Fangfang Liu

Deep Multi-Scale U-Net Architecture and Noise-Robust Training Strategies for Histopathological Image Segmentation

Cheryl Gillet, A. Grigoriadis, N. Kurian, 2022, ArXiv.

Deep Multi-Scale U-Net Architecture and Label-Noise Robust Training Strategies for Histopathological Image Segmentation

Cheryl Gillet, A. Grigoriadis, N. Kurian, 2022, 2022 IEEE 22nd International Conference on Bioinformatics and Bioengineering (BIBE).

Tumor-Infiltrating B Lymphocyte Profiling Identifies IgG-Biased, Clonally Expanded Prognostic Phenotypes in Triple-Negative Breast Cancer

A. Tutt, S. Pinder, S. Tsoka, 2021, Cancer Research.

Multiscale deep learning framework captures systemic immune features in lymph nodes predictive of triple negative breast cancer outcome in large‐scale studies

S. Pinder, S. Linn, A. Grigoriadis, 2023, The Journal of pathology.

Systemic immune reaction in axillary lymph nodes adds to tumor-infiltrating lymphocytes in triple-negative breast cancer prognostication

A. Purushotham, S. Pinder, R. Salgado, 2021, npj Breast Cancer.