Scholar

Tony Xu

Google Scholar ID: 3vwB4oEAAAAJ

University of Toronto

Computer VisionMedical ImagingDeep Learning

Homepage↗Google Scholar↗

Citations & Impact

All-time

Citations

516

H-index

4

i10-index

2

Publications

16

Co-authors

0

Contact

CVOpen ↗GitHubOpen ↗LinkedInOpen ↗

Publications

6 items

The MAMA-MIA Challenge: Advancing Generalizability and Fairness in Breast MRI Tumor Segmentation and Treatment Response Prediction

2026

Cited

0

Uncertainty and Fairness Awareness in LLM-Based Recommendation Systems

2026

Cited

0

FairEval: Evaluating Fairness in LLM-Based Recommendations with Personality Awareness

2025

Cited

0

ModalTune: Fine-Tuning Slide-Level Foundation Models with Multi-Modal Information for Multi-task Learning in Digital Pathology

2025

Cited

0

A generalizable 3D framework and model for self-supervised learning in medical imaging

2025

Cited

0

SELMA3D challenge: Self-supervised learning for 3D light-sheet microscopy image segmentation

2025

Cited

0

Resume (English only)

Academic Achievements

Recipient of the Google PhD Fellowship in Health and Bioscience
ICCV 2025: Co-first authored 'ModalTune' for fine-tuning slide-level foundation models in digital pathology
MICCAI 2025: First-place solutions in both SELMA3D 2025 Challenge and FLARE 2025 Challenge Task 4
SELMA3D Challenge (MICCAI 2024 Workshop): Third place with the 3DINO method
SemiCOL Challenge (EDCP 2023): Second place in both challenge tracks

Co-authors

0 total

Co-authors: 0 (list not available)