Showing 1–20 of 66 results
/ Date/ Name
Apr 5, 2023Topology-Guided Multi-Class Cell Context Generation for Digital PathologyNov 22, 2024RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking ConsistencyJun 22, 2025CDG-MAE: Learning Correspondences from Diffusion Generated ViewsJun 5, 2025PixCell: A generative foundation model for digital histopathology imagesSep 1, 2023PathLDM: Text conditioned Latent Diffusion Model for HistopathologySep 12, 2023Attention De-sparsification Matters: Inducing Diversity in Digital Pathology Representation LearningDec 12, 2023Learned representation-guided diffusion models for large-image generationApr 23, 2022A Novel Framework for Characterization of Tumor-Immune Spatial Relationships in Tumor MicroenvironmentNov 2, 2013Comparative Performance Analysis of Intel Xeon Phi, GPU, and CPUDec 11, 2016Efficient Methods and Parallel Execution for Algorithm Sensitivity Analysis with Parameter Tuning on Microscopy Imaging DatasetsMay 14, 2015Performance Analysis and Efficient Execution on Systems with multi-core CPUs, GPUs and MICsApr 1, 2025GECKO: Gigapixel Vision-Concept Contrastive Pretraining in HistopathologyAug 3, 2025Measuring and Predicting Where and When Pathologists Focus their Visual Attention while Grading Whole Slide Images of CancerDec 24, 2025TICON: A Slide-Level Tile Contextualizer for Histopathology Representation LearningJul 17, 2022Gigapixel Whole-Slide Images Classification using Locally Supervised LearningSep 14, 2012Efficient Irregular Wavefront Propagation Algorithms on Hybrid CPU-GPU MachinesDec 23, 2022Precise Location Matching Improves Dense Contrastive Learning in Digital PathologyMar 21, 2023Prompt-MIL: Boosting Multi-Instance Learning Schemes via Task-specific Prompt TuningJun 15, 2022AI and Pathology: Steering Treatment and Predicting OutcomesNov 28, 2018Disease phenotyping using deep learning: A diabetes case study