Genetics | Metabolism | Pediatrics Improving the second-tier classification of methylmalonic acidemia patients using a machineĀ learning ensemble method. February 24, 2024
Immunology | Oncology | Vaccinology MHCSeqNet2 – Improved Peptide-Class I MHC Binding Prediction for Alleles with Low Data. December 28, 2023
Biomedical imaging | Oncology | Pathology Label-free tumor cells classification using deep learning and high-content imaging. August 26, 2023
Oncology | Pathology ReCasNet: Improving consistency within the two-stage mitosis detection framework. January 11, 2023
Artificial Intelligence | Machine Learning | Neurology An explainable self-attention deep neural network for detecting mild cognitive impairment using multi-input digital drawing tasks. August 9, 2022
Medical Imaging | Radiology Improved image classification explainability with high-accuracy heatmaps. March 7, 2022
Peptidomics | Proteomics Uncovering thousands of new peptides with sequence-mask-search hybrid de novo peptide sequencing framework. October 8, 2019
Immunology | Oncology MHCSeqNet: a deep neural network model for universal MHC binding prediction. May 29, 2019