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ECMP 2024
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DE
Poster zum Thema "Artificial intelligence"
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PP01.02
Eposter presentation
An automated machine learning-based workflow for personalized breast radiation dosimetry in CT
Dr. Eleftherios Tzanis (Heraklion / GR)
PP01.04
Eposter presentation
A deep learning-based tool for auto-segmentation for brain metastases radiosurgery
Dr. Bianca Bordigoni (Monza / IT; Padua / IT)
PP01.05
Eposter presentation
Development and external validation of a DL-based CTV segmentation model on a large multicentric dataset in the case of whole-breast radiotherapy treatment
Gabriele Palazzo (Milan / IT)
PP01.06
Eposter presentation
AI assisted tumor tracking in 1.5 T MRgRT based on transfer learning from 0.35 T
Dr. Yiling Wang (Chengdu / CN)
PP01.07
Eposter presentation
Structured data extraction from echocardiography notes using pre-trained Bidirectional Encoder Representations from Transformers (BERT) models
Dr. Finn Krewer (Galway / IE)
PP01.08
Eposter presentation
Data-driven stopping power calibration of the treatment planning x-ray CT using sparse-view ion radiographies
Ines Butz (Garching / DE)
PP01.09
Eposter presentation
AI-based imaging error reduction in radial cine-MRI: A proof of concept
Zhuojie Sui (Garching / DE)
PP01.11
Eposter presentation
Improved prognostic stratification and radiation-induced fibrosis prediction after stereotactic body radiation therapy (SBRT) for early stage non-small cell lung cancer (NSCLC) via radiomics and dosiomics
Dr. Patrick Salome (Heidelberg / DE)
PP01.12
Eposter presentation
Deep learning for x-ray CT calibration based on proton radiographies in pre-clinical proton therapy
Chiara Tinelli (Garching / DE; Milan / IT)
PP01.13
Eposter presentation
Characterisation of an artificial intelligence based noise cancellation software general x-ray systems
Dara O'Gallchobhair (Dublin / IE)
PP01.14
Eposter presentation
Feasibility of using multi-output Gaussian processes to model anatomical changes for paediatric applications
Dr. Eliana Vasquez Osorio (Manchester / GB)
PP02.01
Eposter presentation
Comparison of two deep learning models to predict 3D dose distribution in radiation therapy of patients with left breast cancer
Dr. Mohammad Ehsan Ravari (Semnan / IR)
PP02.02
Eposter presentation
External validation of an AI-based tool for the early detection of radiotherapy treatment planning errors – An updated multicentric study
Dr. Petros Kalendralis (Maastricht / NL)
PP02.03
Eposter presentation
Machine learning for dose prediction in carbon ion therapy
Miriam Schwarze (Berlin / DE)
PP02.04
Eposter presentation
deep neural network for DVH prediction for 3DCRT breastcancer treatment
Pedro Gallego Franco (Barcelona / ES)
PP02.05
Eposter presentation
Automatic segmentation of organs-at-risk in the brain
Emily Mäusel (Dresden / DE)
PP02.06
Eposter presentation
Fast dose prediction for conformal microbeams of diverse angles
Tobias Cremer (Dortmund / DE)
PP02.07
Eposter presentation
Discrimination of suspicious breast ultrasound lesions using trasfer learning on convolutional neural networks
Dr. Paolo de Marco (Milan / IT)
PP02.09
Eposter presentation
Deep learning-based upsampling of 2D detector array measurements for patient plan verification in radiotherapy
Andreas Pflaum (Oldenburg / DE)
PP02.10
Eposter presentation
Fine tuning of deep learning-based optimization of field geometry for total marrow irradiation delivered with volumetric modulated arc therapy
Brandon Tatani (Milan / IT)
PP02.11
Eposter presentation
Dosiomic study on soft-tissue-sarcoma to predict distant metastasis
Dr. Leonardo Ubaldi (Florence / IT)
PP02.13
Eposter presentation
Generation of synthetic images for mammography via neural networks based methods
Dr. Martina Oria (Turin / IT)
PP02.14
Eposter presentation
Predicting treatment response in Hodgkin's lymphoma patients using decision tree algorithm and explainable AI methods
Dr. Parham Geramifar (Tehran / IR)
PP02.15
Eposter presentation
A convolutional neural network approach for endometriosis related ovarian cancer detection
