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Key
KNOW
Name
knowledgebase
Description
Created by
5d190e92e3f1b90d1765b038 (Nov 27, 2022)
Available Pages:
Group publications
Conference Papers
2023 SPIE: Integrated image-processing and transcriptomics of cancer-associated fibroblasts in breast cancer
2023 MILLanD MICCAI Workshop: Masked Image Modeling for Label-Efficient Segmentation in Two-Photon Excitation Microscopy
Journal Papers
2023: A radiomic biomarker for prognosis of resected colorectal cancer liver metastases generalizes across MRI contrast agents
Presentations and Conference Abstracts
2023 ImNO: Creating Better Whole Slide Image Datasets: Quality Control Detection of Out Of Focus Patches in Digital Pathology
2023 Pathology Visions: Quality Control Detection of Out Of Focus Patches in Digital Pathology
2023 SRI Summer Student Poster: Segmentation of Colorectal Liver Metastases using Deep Learning Networks
2023 SRI Summer Student Poster: CT Radiomics For Transarterial Chemoembolization of Colorectal Cancer Liver Metastases
2023 CBCS: BI-RADS BERT and Using Section Segmentation to Understand Radiology Reports
2023 MBP Symposium: Interpretable Cancer Detection in Lymph Node Whole-Slide Histopathology Images
2023 ImNO: Background Parenchymal Enhancement Estimation on DCE Breast MRI using a Siamese Network
2015 MICCAI workshop: Clustering Analysis for Semi-supervised Learning Improves Classification Performance of Digital Pathology
2023 ECP: A Novel Deep Neural Network for the Histologic Diagnosis of Breast Specimens
2023 Thesis presentation -- Improving survival analysis with machine learning and radiomics -- Jianan Chen
2021 MICCAI AMINN: Autoencoder-Based Multiple Instance Neural Network Improves Outcome Prediction in Multifocal Liver Metastases
2019 MICCAI Unsupervised Clustering of Quantitative Imaging Phenotypes in Colorectal Cancer Liver Metastases
2019 SABCS Texture heterogeneity of breast tumour in magnetic resonance imaging can be explained by differentially regulated genes