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Diagnostics (Basel, Switzerland)|January 21, 2022
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?Anna Landsmann, Jann Wieler, Patryk Hejduk, et al.
Heliyon|August 13, 2021
Deep learning for the standardized classification of Ki-67 in vulva carcinoma: A feasibility studyMatthias Choschzick, Mariam Alyahiaoui, Alexander Ciritsis, et al.
Investigative Radiology|November 8, 2017
Intravoxel Incoherent Motion Analysis of Abdominal Organs: Application of Simultaneous Multislice AcquisitionValerie Doan Phi Van, Anton S Becker, Alexander Ciritsis, et al.
Investigative Radiology|March 11, 2015
Utility of Magnetic Resonance Imaging to Monitor Surgical Meshes: Correlating Imaging and Clinical Outcome of Patients Undergoing Inguinal Hernia RepairNienke Lynn Hansen, Alexander Ciritsis, Jens Otto, et al.
Plos One|September 21, 2016
Correction: Positive Contrast MRI Techniques for Visualization of Iron-Loaded Hernia Mesh Implants in PatientsAlexander Ciritsis, Daniel Truhn, Nienke L Hansen, et al.
Plos One|May 19, 2016
Positive Contrast MRI Techniques for Visualization of Iron-Loaded Hernia Mesh Implants in PatientsAlexander Ciritsis, Daniel Truhn, Nienke L Hansen, et al.
Clinical Imaging|January 5, 2023
Detection of microcalcifications in photon-counting dedicated breast-CT using a deep convolutional neural network: Proof of principleAnna Landsmann, Carlotta Ruppert, Karol Borkowski, et al.
Magnetic Resonance in Medical Sciences : MRMS : an Official Journal of Japan Society of Magnetic Resonance in Medicine|November 13, 2018
Diffusion Tensor Imaging of the Brachial Plexus: A Comparison between Readout-segmented and Conventional Single-shot Echo-planar ImagingMichael J Ho, Alexander Ciritsis, Andrei Manoliu, et al.
Magnetic Resonance Imaging|October 27, 2019
Correction for fast pseudo-diffusive fluid motion contaminations in diffusion tensor imagingSonja Stieb, Markus Klarhoefer, Tim Finkenstaedt, et al.
Diagnostics (Basel, Switzerland)|June 24, 2022
Detecting Abnormal Axillary Lymph Nodes on Mammograms Using a Deep Convolutional Neural NetworkFrederik Abel, Anna Landsmann, Patryk Hejduk, et al.
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