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TCIA Analysis Results
Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach (Radiomics-Tumor-Phenotypes)
Outcome Prediction in Patients with Glioblastoma by Using Imaging, Clinical, and Genomic Biomarkers: Focus on the Nonenhancing Component of the Tumor (GBM-MR-NER-Outcomes)
Radiogenomic Analysis of Breast Cancer: Luminal B Molecular Subtype Is Associated with Enhancement Dynamics at MR Imaging (LuminalB-Breast-MR-Enhancement)
Glioblastoma multiforme: exploratory radiogenomic analysis by using quantitative image features (TCGA-GBM-QI-Radiogenomics)
Radiogenomics of Clear Cell Renal Cell Carcinoma: Preliminary Findings of The Cancer Genome Atlas-Renal Cell Carcinoma (TCGA-RCC) Research Group (TCGA-KIRC-Radiogenomics)
Segmentation of Pulmonary Nodules in Computed Tomography Using a Regression Neural Network Approach and its Application to the Lung Image Database Consortium and Image Database Resource Initiative Dataset (Pulmonary-Nodules-Segmentation)
MR Imaging Predictors of Molecular Profile and Survival: Multi-institutional Study of the TCGA Glioblastoma Data Set (TCGA-GBM-Radiogenomics)
Glioblastoma: Imaging Genomic Mapping Reveals Sex-specific Oncogenic Associations of Cell Death (Glioblastoma-Genomic-Mapping)
TCGA Breast Phenotype Research Group Data sets (TCGA-Breast-Radiogenomics)
QIN multi-site collection of Lung CT data with Nodule Segmentations (QIN-LungCT-Seg)
NCI-ISBI 2013 Challenge: Automated Segmentation of Prostate Structures (ISBI-MR-Prostate-2013)
Spatial Habitat Features derived from Multiparametric Magnetic Resonance Imaging data from Glioblastoma Multiforme cases (Spatial-Features-MRI-GBM)
Imaging Features, and Correlations with Genomic and Clinical Data from the TCGA Ovarian Radiology Research Group (TCGA-OV-Radiogenomics)
Image Data Used in the Simulations of "The Role of Image Compression Standards in Medical Imaging: Current Status and Future Trends" (Image-Compression-Simulation)
Segmentation Labels and Radiomic Features for the Pre-operative Scans of the TCGA-GBM collection (BraTS-TCGA-GBM)
Segmentation Labels and Radiomic Features for the Pre-operative Scans of the TCGA-LGG collection (BraTS-TCGA-LGG)
ROI Masks Defining Low-Grade Glioma Tumor Regions In the TCGA-LGG Image Collection (TCGA-LGG-Mask)
Long and Short Survival in Adenocarcinoma Lung CTs (LUAD-CT-Survival)
NSCLC Radiogenomics: Initial Stanford Study of 26 Cases (NSCLC Radiogenomics-Stanford)
Radiomics outcome prediction in Oropharyngeal cancer
Tumor-Infiltrating Lymphocytes Maps from TCGA H&E Whole Slide Pathology Images (TIL-WSI-TCGA)
Crowds Cure Cancer: Data collected at the RSNA 2017 annual meeting (Crowds-Cure-2017)
Data from Head and Neck Cancer CT Atlas (Head-Neck-CT-Atlas)
DICOM-SEG Conversions for TCGA-LGG and TCGA-GBM Segmentation Datasets (DICOM-Glioma-SEG)
Standardized representation of the TCIA LIDC-IDRI annotations using DICOM (DICOM-LIDC-IDRI-Nodules)
RIDER Lung CT Segmentation Labels from: Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach (RIDER-LungCT-Seg)
Integration of CT-based Qualitative and Radiomic Features with Proteomic Variables in Patients with High-Grade Serous Ovarian Cancer: An Exploratory Analysis (TCGA-OV-Proteogenomics)
DICOM SR of clinical data and measurement for breast cancer collections to TCIA (DICOM-SR-Breast-Clinical)
Crowds Cure Cancer: Data collected at the RSNA 2018 annual meeting (Crowds-Cure-2018)
SDTM datasets of clinical data and measurements for selected cancer collections to TCIA (DI-Cubed-Reports)
