ArticleAMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science2017
Towards Generation, Management, and Exploration of Combined Radiomics and Pathomics Datasets for Cancer Research.
Article in AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
37 citing papers in PubMed.
- Integrating Genomics, Radiomics, and Pathomics in Oncology: A Scoping Review and a Framework for AI-Enabled Surgomics.Bioengineering (Basel, Switzerland) · 2026Review
- AI-based pathomics in kidney diseases: progress and application.Renal failure · 2025Review
- Celebrating neuropathology's contributions to Alzheimer's Disease Research Centers.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Article
- The Neurofibrillary Tangle Maturity Scale: A Novel Framework for Tangle Pathology Evaluation in Alzheimer's Disease.bioRxiv : the preprint server for biology · 2025Article
- Foundation model-driven multimodal prognostic prediction in patients undergoing primary surgery for high-grade serous ovarian cancer.NPJ precision oncology · 2025Article
- Review
- Standardizing digital biobanks: integrating imaging, genomic, and clinical data for precision medicine.Journal of translational medicine · 2024Review
- Multi-Institutional Development and Validation of a Radiomic Model to Predict Prostate Cancer Recurrence Following Radical Prostatectomy.Journal of clinical medicine · 2023Article
- Heterogeneity of Glycolytic Phenotype Determined byDiagnostics (Basel, Switzerland) · 2023Article
- A Comprehensive Landscape of Imaging Feature-Associated RNA Expression Profiles in Human Breast Tissue.Sensors (Basel, Switzerland) · 2023Article
- Quality improvements in radiation oncology clinical trials.Frontiers in oncology · 2023Review
- Beyond conventional microscopy: Observing kidney tissues by means of fourier ptychography.Frontiers in physiology · 2023Article
- An integrative web-based software tool for multi-dimensional pathology whole-slide image analytics.Physics in medicine and biology · 2022Article
- Proceedings of the fifth international Molecular Pathological Epidemiology (MPE) meeting.Cancer causes & control : CCC · 2022Article
- Synthetic-to-real: instance segmentation of clinical cluster cells with unlabeled synthetic training.Bioinformatics (Oxford, England) · 2022Article
- Quantitative digital histopathology and machine learning to predict pathological complete response to chemotherapy in breast cancer patients using pre-treatment tumor biopsies.Scientific reports · 2022Article
- MRI-Based Radiomic Features Help Identify Lesions and Predict Histopathological Grade of Hepatocellular Carcinoma.Diagnostics (Basel, Switzerland) · 2022Article
- The relationship between radiomics and pathomics in Glioblastoma patients: Preliminary results from a cross-scale association study.Frontiers in oncology · 2022Article
- Artificial intelligence and machine learning in cancer imaging.Communications medicine · 2022Review
- Fusing hand-crafted and deep-learning features in a convolutional neural network model to identify prostate cancer in pathology images.Frontiers in oncology · 2022Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
Cancer is a complex multifactorial disease state and the ability to anticipate and steer treatment results will require information synthesis across multiple scales from the host to the molecular level. Radiomics and Pathomics, where image features are extracted from routine diagnostic Radiology and Pathology studies, are also evolving as valuable diagnostic and prognostic indicators in cancer. This information explosion provides new opportunities for integrated, multi-scale investigation of cancer, but also mandates a need to build systematic and integrated approaches to manage, query and mine combined Radiomics and Pathomics data. In this paper, we describe a suite of tools and web-based applications towards building a comprehensive framework to support the generation, management and interrogation of large volumes of Radiomics and Pathomics feature sets and the investigation of correlations between image features, molecular data, and clinical outcome.
Identifiers
28815113PMC5543366What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.