祝骋路 🧋
祝骋路

Assistant Researcher

About Me

Chenglu Zhu is an assistant researcher in Artificial Intelligence & Biomedical Image Analysis Lab(Lin Yang’s Lab), School of Engineering, Westlake University. His current research interests include image processing and computer vision, especially the artificial intelligence of medical image analysis.

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Interests
  • Artificial Intelligence
  • Computational Vision
  • BioMedical / Pathology Analysis
Education
  • PhD Control Science & Engineering

    Zhejiang University of Technology

  • BEng Computer Science & Technology

    China jiliang University

📚 My Research

As a research scientist specializing in the intersection of AI and pathology, I am committed to developing robust and efficient diagnostic assistance algorithms that aim to transform the current landscape of pathology.

By integrating fundamental research with clinical practice, my goal is to drive significant breakthroughs in the field, enhancing diagnostic accuracy and patient outcomes.

I am eager to collaborate with fellow researchers and industry experts to advance our understanding and application of AI in pathology, ultimately improving healthcare for all.😃

Featured Publications
Recent Publications
(2024). PathAsst: Generative Foundation AI Assistant for Pathology. In AAAI 2024.
(2024). DPA-P2PNet: Deformable Proposal-Aware P2PNet for Accurate Point-Based Cell Detection. Proceedings of the AAAI Conference on Artificial Intelligence.
(2024). Gradient-aware learning for joint biases: Label noise and class imbalance. Neural Networks.
(2024). PathMMU: A Massive Multimodal Expert-Level Benchmark for Understanding and Reasoning in Pathology. arXiv preprint arXiv:2401.16355.
(2023). Assessing the Robustness of Deep Learning-Assisted Pathological Image Analysis Under Practical Variables of Imaging System. ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Recent News

Pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures.

PyTorch

PyTorch is a Python package that provides tensor computation (like NumPy) with strong GPU acceleration.

scikit-learn

scikit-learn is a Python module for machine learning built on top of SciPy and is distributed under the 3-Clause BSD license.