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Isaac Xu

Dalhousie University · CA
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Area of research
Pulmonary and Respiratory Medicine · Genetics
Research interest
Research interests include Prostate Cancer Diagnosis and Treatment, Genomics and Rare Diseases, Radiomics and Machine Learning in Medical Imaging, and Genetic Neurodegenerative Diseases.
h-index
9
citations
256
works
47
NIH funding
primary concept
email

Recent publications

Recent Advances in the Genetics of Ataxias: An Update on Novel Autosomal Dominant Repeat Expansions
Current Neurology and Neuroscience Reports 2025cited by 16position: middledoi
BenthicNet: A global compilation of seafloor images for deep learning applications
Scientific Data 2025cited by 14position: middledoi
A common flanking variant is associated with enhanced stability of the FGF14-SCA27B repeat locus
Nature Genetics 2024cited by 34position: middledoi
RExPRT: a machine learning tool to predict pathogenicity of tandem repeat loci
Genome biology 2024cited by 20position: middledoi
The GENESIS database and tools: A decade of discovery in Mendelian genomics
Experimental Neurology 2024cited by 5position: middledoi
Generative Adversarial Networks Can Create High Quality Artificial Prostate Cancer Magnetic Resonance Images
Journal of Personalized Medicine 2023cited by 20position: firstdoi
Uncovering prostate cancer aggressiveness signal in T2‐weighted MRI through a three‐reference tissues normalization technique
NMR in Biomedicine 2023cited by 6position: middledoi
Deep Learning for Per-Fraction Automatic Segmentation of Gross Tumor Volume (GTV) and Organs at Risk (OARs) in Adaptive Radiotherapy of Cervical Cancer
Frontiers in Oncology 2022cited by 27position: middledoi
Longitudinal Changes and Predictive Value of Multiparametric MRI Features for Prostate Cancer Patients Treated with MRI-Guided Lattice Extreme Ablative Dose (LEAD) Boost Radiotherapy
Cancers 2022cited by 15position: middledoi
Segmentation of prostate and prostate zones using deep learning
Strahlentherapie und Onkologie 2020cited by 49position: middledoi
Deep Learning Approach for Multi-Reference Tissue Normalization on T2-weighted MRI in Longitudinal Dataset from Prospective Radiotherapy Trial for Prostate Cancer
International Journal of Radiation Oncology*Biology*Physics 2020cited by 2position: middledoi

Grants

No grants ingested yet.

Frequent collaborators

Radka Stoyanova · University of Miami6 papers (2020–2023)Adrian Breto · University of Miami6 papers (2020–2023)Mohammad Alhusseini · University of Miami4 papers (2022–2023)Matthew C. Abramowitz · University of Miami4 papers (2020–2023)Alan Pollack · University of Miami4 papers (2020–2023)Alan Dal Pra · University of Miami4 papers (2020–2023)Benjamin Spieler · University of Miami3 papers (2022–2023)Ahmad Algohary · University of Miami3 papers (2022–2023)Olmo Zavala‐Romero · Florida State University3 papers (2020–2022)Sanoj Punnen · University of Miami3 papers (2022–2023)Oleksandr N. Kryvenko · University of Miami2 papers (2022–2023)Patricia Castillo · University of Miami2 papers (2022–2023)Stephan Züchner · University of Miami2 papers (2024–2025)Matt C. Danzi · University of Miami2 papers (2024–2025)John C. Ford · University of Miami2 papers (2022–2023)Sandra M. Gaston · University of Miami2 papers (2022–2023)Bernard Brais · McGill University1 papers (2025–2025)David Asher · University of Miami1 papers (2022–2022)Sarah Fazal · University of Miami1 papers (2024–2024)Egor Dolzhenko · Pacific Biosciences (United States)1 papers (2024–2024)
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