Publications

Peer-reviewed work in computational pathology and deep learning — 8 publications, 170 citations, h-index 4.

170 citations · h-index 4 · i10-index 3 · Google Scholar

• Domain generalization across tumor types, laboratories, and species — insights from the 2022 edition of the Mitosis Domain Generalization Challenge

  Medical Image Analysis, vol. 94, 2024

  85 citations

• MITNET: a novel dataset and a two-stage deep learning approach for mitosis recognition in whole slide images of breast cancer tissue

  Neural Computing and Applications, vol. 34, 2022

  37 citations

• Tubule-U-Net: a novel dataset and deep learning-based tubule segmentation framework in whole slide images of breast cancer

  Scientific Reports, vol. 13, 2023

  36 citations

• Patch-based approaches to whole slide histologic grading of breast cancer using convolutional neural networks

  In: Diagnostic Biomedical Signal and Image Processing Applications with Deep Learning, 2023 — book chapter

  5 citations

• Nuclei Detection on Breast Cancer Histopathology Images Using RetinaNet

  SIU 2021 — 29th IEEE Signal Processing and Communications Applications Conference

  4 citations

• Whole slide histologic grading of breast cancer using convolutional neural networks

  Journal of Clinical Oncology, vol. 40, no. 16_suppl, 2022 — abstract

  2 citations

• Patch-Level Nuclear Pleomorphism Scoring Using Convolutional Neural Networks

  CAIP 2021 — 19th International Conference on Computer Analysis of Images and Patterns (Springer)

  1 citation

• AI-Powered Automated Analysis of Mitotic Figures in Soft Tissue Sarcomas Whole Slide Images

  Laboratory Investigation, vol. 104, no. 3, 2024 — abstract