NCI Cancer Research Data Commons: resources to share key cancer data

Z Wang, TM Davidsen, GR Kuffel, KD Addepalli, A Bell… - Cancer Research, 2024 - AACR
Since 2014, the NCI has launched a series of data commons as part of the Cancer Research
Data Commons (CRDC) ecosystem housing genomic, proteomic, imaging, and clinical data …

DICOM integration libraries for medical image interoperability: a technical review

M Mantri, S Taran, G Sunder - IEEE Reviews in Biomedical …, 2020 - ieeexplore.ieee.org
Medical images support diagnostic care and research in medicine. The acquisition and
availability of medical images in digital form can facilitate quick diagnosis, ease of access …

National cancer institute imaging data commons: toward transparency, reproducibility, and scalability in imaging artificial intelligence

A Fedorov, WJR Longabaugh, D Pot, DA Clunie… - Radiographics, 2023 - pubs.rsna.org
The remarkable advances of artificial intelligence (AI) technology are revolutionizing
established approaches to the acquisition, interpretation, and analysis of biomedical …

NCI imaging data commons

A Fedorov, WJR Longabaugh, D Pot, DA Clunie… - Cancer research, 2021 - AACR
Abstract The National Cancer Institute (NCI) Cancer Research Data Commons (CRDC) aims
to establish a national cloud-based data science infrastructure. Imaging Data Commons …

End-to-end reproducible AI pipelines in radiology using the cloud

D Bontempi, L Nuernberg, S Pai… - Nature …, 2024 - nature.com
Artificial intelligence (AI) algorithms hold the potential to revolutionize radiology. However, a
significant portion of the published literature lacks transparency and reproducibility, which …

Chest imaging representing a COVID-19 positive rural US population

S Desai, A Baghal, T Wongsurawat, P Jenjaroenpun… - Scientific data, 2020 - nature.com
As the COVID-19 pandemic unfolds, radiology imaging is playing an increasingly vital role in
determining therapeutic options, patient management, and research directions. Publicly …

A web-based automated image processing research platform for cochlear implantation-related studies

J Margeta, R Hussain, P López Diez… - Journal of clinical …, 2022 - mdpi.com
The robust delineation of the cochlea and its inner structures combined with the detection of
the electrode of a cochlear implant within these structures is essential for envisaging a safer …

How does DICOM support big data management? Investigating its use in medical imaging community

M Aiello, G Esposito, G Pagliari, P Borrelli… - Insights into …, 2021 - Springer
The diagnostic imaging field is experiencing considerable growth, followed by increasing
production of massive amounts of data. The lack of standardization and privacy concerns …

Comparison of MRI response evaluation methods in rectal cancer: a multicentre and multireader validation study

N El Khababi, RGH Beets-Tan, R Tissier, MJ Lahaye… - European …, 2023 - Springer
Objectives To compare four previously published methods for rectal tumor response
evaluation after chemoradiotherapy on MRI. Methods Twenty-two radiologists (5 rectal MRI …

Enrichment of lung cancer computed tomography collections with AI-derived annotations

D Krishnaswamy, D Bontempi, VK Thiriveedhi… - Scientific data, 2024 - nature.com
Public imaging datasets are critical for the development and evaluation of automated tools in
cancer imaging. Unfortunately, many do not include annotations or image-derived features …