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👯 Feel free to reach out about research or anything else.

🔭 My [Google scholar]
💬 Keep in touch with me on [Twitter] or [Linkedin]
⚡My Ph.D. is funded by "Hyundai Motor Chung Mong-Koo Global Scholarship" (2021-2025).

Challenges:

  • 1st VQA task and was placed 2nd in Action Recognition and Action Anticipation tasks in [Trauma THOMPSO] challenge at MICCAI2023
  • 3rd in Automated Gleason Grading Challenge [AGGC] at MICCAI2022
  • 19th/1327 Silver medal in UBC Ovarian Cancer Subtype Classification and Outlier Detection [UBC-OCEAN-2024]
  • 16th-F1, 25th-running time in [CellSeg] NeurIPS22
  • 11th in [PAIP 2021] Challenge: Perineural Invasion in Multiple Organ Cancer

Trinh Vuong Thi Le's Projects

annotated_deep_learning_paper_implementations icon annotated_deep_learning_paper_implementations

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

impash icon impash

ECCV-MCV2022 paper: "IMPaSh: A Novel Domain-shift Resistant Representation for Colorectal Cancer Tissue Classification"

jco_learning-pytorch icon jco_learning-pytorch

Medical Image Analysis (MEDIA) paper: Joint Categorical and Ordinal Learning for Cancer Grading in Pathology Images

kd_corff icon kd_corff

DART_MICCAI2023: Boosting knowledge distillation via random Fourier features for prostate cancer grading in histopathology images

moma icon moma

MoMA: Momentum Contrastive Learning with Multi-head Attention-based Knowledge Distillation for Histopathology Image Analysis

msbp_net icon msbp_net

IEEE J-BHI paper: MSBP_Net: Multi-scale binary pattern encoding network for cancer classification in pathology images

qupath-script icon qupath-script

Exporting core tissue and core label from QuPath version 0.2.3

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