Pascal A. T. Baltzer at Department of Biomedical Imaging and Image‐guided Therapy Medical University of Vienna Vienna Austr - Research Interests, Publications & Academic Profile

Pascal A. T. Baltzer

University Name

Austria

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Research Interests

Medical Imaging

100%

Radiology

100%

Breast Imaging

100%

In Vivo Imaging

60%

Pet Imaging

40%

Cancer Diagnosis

30%

Metabolic Imaging

30%

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Articles18

Assessment of PSMA Expression of Healthy Organs in Different Stages of Prostate Cancer Using [68Ga]Ga-PSMA-11-PET Examinations

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Year:

2024

Contrast Agent Dynamics Determine Radiomics Profiles in Oncologic Imaging

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2024

Enhancing the Kaiser score for lesion characterization in unenhanced breast MRI

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Year:

2024

Performance of Diffusion-weighted Imaging–based Noncontrast MRI Protocols for Diagnosis of Breast Cancer: A Systematic Review and Meta-Analysis

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Year:

2024

Using the Kaiser Score as a clinical decision rule for breast lesion classification: Does computer-assisted curve type analysis improve diagnosis?

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Year:

2024

Direct Patlak Reconstruction of [<sup>68</sup>Ga]Ga-PSMA PET for the Evaluation of Primary Prostate Cancer Prior Total Prostatectomy: Results of a Pilot Study

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Year:

2023

Standalone AI for Breast Cancer Detection at Screening Digital Mammography and Digital Breast Tomosynthesis: A Systematic Review and Meta-Analysis

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Year:

2023

Automated analysis of the total choline resonance peak in breast proton magnetic resonance spectroscopy

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Year:

2023

Evidenzbasierte und strukturierte Diagnostik in der MR-Mammografie anhand des Kaiser-Score

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Year:

2023

Prospective validation of 18F-Fluoroethylcholine as a tracer in PET/MRI for the evaluation of breast lesions and prediction of lymph node status

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Year:

2023

Automation Bias in Breast AI

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2023

Evidenzbasierte und strukturierte Diagnostik in der MR-Mammografie anhand des Kaiser-Score

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Year:

2023

Added value of clinical decision rules for the management of enhancing breast MRI lesions: A systematic comparison of the Kaiser score and the Göttingen score

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Year:

2023

Simultaneous 18F-FDG PET/MRI Radiomics and Machine Learning Analysis of the Primary Breast Tumor for the Preoperative Prediction of Axillary Lymph Node Status in Breast Cancer

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Year:

2023

Evidence-Based and Structured Diagnosis in Breast MRI using the Kaiser Score

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Year:

2022

The Role of Diffusion-weighted Imaging in Biopsy-proven Ductal Carcinoma in Situ

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Year:

2022

Contrast-enhanced Mammography versus Contrast-enhanced Breast MRI: A Systematic Review and Meta-Analysis

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Year:

2022

How much can abbreviated protocols for breast MRI increase patient throughput? a multi-centric evaluation

Article Link

Year:

2022

Collaborators11

Fredrik Strand

Karolinska University Hospital

SWEDEN

Markus Mitterhauser

Medical University of Vienna

AUSTRIA

Constance Lehman

Professor

MGH Institute of Health Professions

UNITED STATES

Alexander Haug

Deputy Head

Medical University of Vienna

AUSTRIA

Georg Langs

Full Professor of Machine Learning in Medical Imaging

Medical University of Vienna

AUSTRIA

Marcus Hacker

Univ. Prof. Dr. med., Full Professor for Nuclear Medicine and Director

Medical University of Vienna

AUSTRIA

Matthias Dietzel

University Hospital Erlangen

GERMANY

Jung Hyun Yoon

Yonsei University

SOUTH KOREA

Benedikt Heidinger

Medical University of Vienna

AUSTRIA

Sazan Rasul

Medical University of Vienna

AUSTRIA

Ivo Rausch

Medical University of Vienna

AUSTRIA

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