Brief-exposure to preoperative bevacizumab reveals a TGF-β signature predictive of response in HER2-negative breast cancers. Read more about Brief-exposure to preoperative bevacizumab reveals a TGF-β signature predictive of response in HER2-negative breast cancers.
A Radio-genomics Approach for Identifying High Risk Estrogen Receptor-positive Breast Cancers on DCE-MRI: Preliminary Results in Predicting OncotypeDX Risk Scores. Read more about A Radio-genomics Approach for Identifying High Risk Estrogen Receptor-positive Breast Cancers on DCE-MRI: Preliminary Results in Predicting OncotypeDX Risk Scores.
Radiomics Analysis on FLT-PET/MRI for Characterization of Early Treatment Response in Renal Cell Carcinoma: A Proof-of-Concept Study. Read more about Radiomics Analysis on FLT-PET/MRI for Characterization of Early Treatment Response in Renal Cell Carcinoma: A Proof-of-Concept Study.
Quantifying Post- Laser Ablation Prostate Therapy Changes on MRI via a Domain-Specific Biomechanical Model: Preliminary Findings. Read more about Quantifying Post- Laser Ablation Prostate Therapy Changes on MRI via a Domain-Specific Biomechanical Model: Preliminary Findings.
Stain Normalization using Sparse AutoEncoders (StaNoSA): Application to digital pathology. Read more about Stain Normalization using Sparse AutoEncoders (StaNoSA): Application to digital pathology.
A Deep Convolutional Neural Network for segmenting and classifying epithelial and stromal regions in histopathological images. Read more about A Deep Convolutional Neural Network for segmenting and classifying epithelial and stromal regions in histopathological images.
Out-of-Sample Extrapolation utilizing Semi-Supervised Manifold Learning (OSE-SSL): Content Based Image Retrieval for Histopathology Images. Read more about Out-of-Sample Extrapolation utilizing Semi-Supervised Manifold Learning (OSE-SSL): Content Based Image Retrieval for Histopathology Images.
Emerging Themes in Image Informatics and Molecular Analysis for Digital Pathology. Read more about Emerging Themes in Image Informatics and Molecular Analysis for Digital Pathology.
Deep learning for digital pathology image analysis: A comprehensive tutorial with selected use cases. Read more about Deep learning for digital pathology image analysis: A comprehensive tutorial with selected use cases.
AutoStitcher: An Automated Program for Efficient and Robust Reconstruction of Digitized Whole Histological Sections from Tissue Fragments. Read more about AutoStitcher: An Automated Program for Efficient and Robust Reconstruction of Digitized Whole Histological Sections from Tissue Fragments.