High Resolution Prostate Segmentations for the ProstateX-Challenge (PROSTATEx-Seg-HiRes)
Dataset of Segmented Nuclei in Hematoxylin and Eosin Stained Histopathology Images (Pan-Cancer-Nuclei-Seg)
Thoracic Volume and Pleural Effusion Segmentations in Diseased Lungs for Benchmarking Chest CT Processing Pipelines (PleThora)
Standardization in Quantitative Imaging: A Multi-center Comparison of Radiomic Feature Values (Radiomic-Feature-Standards)
Multi-Institutional Paired Expert Segmentations and Radiomic Features of the Ivy GAP Dataset (IvyGAP-Radiomics)
MRQy quality measures for TCIA MRI datasets (MRQy-Quality-Measures)
QIBA VolCT Group 1B Round 2 No Change Size Measurements (QIBA-VolCT-1B)
PROSTATEx Zone Segmentations (PROSTATEx-Seg-Zones)
Expert tumor annotations and radiomic features for the ISPY1/ACRIN 6657 trial data collection (ISPY1-Tumor-SEG-Radiomics)
Annotations for Chemotherapy and Radiation Therapy in Treating Young Patients With Newly Diagnosed, Previously Untreated, High-Risk Medulloblastoma/PNET (ACNS0332-Tumor-Annotations)
RSNA-ASNR-MICCAI-BraTS-2021
Annotations for Combination Chemotherapy With or Without Radiation Therapy in Treating Young Patients With Newly Diagnosed Stage III or Stage IV Wilms Tumor (AREN0533-Tumor-Annotations)
Annotations for Combination Chemotherapy and Surgery in Treating Young Patients With Wilms Tumor (AREN0534-Tumor-Annotations)
Annotations for Vincristine, Dactinomycin, and Doxorubicin With or Without Radiation Therapy or Observation Only in Treating Younger Patients Who Are Undergoing Surgery for Newly Diagnosed Stage I, II, or III Wilms' Tumor (AREN0532-Tumor-Annotations)
Annotations for Combination Chemotherapy and Radiation Therapy in Treating Young Patients With Newly Diagnosed Hodgkin Lymphoma (AHOD0831-Tumor-Annotations)
Annotations for Rituximab and Combination Chemotherapy in Treating Patients With Diffuse Large B-Cell Non-Hodgkin's Lymphoma (CALGB50303-Tumor-Annotations)
SAROS - A large, heterogeneous, and sparsely annotated segmentation dataset on CT imaging data (SAROS)
Annotations for The Clinical Proteomic Tumor Analysis Consortium Clear Cell Renal Cell Carcinoma Collection (CPTAC-CCRCC-Tumor-Annotations)
Annotations for The Clinical Proteomic Tumor Analysis Consortium Pancreatic Ductal Adenocarcinoma Collection (CPTAC-PDA-Tumor-Annotations)
Annotations for The Clinical Proteomic Tumor Analysis Consortium Uterine Corpus Endometrial Carcinoma Collection (CPTAC-UCEC-Tumor-Annotations)
Annotations for The Clinical Proteomic Tumor Analysis Consortium Head and Neck Squamous Cell Carcinoma Collection (CPTAC-HNSCC-Tumor-Annotations)
Annotations for Radiation Therapy, Amifostine, and Chemotherapy in Treating Young Patients With Newly Diagnosed Nasopharyngeal Cancer Collection (ARAR0331-Tumor-Annotations)
Annotations for ACRIN-HNSCC-FDG-PET/CT Collection (ACRIN 6685-Tumor-Annotations)
Annotations for Sorafenib Tosylate in Treating Patients With Desmoid Tumors or Aggressive Fibromatosis (A091105-Tumor-Annotations)
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TCIA Analysis Results
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Title:
TCIA Analysis Results
Author:
ltarbo01
Apr 13, 2014
Last Changed by:
Tracy Nolan
May 19, 2023
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https://wiki.cancerimagingarchive.net/x/sgH1
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The Cancer Imaging Archive (TCIA) Public Access (2)
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Top New Developments at TCIA for 2015
