We use cookies necessary to giving you a better online experience. By using our website you consent to all cookies in accordance with our Privacy Policy.
Yes, I accept
Menu
Search Opener
Stockholm, Sweden

ESTRO 2026

Session

Autosegmentation
Digital Poster
Physics
Automated body composition analysis in borderline resectable pancreatic cancer: robust AI, disappointing clinical translation
William Gehin, France
-142
GTV segmentation in MRI guided radiotherapy with promptable foundation models
Tom Julius Bloecker, Germany
-273
Evaluation of SAM2 model performance and its clinical aspects for ultrasound image segmentation
Fruzsina Dvorzsák, Hungary
-335
Impact of uncertainty prediction on manual editing of rectal cancer CTV auto-segmentations
Federica Carmen Maruccio, The Netherlands
-427
In-depth analysis of failure rates and -modes in auto-segmentation of the esophagus in patients treated for lung cancer
Lise Thorsen, Denmark
-637
Artificial Intelligence vs. Physicians in Cardiac Contouring for Breast Cancer Radiotherapy: A Comparative Analysis of 125 Patients
Priscila Bernard, Spain
-732
Learning Anatomy from Unlabelled CT Volumes: An Unsupervised Framework for Improving Prostate Radiotherapy Segmentation
Nur Diyana Afrina Mohd Hizam, Malaysia
-765
Evaluating the Performance and Consistency of a Deep-Learning Pelvic Auto-Segmentation Model Across Clinical Stages in Radiotherapy
Evi Markou, United Kingdom
-959
Improved Accuracy of Prostate CTV Autosegmentation Using Combined CT and MR Imaging: A Deep Learning Approach
Kai-Lin Yang, Taiwan, Province of China
-979
Automated Mid-Sagittal Plane Detection to Analyze Contralateral Lymphatic Spread in Oropharyngeal Cancer
Yoel Samuel Pérez Haas, Switzerland
-1128
Evaluating the Clinical Utility of AI-Generated Auto-Segmentation: Correlation Between Quantitative Metrics and Clinician Assessment in Radiotherapy
Evi Markou, United Kingdom
-1143
SpecCTSegNet: A Physics-Informed Attention Network for Automated OAR and Tumor Segmentation in Multi-Energy PC-CBCT for Preclinical Radiotherapy
xinhong wu, Germany
-1274
GTVN auto-segmentation for head and neck cancer; iterative modelling, oncologist evaluation, and pathways to bias assessment
Victoria Butterworth, United Kingdom
-1393
Automatic but interactive: A real-world evaluation of promptable AI auto-segmentation for GTV delineation (PROMPTO)
Daniel Höfler, Germany
-1739
Analysis of resolution impact on AI contouring in photon counting CT
Sze Ting Wong, China, Hong Kong Special Administrative Region
-1881
Continuous Monitoring of AI-Based OAR Segmentation in Head-and-Neck Radiotherapy: Geometric and Dosimetric Validation
Anne Holm, Denmark
-2116
The value of segmentation uncertainty for guiding expert contour correction in the prostate radiotherapy workflow
Ruben Stoffijn, The Netherlands
-2137
Optimizing deep ensemble models for probabilistic CTV breast segmentation
Maria Giulia Ubeira Gabellini, Italy
-2143
Pancreatic tumour auto-segmentation for online MRI-guided radiotherapy
Emilie Karlsson, Denmark
-2230
Qualitative and quantitative evaluation of auto-segmentated clinical target volumes in breast cancer
Love Dahlstedt Hassler, Sweden
-2399
Artificial intelligence in radiation oncology: Bridging gaps in cancer care in a low- and middle-income country
Nowshin Taslima Hossain, Bangladesh
-2772
External validation of a deep learning model for autosegmentation of shoulder muscles on radiotherapy planning CT-images of breast cancer patients
Lotte Veldt, The Netherlands
-3003
Is an average CT enough for accurate deep learning ITV segmentation in advanced lung cancer? A comparison of full vs average breathing phase 4D-CT
Luis DelaO-Arevalo, The Netherlands
-3011
