Search Results - "Wieler, Jann"

Discrepancies between radiological and histological findings in preoperative core needle (CNB) and vacuum-assisted (VAB) breast biopsies by Jörg, Inna, Wieler, Jann, Elfgen, Constanze, Bolten, Kristina, Hutzli, Claudia, Talimi, Julia, Vorburger, Denise, Choschzick, Matthias, Moskovszky, Linda, Dedes, Konstantin, Varga, Zsuzsanna

“…Background Ultrasound (US)-guided breast biopsy is a routine diagnostic method used to correlate imaging finding to a histological diagnosis which is still the…”
Get full text

Applied Machine Learning in Spiral Breast-CT: Can We Train a Deep Convolutional Neural Network for Automatic, Standardized and Observer Independent Classification of Breast Density? by Landsmann, Anna, Wieler, Jann, Hejduk, Patryk, Ciritsis, Alexander, Borkowski, Karol, Rossi, Cristina, Boss, Andreas

“…The aim of this study was to investigate the potential of a machine learning algorithm to accurately classify parenchymal density in spiral breast-CT (BCT),…”
Get full text

Radiomics in photon-counting dedicated breast CT: potential of texture analysis for breast density classification by Landsmann, Anna, Ruppert, Carlotta, Wieler, Jann, Hejduk, Patryk, Ciritsis, Alexander, Borkowski, Karol, Wurnig, Moritz C., Rossi, Cristina, Boss, Andreas

“…Background We investigated whether features derived from texture analysis (TA) can distinguish breast density (BD) in spiral photon-counting breast computed…”
Get full text

Breast density in dedicated breast computed tomography: Proposal of a classification system and interreader reliability by Wieler, Jann, Berger, Nicole, Frauenfelder, Thomas, Marcon, Magda, Boss, Andreas

“…The aim of this study was to develop a new breast density classification system for dedicated breast computed tomography (BCT) based on lesion detectability…”
Get full text

Potential of non-contrast spiral breast CT to exploit lesion density and favor breast cancer detection: A pilot study by Weber, Julia, Zanetti, Giulia, Nikolova, Elizabet, Frauenfelder, Thomas, Boss, Andreas, Wieler, Jann, Marcon, Magda

“…To assess the density values of breast lesions and breast tissue using non-contrast spiral breast CT (nc-SBCT) imaging. In this prospective study women…”
Get full text

Breast Computed Tomography: Diagnostic Performance of the Maximum Intensity Projection Reformations as a Stand-Alone Method for the Detection and Characterization of Breast Findings by Zellweger, Caroline, Berger, Nicole, Wieler, Jann, Cioni, Dania, Neri, Emanuele, Boss, Andreas, Frauenfelder, Thomas, Marcon, Magda

“…This study aimed to evaluate the diagnostic performance of the maximum intensity projection (MIP) reformations of breast computed tomography (B-CT) images as a…”
Get full text

Contrast Media–Enhanced Breast Computed Tomography With a Photon-Counting Detector: Initial Experiences on In Vivo Image Quality and Correlation to Histology by Berger, Nicole, Marcon, Magda, Wieler, Jann, Vorburger, Denise, Dedes, Konstantin J., Frauenfelder, Thomas, Varga, Zsuzsanna, Boss, Andreas

“…The aim of this study was to investigate the feasibility, the image quality, and the correlation with histology of dedicated spiral breast computed tomography…”
Get full text

Clinical assessment of image quality, usability and patient comfort in dedicated spiral breast computed tomography by Schmidt, Cynthia Sabrina, Zellweger, Caroline, Wieler, Jann, Berger, Nicole, Marcon, Magda, Frauenfelder, Thomas, Boss, Andreas

“…To investigate aspects of image quality, feasibility and patient comfort in dedicated spiral breast computed tomography (B-CT) in a large patient cohort. This…”
Get full text

Breast Computed Tomography: Diagnostic Performance of the Maximum Intensity Projection Reformations as a Stand-Alone Method for the Detection and Characterization of Breast Findings by Zellweger, Caroline, Berger, Nicole, Wieler, Jann, Cioni, Dania, Neri, Emanuele, Boss, Andreas, Frauenfelder, Thomas, Marcon, Magda

Get full text

Detection of microcalcifications in photon-counting dedicated breast-CT using a deep convolutional neural network: Proof of principle by Landsmann, Anna, Ruppert, Carlotta, Borkowski, Karol, Hejduk, Patryk, Ciritsis, Alexander, Wieler, Jann, Rossi, Cristina, Boss, Andreas

“…In this study, we investigate the feasibility of a deep Convolutional Neural Network (dCNN), trained with mammographic images, to detect and classify…”
Get full text

Contrast Media–Enhanced Breast Computed Tomography With a Photon-Counting Detector: Initial Experiences on In Vivo Image Quality and Correlation to Histology by Berger, Nicole, Marcon, Magda, Wieler, Jann, Vorburger, Denise, Dedes, Konstantin J., Frauenfelder, Thomas, Varga, Zsuzsanna, Boss, Andreas

Get full text

Systematic analysis of changes in radiomics features during dynamic breast-MRI: Evaluation of specific biomarkers by Landsmann, Anna, Ruppert, Carlotta, Nowakowska, Sylwia, Ciritsis, Alexander, Wieler, Jann, Wurnig, Moritz C., Rossi, Cristina, Boss, Andreas

“…In this retrospective, single-center study we investigate the changes of radiomics features during dynamic breast-MRI for healthy tissue compared to benign and…”
Get full text

Dedicated breast computed-tomography in women with a personal history of breast cancer: A proof-of-concept study by Formaz, Eméline, Schmidt, Cynthia, Berger, Nicole, Schönenberger, Amadéa L.N., Wieler, Jann, Frauenfelder, Thomas, Boss, Andreas, Marcon, Magda

“…•Breast CT has potential for imaging surveillance in patients after breast cancer.•Confidence for image evaluation in breast CT was equal/superior to…”
Get full text