N. Schmidt

发表

Considerations on Baseline Generation for Imaging AI Studies Illustrated on the CT-Based Prediction of Empyema and Outcome Assessment

Tugba Akinci D'Antonoli, B. Stieltjes, J. Bremerich, 2022, J. Imaging.

Carcinoma of unknown primary with hepatic metastases: a need of judicious and contemplative diagnostic algorithm

O. Kolokythas, N. Lalwani, N. Schmidt, 2020, Abdominal Radiology.

Deep learning-based automated detection of pulmonary embolism on CT pulmonary angiograms: No significant effects on report communication times and patient turnaround in the emergency department nine months after technical implementation.

B. Stieltjes, G. Sommer, A. Sauter, 2021, European journal of radiology.

Overall Survival and Response to Systemic Therapy in Metastatic Extrauterine Leiomyosarcoma

A. Shoushtari, W. Tap, M. Gounder, 2016, Sarcoma.

Choi response criteria for prediction of survival in patients with metastatic renal cell carcinoma treated with anti-angiogenic therapies

Christian Rothermundt, Noemi Schmidt, G. Bongartz, 2012, European Radiology.

Third International Consensus Conference on lesions of uncertain malignant potential in the breast (B3 lesions)

P. V. van Diest, M. Gnant, R. Mann, 2023, Virchows Archiv.

Diagnostic accuracy of automated ACR BI-RADS breast density classification using deep convolutional neural networks

T. Weikert, Raphael Sexauer, S. Dellas, 2023, European Radiology.

Automatic and standardized quality assurance of digital mammography and tomosynthesis with deep convolutional neural networks

J. Unkelbach, Raphael Sexauer, K. Borkowski, 2023, Insights into Imaging.

Contralateral lymph node metastasis in recurrent ipsilateral breast cancer with Lynch syndrome: a locoregional event

V. Heinzelmann-Schwarz, W. Weber, C. Kurzeder, 2023, World Journal of Surgical Oncology.