Dr. Christian Macis (Bologna / IT)
PP03.03
Eposter presentation
Breast densitometry predicts outcome after radiotherapy for breast cancer
Alfonso Belardo (Milan / IT)
PP03.08
Eposter presentation
Multi-institutional Knowledge-Based (KB) benchmark for whole breast plan prediction and automated optimization
Dr. Alessia Tudda (Milan / IT)
Dr. Sara Broggi (Milan / IT)
PP04.09
Eposter presentation
Dose-response relationships for late patient-reported urinary side-efects after prostate cancer radiotherapy. Maximum likelihood fit from prospectively collected data
Dr. Tiziana Rancati (Milan / IT)
PP05.05
Eposter presentation
Assessing the influence of synthetic CT Hounsfield unit correction on daily anatomical variations in the Ethos system for online adaptive radiation therapy and its impact on radiation dose distributions
Mohammed Channaoui (Basel / CH)
PP06.14
Eposter presentation
Cellular versus genetic radiosensitivity: Different predictive roles in different dose ranges. Analysis of late post radiotherapy overreaction in cancer prostate patients
Sandrine Pereira (Entzheim / FR)
PP07.01
Eposter presentation
Machine learning model for patient-specific QA prediction in stereotactic radiosurgery
Simone Buzzi (Milan / IT)
PP07.07
Eposter presentation
Evaluation of on-line dose assessment methods by means of deep learning generated CBCT contours for prostate SBRT
Dr. Lorenzo Radici (Ivrea / IT)
PP07.10
Eposter presentation
In-vivo
dose reconstruction with EPID detectors by deep learning
Lorenzo Marini (Pisa / IT)
PP11.02
Eposter presentation
Deciphering the enigma of atypical forms of Alzheimer's disease by employing connectomics in the context of early and late-phase Amyloid PET and [18F]FDG PET Imaging
Dr. Alessio Cirone (Genoa / IT)
PP11.03
Eposter presentation
Large-cohort evaluation of normal organ uptake in 177Lu-PSMA therapy and relationship to total tumour burden on quantitative SPECT/CT using deep learning
Lachlan McIntosh (Melbourne / AU)
PP13.14
Eposter presentation
Differentiable forward-projection operator in ion imaging for application in inverse problems
Ines Butz (Garching / DE)
PP15.01
Eposter presentation
Reducing MRI acquisition time using AI reconstruction: Assessment of acceleration approaches using objective image quality metrics
Ainur Kazhybekova (Dublin / IE)
PP16.01
Eposter presentation
Making AI performance measurable – Approaches within the metrology for artificial intelligence in medicine (M4AIM) programme at PTB
Dr. Hans Rabus (Berlin / DE)
PP16.02
Eposter presentation
Enhancing radiological decision-making with an interactive chatbot: A study on personalizing computed tomography protocols and contrast phases
Anna Fink (Freiburg / DE)
PP16.03
Eposter presentation
Deep ensemble model for segmentation and classification of lung nodules in computed tomography scans
Professor Allan Felipe Fattori Alves (Botucatu / BR)
Dr. Hitalo R. Mendes (Botucatu / BR)
PP16.05
Eposter presentation
Dosimetric comparison between Ethos artificial-intelligence and eclipse human-made prostate-only radiotherapy plans
Ana Corbalán Mirete (Ciudad Real / ES)
PP16.06
Eposter presentation
Feasibility of a novel video frame interpolation algorithm for radiation dose reduction in the catheterisation laboratory using AI-generated synthetic angiographic images
Professor Paddy Gilligan (Dublin / IE)
PP16.07
Eposter presentation
Comprehensive evaluation of three deep learning-based tools for oars automatic segmentation in cervical cancer radiotherapy
Dr. Bianca Bordigoni (Monza / IT; Padua / IT)
PP16.10
Eposter presentation
Acceptance and monitoring of an artificial intelligence based image reconstruction algorithm for magnetic resonance images
Dr. Massimiliano Porzio (Cuneo / IT)
PP16.11
Eposter presentation
Radiomics analysis for multiple myeloma using whole-body low-dose CT imaging: Initial variability analysis
Dr. Martin Blaimer (Würzburg / DE; Galway / IE)
PP16.12
Eposter presentation
Early dosimetric impact evaluation on prostate patients treated with Ethos online adaptive radiotherapy
Ana Corbalán Mirete (Ciudad Real / ES)
Dr. Alfredo Serna Berna (Cartagena / ES)
PP16.14
Eposter presentation
Does online adaptive raditherpy improve patients only treatments?
