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H Moltz

Showing results (41-50 of 56) with videos related to

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Medical Physics|September 7, 2013
Determination of lung segments in computed tomography images using the Euclidean distance to the pulmonary arteryChristina Stoecker, Stefan Welter, Jan H Moltz, et al.
International Journal of Computer Assisted Radiology and Surgery|March 1, 2021
MRI-based radiomic feature analysis of end-stage liver disease for severity stratificationJennifer Nitsch, Jordan Sack, Michael W Halle, et al.
IEEE Transactions on Medical Imaging|November 5, 2013
Segmentation-based partial volume correction for volume estimation of solid lesions in CTFrank Heckel, Hans Meine, Jan H Moltz, et al.
Plos One|January 5, 2024
Pre-treatment 18F-FDG-PET/CT parameters as biomarkers for progression free survival, best overall response and overall survival in metastatic melanoma patients undergoing first-line immunotherapyFelix Peisen, Annika Gerken, Isabel Dahm, et al.
Cancers|December 17, 2024
Reliability of Automated RECIST 1.1 and Volumetric RECIST Target Lesion Response Evaluation in Follow-Up CT-A Multi-Center, Multi-Observer Reading StudyIsabel C Dahm, Manuel Kolb, Sebastian Altmann, et al.
Neuroimage. Clinical|March 23, 2019
Automatic and efficient MRI-US segmentations for improving intraoperative image fusion in image-guided neurosurgeryJ Nitsch, J Klein, P Dammann, et al.
European Journal of Radiology|January 13, 2012
Comparison of neuroendocrine tumor detection and characterization using DOTATOC-PET in correlation with contrast enhanced CT and delayed contrast enhanced MRIF L Giesel, C Kratochwil, A Mehndiratta, et al.
Cancers|January 11, 2025
Correction: Peisen et al. Can Delta Radiomics Improve the Prediction of Best Overall Response, Progression-Free Survival, and Overall Survival of Melanoma Patients Treated with Immune Checkpoint Inhibitors? <i>Cancers</i> 2024, <i>16</i>, 2669Felix Peisen, Annika Gerken, Alessa Hering, et al.
Diagnostics (Basel, Switzerland)|October 28, 2023
Can Whole-Body Baseline CT Radiomics Add Information to the Prediction of Best Response, Progression-Free Survival, and Overall Survival of Stage IV Melanoma Patients Receiving First-Line Targeted Therapy: A Retrospective Register StudyFelix Peisen, Annika Gerken, Alessa Hering, et al.
Journal of Medical Imaging (Bellingham, Wash.)|July 10, 2015
On the evaluation of segmentation editing toolsFrank Heckel, Jan H Moltz, Hans Meine, et al.
Pageof 6

Showing results (41-50 of 56) with videos related to

Sort By:
Pageof 6
Medical Physics|September 7, 2013
Determination of lung segments in computed tomography images using the Euclidean distance to the pulmonary arteryChristina Stoecker, Stefan Welter, Jan H Moltz, et al.
International Journal of Computer Assisted Radiology and Surgery|March 1, 2021
MRI-based radiomic feature analysis of end-stage liver disease for severity stratificationJennifer Nitsch, Jordan Sack, Michael W Halle, et al.
IEEE Transactions on Medical Imaging|November 5, 2013
Segmentation-based partial volume correction for volume estimation of solid lesions in CTFrank Heckel, Hans Meine, Jan H Moltz, et al.
Plos One|January 5, 2024
Pre-treatment 18F-FDG-PET/CT parameters as biomarkers for progression free survival, best overall response and overall survival in metastatic melanoma patients undergoing first-line immunotherapyFelix Peisen, Annika Gerken, Isabel Dahm, et al.
Cancers|December 17, 2024
Reliability of Automated RECIST 1.1 and Volumetric RECIST Target Lesion Response Evaluation in Follow-Up CT-A Multi-Center, Multi-Observer Reading StudyIsabel C Dahm, Manuel Kolb, Sebastian Altmann, et al.
Neuroimage. Clinical|March 23, 2019
Automatic and efficient MRI-US segmentations for improving intraoperative image fusion in image-guided neurosurgeryJ Nitsch, J Klein, P Dammann, et al.
European Journal of Radiology|January 13, 2012
Comparison of neuroendocrine tumor detection and characterization using DOTATOC-PET in correlation with contrast enhanced CT and delayed contrast enhanced MRIF L Giesel, C Kratochwil, A Mehndiratta, et al.
Cancers|January 11, 2025
Correction: Peisen et al. Can Delta Radiomics Improve the Prediction of Best Overall Response, Progression-Free Survival, and Overall Survival of Melanoma Patients Treated with Immune Checkpoint Inhibitors? <i>Cancers</i> 2024, <i>16</i>, 2669Felix Peisen, Annika Gerken, Alessa Hering, et al.
Diagnostics (Basel, Switzerland)|October 28, 2023
Can Whole-Body Baseline CT Radiomics Add Information to the Prediction of Best Response, Progression-Free Survival, and Overall Survival of Stage IV Melanoma Patients Receiving First-Line Targeted Therapy: A Retrospective Register StudyFelix Peisen, Annika Gerken, Alessa Hering, et al.
Journal of Medical Imaging (Bellingham, Wash.)|July 10, 2015
On the evaluation of segmentation editing toolsFrank Heckel, Jan H Moltz, Hans Meine, et al.
Pageof 6