Context-aware brain tumor segmentation: winning solution of MICCAI BraTS lighthouse challenge
Mehdi Astaraki, Sweden
-3017
Evaluation of an FDA-cleared AI Platform for Automated Brain Metastases Identification and Segmentation
Naseem Ud Din, USA
-3104
Qualitative and quantitative evaluation of auto-segmented clinical target volumes and organs at risk in radiotherapy of rectal cancer
Albert Siegbahn, Sweden
-3399
Beyond Dice: 3D Local Surface Distance Maps to Assess the Clinical Reliability of AI Contouring in Head and Neck Radiotherapy
Daniel NGUYEN, France
-3427
Evaluation of AI- and Deformable Registration-Based Contours on Hypersight CBCT for Prostate Radiotherapy: Implications for Adaptive Planning.
Mark Ashburner, New Zealand
-3450
Physician?Tailored Auto?Segmentation for Brain Metastases: First Clinical Experience
Lukas Knybel, Czech Republic
-3647
Evaluation of an open-source AI autocontouring tool for cardiac substructure delineation in radiotherapy treatment planning
Thomas Young, United Kingdom
-3649
Detecting Automation Bias in Radiotherapy Contouring: The Role of Similarity Measures
Mark Gooding, United Kingdom
-3697
Can input reconstruction predict segmentation error of deep learning models?
Dany Rimez, Belgium
-3818
Evaluation of a Commercial AI-Based Cranial Tumor Segmentation Tool for Brain Metastases in Stereotactic Radiosurgery
Larissa Kilian, Germany
-4001
Feasibility of single institutional atlas-based inter-patient auto-segmentation for prostate MR-guided radiotherapy in a simulation-free workflow
Thee Mateepithaktham, Thailand
-4124
Deep learning-based autosegmentation of mastication structures in head and neck RT: effects by dental implant-induced artifacts on model performance
Niclas Pettersson, Sweden
-4137
Evaluation of an MRI-based auto contouring prototype for OAR and target delineation in brain
Nazanin Rahnama, Switzerland
-4196
Auto-segmentation of routine MRI to assess sarcopenia post-radiotherapy in childhood and TYA brain cancer survivors.
Angela Davey, United Kingdom
-4308
Generalizibility of Multi-Center Trained Deep Learning Models for Prostate GTV Segmentation
Ruben Bosschaert, Switzerland
-4364
Evaluating dental dose in paediatric radiotherapy using automated contouring
Thomas Melichar, United Kingdom
-4454
Deep feature-based out-of-distribution detection improves safety of automated lung cancer tumor segmentation in radiotherapy workflows
Aneesh Rangnekar, USA
-4734
Anisotropic resolution training improves transformer-based rectal tumor segmentation in oblique 3D MRI scans
Aneesh Rangnekar, USA
-4793
Cardiac Substructures Dosimetry and Survival in Stage III Non-Small Cell Lung Cancer: Insights from Automated Analysis of RTOG 0617 Data
Kasper Kuna, Poland
-4885
Performance Evaluation of a Deep Learning Auto-Segmentation Model for Intracranial Metastases on Contrast-Enhanced T1-Weighted MRI
Norina Predescu, Romania
-4958
Deep learning-based auto-contouring of thoracic organs-at-risk and tumors for radiotherapy planning
Hamdi Yalin Yalic, Turkey
-5001
Internal Validation of a Deep Learning Auto-Segmentation for Thoracic Radiotherapy Planning CT Imaging
Norina Predescu, Romania
-5023
Guideline-Compliant AI Auto-Segmentation for Pelvic Lymph Nodes in Gynecological and Prostate Cancer: Multicenter Validation
Norina Predescu, Romania
-5053
Morphometric Outlier Detection for Automated Quality Assurance of Deep Learning-Segmented Thoracic Structures
Amal Joseph Varghese, The Netherlands
-5104
From manual to fully automated: AI segmentation accuracy for MR-Linac adaptive workflows evaluated by dosimetric criteria
David Tilly, Sweden
-5181
Ground-Truth Comparison of Aleatoric Uncertainty Quantification Methods in Medical Image Segmentation
Gustav Jönsson, Sweden
-2660