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ECMP 2024
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Poster session
Poster (self-study)
Artificial intelligence (self-study)
Appointment
Date:
12/09/2024
Time:
14:00
–
15:00
Location / Stream:
Poster (self-study) 1
Programme
Eposter self-study
PS01.01
3D Multiclass semantic segmentation of PET/CT images for ovarian cancer using 3D U-Net
Mohammad Hossein Sadeghi (Shiraz / IR)
Artificial intelligence
Eposter self-study
PS01.03
Comparison of four synthetic-CT generators for brain 2D/2D kV-image-based patient positioning
Damien Autret (Angers / FR)
Artificial intelligence, Radiation protection
Eposter self-study
PS01.04
Artificial intelligence in breast imaging: Scientific, technological and ethical considerations
Ioannis Antonakos (Chaidari / GR)
Artificial intelligence
Eposter self-study
PS01.05
Structured validation of published radiomics models and assessment of their applicability for clinical translation
Lukas Dünger (Dresden / DE)
Artificial intelligence, Innovative radiotherapy and medical imaging
Eposter self-study
PS01.06
Strengthening robustness in neural networks for radiological image analysis through adversarial approaches
Dr. Filippo Maria Balli (Sesto Fiorentino / IT)
Artificial intelligence, Diagnostic and interventional radiology
Eposter self-study
PS01.07
Visualization and evaluation of domain adaptation for patient-specific deep learning: Comparison of random overlay and Affine transform
Fumiaki Komatsu (Tsukuba / JP)
Artificial intelligence, Innovative radiotherapy and medical imaging
Eposter self-study
PS01.08
Automation of 3D-CRT breast treatment planning
Pedro Gallego Franco (Barcelona / ES)
Artificial intelligence, Innovative radiotherapy and medical imaging
Eposter self-study
PS01.09
Application of intelligent models for tumour region segmentation in PET/CT images
Lara María Rosario Núñez Martínez (Burgos / ES)
Artificial intelligence
Eposter self-study
PS01.10
Automated determination of vertebral bone quality from T1-weighted MRI data using convolutional neural network
Kristian Stojšić (Rijeka / HR)
Artificial intelligence, MRI, audiology and other non-ionising modalities
Eposter self-study
PS01.11
Analysis of bone density of the edentulous jaws using cone-beam computer tomography images
Tetiana Strohonova (Zaporizhzhia / UA)
Artificial intelligence
Eposter self-study
PS01.13
Uncertainty quantification of machine learning models for patient-specific quality assurance prediction
Jocelyn Japnanto (London / GB)
Nicola Lambri (Milan / IT)
Prof. Dr. Pietro Mancosu (Milan / IT)
Artificial intelligence, Clinical radiotherapy
Eposter self-study
PS01.15
Development of a machine learning model for predicting cardiovascular disease risk in the Greek population
Konstantinos Petrou (Chaidari / GR)
Artificial intelligence
Eposter self-study
PS01.16
Complex-valued deep neural networks for brain tumor characterization in MRI K-space data
Julian Marco Schlimbach (Dortmund / DE)
Artificial intelligence, MRI, audiology and other non-ionising modalities
Eposter self-study
PS01.17
Machine learning-based survival prediction for newly diagnosed glioma patients using radiomic features extracted from MRI and PET images
Dr. Lena Kaiser (Munich / DE)
Artificial intelligence, Diagnostic and therapeutic nuclear medicine
Eposter self-study
PS01.20
Automatic breast density classification on tomosynthesis images
Professor Nuno Matela (Lisbon / PT)
Artificial intelligence, Diagnostic and interventional radiology
Eposter self-study
PS01.22
Enhancing radiation therapy with AI: A comparative study of GPT-4 assisted IMRT and VMAT plan evaluations
Chionia Kodona (Pavlos Melas / GR)
Artificial intelligence, Clinical radiotherapy
Eposter self-study
PS01.23
AI-based risk assessment for hyperinflammatory patterns and infectious outcomes from blood biomarkers in patients with polytraumatic injuries
Prof. Dr. rer. nat. Christoph Hoeschen (Magdeburg / DE)
Artificial intelligence, MRI, audiology and other non-ionising modalities
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