Oncology | Pathology A panoptic segmentation dataset and deep-learning approach for explainable scoring of tumor-infiltrating lymphocytes. June 28, 2024
Oncology | Pathology A population-level digital histologic biomarker for enhanced prognosis of invasive breast cancer. November 27, 2023
Oncology | Pathology Pitfalls in machine learning-based assessment of tumor-infiltrating lymphocytes in breast cancer: a report of the international immuno-oncology biomarker working group. August 23, 2023
Oncology | Pathology A population-level computational histologic signature for invasive breast cancer prognosis. June 9, 2023
Oncology | Pathology A Deep Learning Approach for Histology-Based Nucleus Segmentation and Tumor Microenvironment Characterization. April 26, 2023
Pathology NuCLS: A scalable crowdsourcing approach and dataset for nucleus classification and segmentation in breast cancer. May 17, 2022
Pathology Explainable nucleus classification using Decision Tree Approximation of Learned Embeddings. September 29, 2021
Digital Health | Pathology Learning from crowds in digital pathology using scalable variational Gaussian processes. June 3, 2021
Pathology Artificial Intelligence and Algorithmic Computational Pathology: Introduction with Renal Allograft Examples. November 19, 2020
Oncology | Pathology High expression of MKK3 is associated with worse clinical outcomes in African American breast cancer patients. September 2, 2020
Oncology | Pathology Joint Region and Nucleus Segmentation for Characterization of Tumor Infiltrating Lymphocytes in Breast Cancer. January 30, 2020
Pathology Structured Crowdsourcing Enables Convolutional Segmentation of Histology Images. April 26, 2019