Suchergebnisse - "Bernatz, Simon"

PubPharm (12)

1

Comparison of radiomics models and dual-energy material decomposition to decipher abdominal lymphoma in contrast-enhanced CT

enthalten in: International journal of computer assisted radiology and surgery | 2023

von Bernatz, S. | Koch, V. | Dos Santos, D. | +9

2

Radiomics for therapy-specific head and neck squamous cell carcinoma survival prognostication (part I)

enthalten in: BMC medical imaging | 2023

von Bernatz, S. | Böth, I. | Ackermann, J. | +13

3

Radiomics for therapy-specific head and neck squamous cell carcinoma survival prognostication (part I)

enthalten in: BMC medical imaging | 2023

von Bernatz, S. | Böth, I. | Ackermann, J. | +13

4

Radiomics for therapy-specific head and neck squamous cell carcinoma survival prognostication (part I)

enthalten in: BMC medical imaging | 2023

von Bernatz, S. | Böth, I. | Ackermann, J. | +13

5

Comparison of radiomics models and dual-energy material decomposition to decipher abdominal lymphoma in contrast-enhanced CT

enthalten in: International journal of computer assisted radiology and surgery | 2023

von Bernatz, S. | Koch, V. | Dos Santos, D. | +9

6

Imaging biomarkers to stratify lymph node metastases in abdominal CT - Is radiomics superior to dual-energy material decomposition?

enthalten in: European journal of radiology open | 2023

von Mahmoudi, S. | Koch, V. | Santos, D. | +9

7

Potential of high dimensional radiomic features to assess blood components in intraaortic vessels in non-contrast CT scans

enthalten in: BMC medical imaging | 2021

von Mahmoudi, S. | Martin, S. | Ackermann, J. | +6

8

Potential of high dimensional radiomic features to assess blood components in intraaortic vessels in non-contrast CT scans

enthalten in: BMC medical imaging | 2021

von Mahmoudi, S. | Martin, S. | Ackermann, J. | +6

9

Comparison of machine learning algorithms to predict clinically significant prostate cancer of the peripheral zone with multiparametric MRI using clinical assessment categories and radiomic features

enthalten in: European radiology | 2020

von Bernatz, S. | Ackermann, J. | Mandel, P. | +19

10

Comparison of machine learning algorithms to predict clinically significant prostate cancer of the peripheral zone with multiparametric MRI using clinical assessment categories and radiomic features

enthalten in: European radiology | 2020

von Bernatz, S. | Ackermann, J. | Mandel, P. | +19