Related references
Note: Only part of the references are listed.Integrative Analysis of Pathological Images and Multi-Dimensional Genomic Data for Early-Stage Cancer Prognosis
Wei Shao et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2020)
The single-cell pathology landscape of breast cancer
Hartland W. Jackson et al.
NATURE (2020)
Guided Soft Attention Network for Classification of Breast Cancer Histopathology Images
Heechan Yang et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2020)
Molecular targeting of renal cell carcinoma by an oral combination
Andre R. Jordan et al.
ONCOGENESIS (2020)
Multimodal Machine Learning: A Survey and Taxonomy
Tadas Baltrusaitis et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2019)
Segmentation of Nuclei in Histopathology Images by Deep Regression of the Distance Map
Peter Naylor et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2019)
From Detection of Individual Metastases to Classification of Lymph Node Status at the Patient Level: The CAMELYON17 Challenge
Peter Bandi et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2019)
A RNA sequencing-based six-gene signature for survival prediction in patients with glioblastoma
Shuguang Zuo et al.
SCIENTIFIC REPORTS (2019)
SALMON: Survival Analysis Learning With Multi-Omics Neural Networks on Breast Cancer
Zhi Huang et al.
FRONTIERS IN GENETICS (2019)
Ghrelin Upregulates Oncogenic Aurora A to Promote Renal Cell Carcinoma Invasion
Tsung-Chieh Lin et al.
CANCERS (2019)
Oncogenic PITX2 facilitates tumor cell drug resistance by inverse regulation of hOCT3/SLC22A3 and ABC drug transporters in colon and kidney cancers
Wing-Kee Lee et al.
CANCER LETTERS (2019)
Unsupervised Feature Extraction via Deep Learning for Histopathological Classification of Colon Tissue Images
Can Taylan Sari et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2019)
Deep learning with multimodal representation for pancancer prognosis prediction
Anika Cheerla et al.
BIOINFORMATICS (2019)
Deep learning can predict microsatellite instability directly from histology in gastrointestinal cancer
Jakob Nikolas Kather et al.
NATURE MEDICINE (2019)
Deep learning-based classification of mesothelioma improves prediction of patient outcome
Pierre Courtiol et al.
NATURE MEDICINE (2019)
MMP-1 is overexpressed in triple-negative breast cancer tissues and the knockdown of MMP-1 expression inhibits tumor cell malignant behaviors in vitro
Qi-Min Wang et al.
ONCOLOGY LETTERS (2019)
CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images
Yanning Zhou et al.
2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS (ICCVW) (2019)
Predicting cancer outcomes from histology and genomics using convolutional networks
Pooya Mobadersany et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2018)
An anatomic transcriptional atlas of human glioblastoma
Ralph B. Puchalski et al.
SCIENCE (2018)
Histopathologic Features in Relation to Pretreatment Tumor Growth in Patients with Glioblastoma
Vilde Elisabeth Mikkelsen et al.
WORLD NEUROSURGERY (2018)
Classification and mutation prediction from non-small cell lung cancer histopathology images using deep learning
Nicolas Coudray et al.
NATURE MEDICINE (2018)
Cell-Graphs: Image-Driven Modeling of Structure-Function Relationship
Buelent Yener
COMMUNICATIONS OF THE ACM (2017)
Constrained Deep Weak Supervision for Histopathology Image Segmentation
Zhipeng Jia et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2017)
A Dataset and a Technique for Generalized Nuclear Segmentation for Computational Pathology
Neeraj Kumar et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2017)
histoCAT: analysis of cell phenotypes and interactions in multiplex image cytometry data
Denis Schapiro et al.
NATURE METHODS (2017)
Predicting clinical outcomes from large scale cancer genomic profiles with deep survival models
Safoora Yousefi et al.
SCIENTIFIC REPORTS (2017)
ANO9/TMEM16J promotes tumourigenesis via EGFR and is a novel therapeutic target for pancreatic cancer
Ikhyun Jun et al.
BRITISH JOURNAL OF CANCER (2017)
EGFR as a Target for Glioblastoma Treatment: An Unfulfilled Promise
Manfred Westphal et al.
CNS DRUGS (2017)
Image-to-Image Translation with Conditional Adversarial Networks
Phillip Isola et al.
30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)
The 2016 World Health Organization Classification of Tumors of the Central Nervous System: a summary
David N. Louis et al.
ACTA NEUROPATHOLOGICA (2016)
Robust Cell Detection of Histopathological Brain Tumor Images Using Sparse Reconstruction and Adaptive Dictionary Selection
Hai Su et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2016)
Structure-Preserving Color Normalization and Sparse Stain Separation for Histological Images
Abhishek Vahadane et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2016)
Stacked Sparse Autoencoder (SSAE) for Nuclei Detection on Breast Cancer Histopathology Images
Jun Xu et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2016)
Immunohistochemical expression of stem cell markers CD44 and nestin in glioblastomas: Evaluation of their prognostic significance
Elia Guadagno et al.
PATHOLOGY RESEARCH AND PRACTICE (2016)
Data-driven identification of prognostic tumor subpopulations using spatially mapped t-SNE of mass spectrometry imaging data
Walid M. Abdelmoula et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2016)
Glioblastoma: pathology, molecular mechanisms and markers
Kenneth Aldape et al.
ACTA NEUROPATHOLOGICA (2015)
Comprehensive, Integrative Genomic Analysis of Diffuse Lower-Grade Gliomas
Daniel J. Brat et al.
NEW ENGLAND JOURNAL OF MEDICINE (2015)
On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation
Sebastian Bach et al.
PLOS ONE (2015)
HAGE (DDX43) is a biomarker for poor prognosis and a predictor of chemotherapy response in breast cancer
T. M. A. Abdel-Fatah et al.
BRITISH JOURNAL OF CANCER (2014)
Using the molecular classification of glioblastoma to inform personalized treatment
Adriana Olar et al.
JOURNAL OF PATHOLOGY (2014)
Pathologic validation of renal cell carcinoma histology in the Surveillance, Epidemiology, and End Results program
Brian Shuch et al.
UROLOGIC ONCOLOGY-SEMINARS AND ORIGINAL INVESTIGATIONS (2014)
Circulating microRNAs: New biomarkers in diagnosis, prognosis and treatment of cancer (Review)
Alessandro Allegra et al.
INTERNATIONAL JOURNAL OF ONCOLOGY (2012)
Epidemiology of Brain Metastases
Lakshmi Nayak et al.
CURRENT ONCOLOGY REPORTS (2012)
The cBio Cancer Genomics Portal: An Open Platform for Exploring Multidimensional Cancer Genomics Data
Ethan Cerami et al.
CANCER DISCOVERY (2012)
Intra-tumour heterogeneity: a looking glass for cancer?
Andriy Marusyk et al.
NATURE REVIEWS CANCER (2012)
Integrated genomic analyses of ovarian carcinoma
D. Bell et al.
NATURE (2011)
Malignant gliomas in adults
Patrick Y. Wen et al.
NEW ENGLAND JOURNAL OF MEDICINE (2008)
The logrank test
JM Bland et al.
BRITISH MEDICAL JOURNAL (2004)
The genetic basis of cancer of the kidney
WM Linehan et al.
JOURNAL OF UROLOGY (2003)
VHL mutations and their correlation with tumour cell proliferation, microvessel density, and patient prognosis in clear cell renal cell carcinoma
P Schraml et al.
JOURNAL OF PATHOLOGY (2002)