Ana Corbalán Mirete (Ciudad Real / ES)
Dr. Alfredo Serna Berna (Cartagena / ES)
PP16.15
Eposter presentation
A PSMA PET/MR regression model to reduce unnecessary biopsies
Esteban Lucas Solari (Munich / DE)
PP18.15
Eposter presentation
A deep learning-based tool for automatic segmentation in breast radiotherapy: Validation and evaluation
Dr. Bianca Bordigoni (Monza / IT; Padua / IT)
PP23.02
Eposter presentation
Reduced-dose deep learning reconstruction: Impact of noise properties on detectability in chest CT images
Dr. Eléonore Pouget (Clermont-Ferrand / FR)
PP23.03
Eposter presentation
Optimization of smoothing kernel length, projection tolerance and angle rebin for data driven iterative image reconstruction with motion compensation for head computed tomography
Dr. Afshan Ashfaq (Marburg / DE)
PP23.06
Eposter presentation
Evaluating deep learning image reconstruction for detection of small, low-contrast objects in CT imaging
Linn Rolstadaas (Trondheim / NO)
PP25.01
Eposter presentation
Automated
68
Ga-PSMA-PET Total Metabolic Tumor Volume (TMTV) extraction for predicting PSA change in
177
Lu-PSMA therapy
Eduardo Ríos Sánchez (Paris / FR; Lyon / FR)
PP27.12
Eposter presentation
Enhancing personalized contrast injection in computed tomography: Clinical validation of a machine learning algorithm for accurate fat-free mass estimation
Natalie Heracleous (Sion / CH)
PP30.01
Eposter presentation
Variational inference for X-ray fluorescence imaging using flows
Jonas Kreidelmeyer (Hamburg / DE)
PP30.02
Eposter presentation
The knowledge-based organ at risk dose estimation in 3D conformal radiation therapy of breast cancer
Dr. Mostafa Robatjazi (Sabzevar / IR)
PP30.03
Eposter presentation
Radiomic-based classification and feature evaluation in digital breast tomosynthesis using TabNet deep learning package
Professor Giovanni Mettivier (Naples / IT)
PP30.04
Eposter presentation
Dose prediction using a SWIN-UNETr-GAN for magnetic resonance guided radiotherapy in prostate cancer
Benjamin Tengler (Tübingen / DE)
PP31.05
Eposter presentation
Image-based bone marrow dosimetry in patients undergoing [
177
Lu]Lu-PSMA radiopharmaceutical therapy
Mikhail Rumiantcev (Munich / DE)
PS01.01
Eposter self-study
3D Multiclass semantic segmentation of PET/CT images for ovarian cancer using 3D U-Net
Mohammad Hossein Sadeghi (Shiraz / IR)
PS01.03
Eposter self-study
Comparison of four synthetic-CT generators for brain 2D/2D kV-image-based patient positioning
Damien Autret (Angers / FR)
PS01.04
Eposter self-study
Artificial intelligence in breast imaging: Scientific, technological and ethical considerations
Ioannis Antonakos (Chaidari / GR)
PS01.05
Eposter self-study
Structured validation of published radiomics models and assessment of their applicability for clinical translation
Lukas Dünger (Dresden / DE)
PS01.06
Eposter self-study
Strengthening robustness in neural networks for radiological image analysis through adversarial approaches
Dr. Filippo Maria Balli (Sesto Fiorentino / IT)
PS01.07
Eposter self-study
Visualization and evaluation of domain adaptation for patient-specific deep learning: Comparison of random overlay and Affine transform
Fumiaki Komatsu (Tsukuba / JP)
PS01.08
Eposter self-study
Automation of 3D-CRT breast treatment planning
Pedro Gallego Franco (Barcelona / ES)
