Faculty profile
Xingyu Li
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Research
Latest papers
Enhanced Prognostication of Early Breast Cancer Outcomes Using Deep Learning on Merged Multistain and Multicolor-Depth Tumor Histopathology.
Microscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada · 2025
Metabolic light absorption, scattering, and emission (MetaLASE) microscopy.
Science advances · 2024
Bridging Histopathology and Radiomics Toward Prognosis of Metastasis in Early Breast Cancer.
Microscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada · 2024
Latest funding
- $96,000
Weak supervision with imperfect annotations for medical image computing
NSERC · 2021 · Principal investigator
- $100,000
High entropy alloy design for dissolvable tools using machine learning
NSERC · 2021 · Co-investigator
- $12,500
Weak supervision with imperfect annotations for medical image computing
NSERC · 2021 · Principal investigator
7 publications.
Enhanced Prognostication of Early Breast Cancer Outcomes Using Deep Learning on Merged Multistain and Multicolor-Depth Tumor Histopathology.
Lin Y, Li X, Milovanović J, Todorović Raković N, Vranes V, Vujasinović T, Kanjer K, Radulovic M
Metabolic light absorption, scattering, and emission (MetaLASE) microscopy.
Restall BS, Haven NJM, Martell MT, Cikaluk BD, Wang J, Kedarisetti P, Tejay S, Adam BA, Sutendra G, Li X, Zemp RJ
Bridging Histopathology and Radiomics Toward Prognosis of Metastasis in Early Breast Cancer.
Radulović M, Li X, Djuričić GJ, Milovanović J, Todorović Raković N, Vujasinović T, Banovac D, Kanjer K
Deep learning-enabled realistic virtual histology with ultraviolet photoacoustic remote sensing microscopy.
Martell MT, Haven NJM, Cikaluk BD, Restall BS, McAlister EA, Mittal R, Adam BA, Giannakopoulos N, Peiris L, Silverman S, Deschenes J, Li X, Zemp RJ
Towards clinical applicability and computational efficiency in automatic cranial implant design: An overview of the AutoImplant 2021 cranial implant design challenge.
Li J, Ellis DG, Kodym O, Rauschenbach L, Rieß C, Sure U, Wrede KH, Alvarez CM, Wodzinski M, Daniol M, Hemmerling D, Mahdi H, Clement A, Kim E, Fishman Z, Whyne CM, Mainprize JG, Hardisty MR, Pathak S, Sindhura C, Gorthi RKSS, Kiran DV, Gorthi S, Yang B, Fang K, Li X, Kroviakov A, Yu L, Jin Y, Pepe A, Gsaxner C, Herout A, Alves V, Španěl M, Aizenberg MR, Kleesiek J, Egger J
AI-Empowered Computational Examination of Chest Imaging for COVID-19 Treatment: A Review.
Deng H, Li X
How much off-the-shelf knowledge is transferable from natural images to pathology images?
Li X, Plataniotis KN
Weak supervision with imperfect annotations for medical image computing
Principal investigators: Li, Xingyu
Keywords: weak supervision; medical image computing; machine learning; image analysis; self supervision; imperfection annotation; representation learning; bayesian inference
High entropy alloy design for dissolvable tools using machine learning
Principal investigators: Henein, Hani H
Weak supervision with imperfect annotations for medical image computing
Principal investigators: Li, Xingyu
A Framework for Semi-Autonomous and Autonomous Surgery Using Intelligent Robots
Principal investigators: Tavakoli, Mahdi
Keywords: Robotic surgery Image-guided surgery Digital surgery Surgical assistance Surgical automation
Deep learning for digital and virtual histology
Principal investigators: Zemp, Roger RJ
Keywords: artificial intelligence; deep convolutional neural networks; digital pathology; histology; machine learning
Sensor fusion enabled machine learning for quality and material optimization in robotic additive manufacturing
Principal investigators: Qureshi, Ahmed Jawad
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
Frequent collaborators
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