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Results (47)

Quantitative synthetic magnetic resonance imaging for brain metastases: A feasibility study

Journal Article

Konar, A. S.; Shah, A. D.; Paudyal, R.; Fung, M.; Banerjee, S.; Dave, A.; Hatzoglou, V.; Shukla-Dave, A.
Cancers (2022)

Noise-based image harmonization significantly increases repeatability and reproducibility of radiomics features in PET images: A phantom study

Journal Article

Keller, H.; Shek, T.; Driscoll, B.; Xu, Y.; Nghiem, B.; Nehmeh, S.; Grkovski, M.; Schmidtlein, C. R.; Budzevich, M.; Balagurunathan, Y.; more...
Tomography (2022)

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Breast lesion classification with multiparametric breast MRI using radiomics and machine learning: A comparison with radiologists’ performance

Journal Article

Naranjo, I. D.; Gibbs, P.; Reiner, J. S.; Lo Gullo, R.; Thakur, S. B.; Jochelson, M. S.; Thakur, N.; Baltzer, P. A. T.; Helbich, T. H.; Pinker, K.
Cancers (2022)

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Deep learning and domain-specific knowledge to segment the liver from synthetic dual energy CT iodine scans

Journal Article

Mahmood, U.; Bates, D. D. B.; Erdi, Y. E.; Mannelli, L.; Corrias, G.; Kanan, C.
Diagnostics (2022)

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Pan-cancer prediction of cell-line drug sensitivity using network-based methods

Journal Article

Pouryahya, M.; Oh, J. H.; Mathews, J. C.; Belkhatir, Z.; Moosmüller, C.; Deasy, J. O.; Tannenbaum, A. R.
International Journal of Molecular Sciences (2022)

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Assessing PD-L1 expression status using radiomic features from contrast-enhanced breast MRI in breast cancer patients: Initial results

Journal Article

Lo Gullo, R.; Wen, H.; Reiner, J. S.; Hoda, R.; Sevilimedu, V.; Martinez, D. F.; Thakur, S. B.; Jochelson, M. S.; Gibbs, P.; Pinker, K.
Cancers (2021)

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Longitudinal monitoring of simulated interstitial fluid pressure for pancreatic ductal adenocarcinoma patients treated with stereotactic body radiotherapy

Journal Article

Paudyal, R.; LoCastro, E.; Reyngold, M.; Do, R. K.; Konar, A. S.; Oh, J. H.; Dave, A.; Yu, K.; Goodman, K. A.; Shukla-Dave, A.
Cancers (2021)

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Application of community detection algorithm to investigate the correlation between imaging biomarkers of tumor metabolism, hypoxia, cellularity, and perfusion for precision radiotherapy in head and neck squamous cell carcinomas