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Publications
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Children (54)
Page:
Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach (Radiomics-Tumor-Phenotypes)
Page:
Outcome Prediction in Patients with Glioblastoma by Using Imaging, Clinical, and Genomic Biomarkers: Focus on the Nonenhancing Component of the Tumor (GBM-MR-NER-Outcomes)
Page:
Radiogenomic Analysis of Breast Cancer: Luminal B Molecular Subtype Is Associated with Enhancement Dynamics at MR Imaging (LuminalB-Breast-MR-Enhancement)
Page:
Glioblastoma multiforme: exploratory radiogenomic analysis by using quantitative image features (TCGA-GBM-QI-Radiogenomics)
Page:
Radiogenomics of Clear Cell Renal Cell Carcinoma: Preliminary Findings of The Cancer Genome Atlas-Renal Cell Carcinoma (TCGA-RCC) Research Group (TCGA-KIRC-Radiogenomics)
Page:
Segmentation of Pulmonary Nodules in Computed Tomography Using a Regression Neural Network Approach and its Application to the Lung Image Database Consortium and Image Database Resource Initiative Dataset (Pulmonary-Nodules-Segmentation)
Page:
MR Imaging Predictors of Molecular Profile and Survival: Multi-institutional Study of the TCGA Glioblastoma Data Set (TCGA-GBM-Radiogenomics)
Page:
Glioblastoma: Imaging Genomic Mapping Reveals Sex-specific Oncogenic Associations of Cell Death (Glioblastoma-Genomic-Mapping)
Page:
TCGA Breast Phenotype Research Group Data sets (TCGA-Breast-Radiogenomics)
Page:
QIN multi-site collection of Lung CT data with Nodule Segmentations (QIN-LungCT-Seg)
Show all...
Page:
NCI-ISBI 2013 Challenge: Automated Segmentation of Prostate Structures (ISBI-MR-Prostate-2013)
Page:
Spatial Habitat Features derived from Multiparametric Magnetic Resonance Imaging data from Glioblastoma Multiforme cases (Spatial-Features-MRI-GBM)
Page:
Imaging Features, and Correlations with Genomic and Clinical Data from the TCGA Ovarian Radiology Research Group (TCGA-OV-Radiogenomics)
Page:
Image Data Used in the Simulations of "The Role of Image Compression Standards in Medical Imaging: Current Status and Future Trends" (Image-Compression-Simulation)
Page:
Segmentation Labels and Radiomic Features for the Pre-operative Scans of the TCGA-GBM collection (BraTS-TCGA-GBM)
Page:
Segmentation Labels and Radiomic Features for the Pre-operative Scans of the TCGA-LGG collection (BraTS-TCGA-LGG)
Page:
ROI Masks Defining Low-Grade Glioma Tumor Regions In the TCGA-LGG Image Collection (TCGA-LGG-Mask)
Page:
Long and Short Survival in Adenocarcinoma Lung CTs (LUAD-CT-Survival)
Page:
NSCLC Radiogenomics: Initial Stanford Study of 26 Cases (NSCLC Radiogenomics-Stanford)
Page:
Radiomics outcome prediction in Oropharyngeal cancer
Page:
Tumor-Infiltrating Lymphocytes Maps from TCGA H&E Whole Slide Pathology Images (TIL-WSI-TCGA)
Page:
Crowds Cure Cancer: Data collected at the RSNA 2017 annual meeting (Crowds-Cure-2017)
Page:
Data from Head and Neck Cancer CT Atlas (Head-Neck-CT-Atlas)
Page:
DICOM-SEG Conversions for TCGA-LGG and TCGA-GBM Segmentation Datasets (DICOM-Glioma-SEG)
Page:
Standardized representation of the TCIA LIDC-IDRI annotations using DICOM (DICOM-LIDC-IDRI-Nodules)
Page:
RIDER Lung CT Segmentation Labels from: Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach (RIDER-LungCT-Seg)
Page:
Integration of CT-based Qualitative and Radiomic Features with Proteomic Variables in Patients with High-Grade Serous Ovarian Cancer: An Exploratory Analysis (TCGA-OV-Proteogenomics)
Page:
