Medica l Image Ana lysis & Ar t i f icia l Intel l igence Symposium 2022 Nr. 1: Maria Delgado-Ortet, PhD: Lesion-Specific 3D-Printed Moulds of Pelvic Tumours for Image-Guided Nr. 2: Laszlo Jaksa, MSc: 3D Printer Enabling Customized Anatomic Models Nr. 3: Dr. med. dent. Richard Mosch: 3D-Gedruckte Zähne – der neue Standard? Nr. 4: Ass.-Prof. Dr. Sepideh Hatamikia: 3D printed silicone phantoms with controllable MRI signal properties Nr. 5: Ass.-Prof. Dr. Sepideh Hatamikia &Dr. Geevarghese George: Feature selection strategies for improved predictions of histopathologic response to neoadjuvant chemotherapy in patients with ovarian cancer Nr. 6: Ass.-Prof. Dr. Sepideh Hatamikia: Toward on-the-fly trajectory optimization for Carm CBCT under strong kinematic constraints Nr. 7: Dr. Olgica Zaric, PhD, MSc: Tissue Sodium Concentration Quantification at 7.0-T MRI as an Early Marker for Chemotherapy Response in Breast Cancer: A Feasibility Study Nr. 8: Dr. Olgica Zaric, PhD, MSc: Quantitative sodium 23Na-MRI– an improved protocol for breast cancer treatment efficacy evaluation Nr. 9: Dipl.-Ing. Philipp Lazen, BSc: B1+ Corrected Metabolite Concentration Estimates from 7 T FID CRT MRSI Nr. 10: Dipl.-Ing. Philipp Lazen, BSc: Comparing 7 T FID CRT MRSI with Amino Acid PET Nr. 11: Stefanie Kaser, MSc: Ion CT image reconstruction with the TIGRE toolbox Nr. 12: Alexander Seper: Deep learning based diagnostic model for prostate and colon carcinoma Nr. 13: Prof. DDr. Ramona Woitek: Radiomics-based predictors of response to neoadjuvant chemotherapy in patients with high grade serous ovarian cancer Nr. 14: Prof. DDr. Ramona Woitek: Hyperpolarised carbon-13 MRI allows early response assessment in patients with breast cancer undergoing neoadjuvant treatment Nr. 15: Ass.-Prof. Dr. Sepideh Hatamikia &Dr. Florian Schwarzhans, PhD, MSc: Evaluation of adiomics robustness on mammograms using different modifications of manually drawn regions of interest Nr. 16: Dr. Florian Schwarzhans, PhD, MSc: Real time eye tracking and blinking compensation for artefact free acquisition of polarization sensitive OCT volumes Nr. 17: Dr. Amirreza Mahbod, PhD: A Two-Stage U-Net Algorithm for Segmentation of Nuclei in H&E-Stained Tissues Nr. 18: S. M. Ragib Shahriar Islam: Learning Cytoarchitectonic Structure From 3D Polarized Light Imaging Nr. 19: Dr. med. dent. Dragan Ströbele: Development of an algorithm to predict the force progression of 3d-printed orthodontic springs Nr. 20: Prof. Dr. Christoph Kleber: Accelerated Combinatorial Medical Material Development through Machine Learning from Theoretical and Experimental Data Sets Nr. 21: Lorenz Perschy: Prediction of breast cancer in a high-risk patient cohort using deep learning in MR imaging data
RkJQdWJsaXNoZXIy NTA3MTM=