Oncology | Pathology A panoptic segmentation dataset and deep-learning approach for explainable scoring of tumor-infiltrating lymphocytes. June 28, 2024
Oncology | Pathology Translating prognostic quantification of c-MYC and BCL2 from tissue microarrays to whole slide images in diffuse large B-cell lymphoma using deep learning. January 19, 2024
Computational Pathology | Pathology Learning from crowds for automated histopathological image segmentation. January 9, 2024
Oncology | Pathology A population-level digital histologic biomarker for enhanced prognosis of invasive breast cancer. November 27, 2023
Hematology | Pathology Automated Deep Learning-Based Diagnosis and Molecular Characterization of Acute Myeloid Leukemia using Flow Cytometry. November 4, 2023
Hematology | Pathology Automated Deep Learning-Based Diagnosis and Molecular Characterization of Acute Myeloid Leukemia using Flow Cytometry. October 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
Machine Learning | Obstetrics | Pathology GestAltNet: aggregation and attention to improve deep learning of gestational age from placental whole-slide images. March 6, 2021
Oncology | Pathology High expression of MKK3 is associated with worse clinical outcomes in African American breast cancer patients. September 2, 2020