymphoma
-
BIOINFORMATICS TO BEDSIDE: AN AUTOMATED AND GENERALIZABLE MULTIDIMENSIONAL FLOW CYTOMETRY DATA ANALYSIS APPROACH IMPROVES DIAGNOSTIC ACCURACY BETWEEN MANTLE CELL LYMPHOMA AND SMALL LYMPHOCYTIC LYMPHOMA
-
A Random Forests-based approach for estimating depth of human body gestures using a single video camera
-
Random forests-based 2D-to-3D video conversion
-
Pairwise network mechanisms in the host signaling response to coxsackievirus B3 infection
-
Per-channel basis normalization methods for flow cytometry data