PS01.09
Eposter self-study
Application of intelligent models for tumour region segmentation in PET/CT images
Lara María Rosario Núñez Martínez (Burgos / ES)
PS01.10
Eposter self-study
Automated determination of vertebral bone quality from T1-weighted MRI data using convolutional neural network
Kristian Stojšić (Rijeka / HR)
PS01.11
Eposter self-study
Analysis of bone density of the edentulous jaws using cone-beam computer tomography images
Tetiana Strohonova (Zaporizhzhia, / UA)
PS01.13
Eposter self-study
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)
PS01.15
Eposter self-study
Development of a machine learning model for predicting cardiovascular disease risk in the Greek population
Konstantinos Petrou (Chaidari / GR)
PS01.16
Eposter self-study
Complex-valued deep neural networks for brain tumor characterization in MRI K-space data
Julian Marco Schlimbach (Dortmund / DE)
PS01.17
Eposter self-study
Machine learning-based survival prediction for newly diagnosed glioma patients using radiomic features extracted from MRI and PET images
Dr. Lena Kaiser (Munich / DE)
PS01.20
Eposter self-study
Automatic breast density classification on tomosynthesis images
Professor Nuno Matela (Lisbon / PT)
PS01.22
Eposter self-study
Enhancing radiation therapy with AI: A comparative study of GPT-4 assisted IMRT and VMAT plan evaluations
Chionia Kodona (Thessaloniki / GR)
PS01.23
Eposter self-study
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)
PS02.02
Eposter self-study
Implementation of machine learning-based auto-contouring of organs-at-risk for gastric cancer radiotherapy: A dosimetric analysis
Professor Michalis Mazonakis (Heraklion / GR)
PS02.30
Eposter self-study
An open source processing tool for knowledge-based metrics computation
Farah Ben Hammouda (Trieste / IT)
PS02.37
Eposter self-study
Machine learning model for predicting a MLC accuracy index in treatment delivery
David Navarro (Terrassa / ES)
PS02.60
Eposter self-study
Optimizing contouring process in radiotherapy: AI-powered automation for organs segmentation
Professor Jurgita Laurikaitienė (Kaunas / LT)
PS04.04
Eposter self-study
A Bayesian approach to automated quantification of myocardial perfusion imaging
Yue Guo (Munich / DE)
PS07.06
Eposter self-study
Markerless tumour tracking in full-arc kV imaging with gantry rotation: A motor-driven lung phantom test
Dr. Toshiyuki Terunuma (Tsukuba / JP)
PS07.30
Eposter self-study
Cone beam computed tomography auto-segmentation for prostate cancer radiotherapy: A deep learning-based research tool
Dr. Bianca Bordigoni (Monza / IT; Padua / IT)
PS07.32
Eposter self-study
Validation of deformable dose accumulation in adaptive radiotherapy for prostate cancer – A pilot study in anatomical body donors
Christina Krämer (Homburg / DE)
PS08.02
Eposter self-study
AI assisted formulation of a biothermometric state-space equation (LTI system with memory) for the dosimetry of repetitive therapeutic laser treatments
Prof. Dr. Dr, h.c. Jürgen Beuthan (Berlin / DE)
PS08.09
Eposter self-study
Improving glioma grading by applying radiomics-based machine learning on pooled multi-contrast MRI datasets
Dr. Dimosthenis E. Gkotsis (Athens / GR)
Professor Ioannis Seimenis (Athens / GR)
v1.20.0
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