Showing 1–12 of 12 results
/ Date/ Name
Jan 25, 2025Predictive Modeling and Uncertainty Quantification of Fatigue Life in Metal Alloys using Machine LearningJan 20, 2025GCSAM: Gradient Centralized Sharpness Aware MinimizationNov 4, 2023Uncertainty Quantification in Multivariable Regression for Material Property Prediction with Bayesian Neural NetworksAug 27, 2023Post-Hoc Explainability of BI-RADS Descriptors in a Multi-task Framework for Breast Cancer Detection and SegmentationOct 27, 2021Sharp-GAN: Sharpness Loss Regularized GAN for Histopathology Image SynthesisOct 27, 2021TA-Net: Topology-Aware Network for Gland SegmentationOct 5, 2021BI-RADS-Net: An Explainable Multitask Learning Approach for Cancer Diagnosis in Breast Ultrasound ImagesSep 30, 2021Bend-Net: Bending Loss Regularized Multitask Learning Network for Nuclei Segmentation in Histopathology ImagesMar 4, 2021Evaluation of Complexity Measures for Deep Learning Generalization in Medical Image AnalysisFeb 29, 2020A Review of Computational Approaches for Evaluation of Rehabilitation ExercisesFeb 3, 2020Bending Loss Regularized Network for Nuclei Segmentation in Histopathology ImagesOct 20, 2019Attention Enriched Deep Learning Model for Breast Tumor Segmentation in Ultrasound Images