Radiology

ISSNs: 0033-8419

Additional searchable ISSN (electronic): 1527-1315

Radiological Society of North America Inc.

Scopus rating (2022): CiteScore 34.2 SJR 4.073 SNIP 4.222

Journal

Titles	Radiology Radiology
Additional searchable titles	RADIOLOGY, Radiology.
ISSNs	0033-8419
Additional searchable ISSN (electronic)	1527-1315
Publisher	Radiological Society of North America Inc.
ZDB-ID	18694-6
ZDB-ID	80324-8
ZDB-ID	2010588-5

Keywords

ASJC Scopus subject areas

Radiology, Nuclear Medicine and Imaging

Library keywords

610 Medicine and health

The Image Biomarker Standardization Initiative: Standardized Convolutional Filters for Reproducible Radiomics and Enhanced Clinical Insights

Whybra, P., Zwanenburg, A., Andrearczyk, V., Schaer, R., Apte, A. P., Ayotte, A., Baheti, B., & 39 othersBakas, S., Bettinelli, A., Boellaard, R., Boldrini, L., Buvat, I., Cook, G. J. R., Dietsche, F., Dinapoli, N., Gabryś, H. S., Goh, V., Guckenberger, M., Hatt, M., Hosseinzadeh, M., Iyer, A., Lenkowicz, J., Loutfi, M. A. L., Löck, S., Marturano, F., Morin, O., Nioche, C., Orlhac, F., Pati, S., Rahmim, A., Rezaeijo, S. M., Rookyard, C. G., Salmanpour, M. R., Schindele, A., Shiri, I., Spezi, E., Tanadini-Lang, S., Tixier, F., Upadhaya, T., Valentini, V., van Griethuysen, J. J. M., Yousefirizi, F., Zaidi, H., Müller, H., Vallières, M. & Depeursinge, A., Feb 2024, In: Radiology. 310, 2, p. e231319 231319.

Research output: Contribution to journal › Review article › Contributed › peer-review

Multimodal Deep Learning for Integrating Chest Radiographs and Clinical Parameters: A Case for Transformers

Khader, F., Müller-Franzes, G., Wang, T., Han, T., Arasteh, S. T., Haarburger, C., Stegmaier, J., & 5 othersBressem, K., Kuhl, C., Nebelung, S., Kather, J. N. & Truhn, D., Oct 2023, In: Radiology. 309, 1, e230806.

Research output: Contribution to journal › Research article › Contributed › peer-review

An MRI Deep Learning Model Predicts Outcome in Rectal Cancer

Jiang, X., Zhao, H., Saldanha, O. L., Nebelung, S., Kuhl, C., Amygdalos, I., Lang, S. A., & 5 othersWu, X., Meng, X., Truhn, D., Kather, J. N. & Ke, J., Jun 2023, In: Radiology. 307, 5, e222223.

Research output: Contribution to journal › Research article › Contributed › peer-review

Using Machine Learning to Reduce the Need for Contrast Agents in Breast MRI through Synthetic Images

Müller-Franzes, G., Huck, L., Arasteh, S. T., Khader, F., Han, T., Schulz, V., Dethlefsen, E., & 5 othersKather, J. N., Nebelung, S., Nolte, T., Kuhl, C. & Truhn, D., May 2023, In: Radiology. 307, 3, e222211.

Research output: Contribution to journal › Research article › Contributed › peer-review

Artificial Intelligence for Clinical Interpretation of Bedside Chest Radiographs

Khader, F., Han, T., Müller-Franzes, G., Huck, L., Schad, P., Keil, S., Barzakova, E., & 14 othersSchulze-Hagen, M., Pedersoli, F., Schulz, V., Zimmermann, M., Nebelung, L., Kather, J., Hamesch, K., Haarburger, C., Marx, G., Stegmaier, J., Kuhl, C., Bruners, P., Nebelung, S. & Truhn, D., Apr 2023, In: Radiology. 307, 1, e220510.

Research output: Contribution to journal › Research article › Contributed › peer-review

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Research Portal of the TU Dresden

Radiology

Keywords

ASJC Scopus subject areas

Library keywords

Related content

The Image Biomarker Standardization Initiative: Standardized Convolutional Filters for Reproducible Radiomics and Enhanced Clinical Insights

Multimodal Deep Learning for Integrating Chest Radiographs and Clinical Parameters: A Case for Transformers

An MRI Deep Learning Model Predicts Outcome in Rectal Cancer

Using Machine Learning to Reduce the Need for Contrast Agents in Breast MRI through Synthetic Images

Artificial Intelligence for Clinical Interpretation of Bedside Chest Radiographs