DICOM SR of clinical data and measurement for breast cancer collections to TCIA (DICOM-SR-Breast-Clinical)
Page:
Crowds Cure Cancer: Data collected at the RSNA 2018 annual meeting (Crowds-Cure-2018)
Page:
SDTM datasets of clinical data and measurements for selected cancer collections to TCIA (DI-Cubed-Reports)
Page:
High Resolution Prostate Segmentations for the ProstateX-Challenge (PROSTATEx-Seg-HiRes)
Page:
Dataset of Segmented Nuclei in Hematoxylin and Eosin Stained Histopathology Images (Pan-Cancer-Nuclei-Seg)
Page:
Thoracic Volume and Pleural Effusion Segmentations in Diseased Lungs for Benchmarking Chest CT Processing Pipelines (PleThora)
Page:
Standardization in Quantitative Imaging: A Multi-center Comparison of Radiomic Feature Values (Radiomic-Feature-Standards)
Page:
Multi-Institutional Paired Expert Segmentations and Radiomic Features of the Ivy GAP Dataset (IvyGAP-Radiomics)
Page:
MRQy quality measures for TCIA MRI datasets (MRQy-Quality-Measures)
Page:
QIBA VolCT Group 1B Round 2 No Change Size Measurements (QIBA-VolCT-1B)
Page:
PROSTATEx Zone Segmentations (PROSTATEx-Seg-Zones)
Page:
Expert tumor annotations and radiomic features for the ISPY1/ACRIN 6657 trial data collection (ISPY1-Tumor-SEG-Radiomics)
Page:
Annotations for Chemotherapy and Radiation Therapy in Treating Young Patients With Newly Diagnosed, Previously Untreated, High-Risk Medulloblastoma/PNET (ACNS0332-Tumor-Annotations)
Page:
RSNA-ASNR-MICCAI-BraTS-2021
Page:
Annotations for Combination Chemotherapy With or Without Radiation Therapy in Treating Young Patients With Newly Diagnosed Stage III or Stage IV Wilms Tumor (AREN0533-Tumor-Annotations)
Page:
Annotations for Combination Chemotherapy and Surgery in Treating Young Patients With Wilms Tumor (AREN0534-Tumor-Annotations)
Page:
Annotations for Vincristine, Dactinomycin, and Doxorubicin With or Without Radiation Therapy or Observation Only in Treating Younger Patients Who Are Undergoing Surgery for Newly Diagnosed Stage I, II, or III Wilms' Tumor (AREN0532-Tumor-Annotations)
Page:
Annotations for Combination Chemotherapy and Radiation Therapy in Treating Young Patients With Newly Diagnosed Hodgkin Lymphoma (AHOD0831-Tumor-Annotations)
Page:
Annotations for Rituximab and Combination Chemotherapy in Treating Patients With Diffuse Large B-Cell Non-Hodgkin's Lymphoma (CALGB50303-Tumor-Annotations)
Page:
SAROS - A large, heterogeneous, and sparsely annotated segmentation dataset on CT imaging data (SAROS)
Page:
Annotations for The Clinical Proteomic Tumor Analysis Consortium Clear Cell Renal Cell Carcinoma Collection (CPTAC-CCRCC-Tumor-Annotations)
Page:
Annotations for The Clinical Proteomic Tumor Analysis Consortium Pancreatic Ductal Adenocarcinoma Collection (CPTAC-PDA-Tumor-Annotations)
Page:
Annotations for The Clinical Proteomic Tumor Analysis Consortium Uterine Corpus Endometrial Carcinoma Collection (CPTAC-UCEC-Tumor-Annotations)
Page:
Annotations for The Clinical Proteomic Tumor Analysis Consortium Head and Neck Squamous Cell Carcinoma Collection (CPTAC-HNSCC-Tumor-Annotations)
Page:
Annotations for Radiation Therapy, Amifostine, and Chemotherapy in Treating Young Patients With Newly Diagnosed Nasopharyngeal Cancer Collection (ARAR0331-Tumor-Annotations)
Page:
Annotations for ACRIN-HNSCC-FDG-PET/CT Collection (ACRIN 6685-Tumor-Annotations)
Page:
Annotations for Sorafenib Tosylate in Treating Patients With Desmoid Tumors or Aggressive Fibromatosis (A091105-Tumor-Annotations)
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May 19, 2023 14:32
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