Name: The 2nd UPLIFT School for “Artificial Intelligence in Radiotherapy”
Start: 2026-11-01T00:00:00+01:00
End: 2026-11-07T17:59:00+01:00
Location: Congressi Stefano Franscini (CSF)

The 2nd UPLIFT School for “Artificial Intelligence in Radiotherapy”

from Sunday, 1 November 2026 (00:00) to Saturday, 7 November 2026 (17:59)

Monday, 26 October 2026
Tuesday, 27 October 2026
Wednesday, 28 October 2026
Thursday, 29 October 2026
Friday, 30 October 2026
Saturday, 31 October 2026
Sunday, 1 November 2026

11:00 Arrival @Monte Verità
Arrival @Monte Verità
11:00 - 13:00

13:00 Registration: UPLIFT school
Registration: UPLIFT school
13:00 - 15:00
15:00 Exercise I: Introduction to AI development platform and basic funtion - Lennart Volz (GSI Helmholtzzentrum f¨ur Schwerionenforschung)
Exercise I: Introduction to AI development platform and basic funtion
- Lennart Volz (GSI Helmholtzzentrum f¨ur Schwerionenforschung)
15:00 - 18:00
18:00 Welcome address - Ye Zhang (PSI - Paul Scherrer Institut) Therese Egli
Welcome address
- Ye Zhang (PSI - Paul Scherrer Institut)
- Therese Egli
18:00 - 19:00
19:00 Welcome dinner
Welcome dinner
19:00 - 20:30

Monday, 2 November 2026
08:15 Opening: 2nd UPLIFT school - Ye Zhang (PSI - Paul Scherrer Institut)
Opening: 2nd UPLIFT school
- Ye Zhang (PSI - Paul Scherrer Institut)
08:15 - 08:30
08:30 Opening plenary: AI in RT - Stine Korreman (Aarhus University)
Opening plenary: AI in RT
- Stine Korreman (Aarhus University)
08:30 - 09:30
Stine S Korreman, PhD, is Professor of Medical Physics at Aarhus University, Denmark. She leads a research group on AI for medical image analysis in radiotherapy with focus on segmentation and dose prediction, and translation of results from research to clinical practice. She is director of the research center AIM@CANCER: AI-driven trustworthy foundation Models for personalized and effective CANCER radiotherapy She is chair of the European Society for Radiotherapy and Oncology (ESTRO) focus group on AI in radiotherapy and director of the ESTRO course on AI in radiotherapy.
09:30 Auto contouring - clinical status and limitation - Jintao Ren (Aarhus University)
Auto contouring - clinical status and limitation
- Jintao Ren (Aarhus University)
09:30 - 10:30
Dr. Jintao Ren is a radiotherapy AI postdoc researcher at Aarhus University Hospital and Aarhus University, Denmark. He is working on deep learning for medical image segmentation, tumor delineation, and adaptive radiotherapy. His recent work includes CT/PET lesion segmentation and MRI-guided head-and-neck gross tumor volume segmentation. His research focuses on translating AI contouring methods into clinically useful, safe, and trustworthy radiotherapy workflows
10:30 Coffee break
Coffee break
10:30 - 11:00
11:00 AI-based medical image segmentation - Mauricio Reyes (University of Bern)
AI-based medical image segmentation
- Mauricio Reyes (University of Bern)
11:00 - 12:00
Professor Mauricio Reyes began his academic journey in 2003 when he was awarded a French-Chilean scholarship to conduct his PhD studies at INRIA, France. His research work focused on developing AI technologies to improve the workflow for cancer patients. His PhD thesis resulted in the development of novel image reconstruction techniques for respiratory motion compensation during PET imaging. This research work significantly improved the assessment of treatment response in lung cancer patients, demonstrating the potential of medical image computing technologies applied to medicine. Early in his postdoctoral years, Professor Reyes developed innovative high-throughput computational analysis methodologies for in-silico orthopaedic implant design. This research work was highlighted by the Swiss National Science Foundation as an example of front-end Swiss research. He was able to further translate this technology, changing the way orthopedic implants are designed nowadays using computational tools. In 2008, he co-founded Crisalix, a successful Swiss company offering AI-based technologies for simulation of reconstructive breast surgery. His work in computational modeling continued towards the challenging aspects of modelling pathology. Through EU-funded projects, he started in 2010 to develop AI solutions for neuro-oncology, with a particular focus on automated brain tumor burden assessment. His seminal research work, led to be the recipient of the MICCAI Young Scientist Publication award in 2016. His translational research efforts led to the first-of-its-kind FDA-approved AI technology for brain tumor patients, and a Boston-based startup with a subsidiary branch in Switzerland to further develop AI technologies. Throughout his career, Professor Reyes has raised over 11M EUR acquired funds, over 400 authored articles, with over 28000 citations, and a H-index of 65. His work has pioneered in the important aspects of robust AI, and explainable AI (XAI), in the field of medical image analysis."
12:00 Lunch
Lunch
12:00 - 13:00
13:00 Scientific writing and peer review - Antony John Lomax (PSI - Paul Scherrer Institut)
Scientific writing and peer review
- Antony John Lomax (PSI - Paul Scherrer Institut)
13:00 - 13:45
After obtaining his PhD from the University of Aberdeen in Scotland and working for 2 years as a clinical medical physicist in the UK, Tony Lomax moved to Switzerland in 1992 to work at the Center for Proton Therapy at the Paul Scherrer Institute as a clinical medical physicist and researcher. In 2007 he became a Titular Professor in the Physics Department at ETH Zurich. From 2010-2014, he was on the editorial board of ‘Physics in Medicine and Biology’ and remains on the international advisory board. He is a regular member of the scientific committees for ASTRO, ESTRO, AAPM and the ICCR and from 2015 - 2023 was the physics co-chair of the PTCOG Scientific Program Sub-committee. In 2023 he became an honorary member of the Swiss Association of Scientific Radiation Oncology (SASRO) and in 2024 was the recipient of the Robert Wilson Award for his achievements in particle therapy from the Particle Therapy Cooperative Group (PTCOG). He is the author or co-author of over 330 peer reviewed papers, 13 book chapters and more than 500 invited and proffered conference presentations. From August 2026, he moved to work for RaySearch Laboratories in Stockholm
13:45 Conflict resolution - Tracy Underwoods (Leo Cancer Care & UCL)
Conflict resolution
- Tracy Underwoods (Leo Cancer Care & UCL)
13:45 - 14:30
Dr Tracy Underwood is Head of Translational Research at Leo Cancer Care. She is also a UKRI Future Leaders Fellow and an Honorary Senior Research Fellow at University College London. In 2011, Tracy founded the International Upright Radiotherapy and Imaging Research Consortium, bringing together researchers and clinicians from across the world to accelerate progress in this emerging area. Previously, as a radiotherapy researcher she worked at some of the most innovative clinics and academic departments worldwide, including Massachusetts General Hospital / Harvard Medical School in Boston, IUCT Oncopole in Toulouse, the Christie NHS Foundation Trust, the University of Manchester, and the University of Oxford. Together with her collaborators she is currently researching many aspects of upright radiotherapy, including: immobilisation methods, patient perspectives, anatomical changes with body position and treatment planning. She likes to spend her free time on the beach or in the forest with her husband and two young kids.
14:30 Intellectual property and patents - Erik Engwall (RaySearch Laboratories)
Intellectual property and patents
- Erik Engwall (RaySearch Laboratories)
14:30 - 15:15
Erik Engwall is Head of Physics and Algorithms, leading a department of 45 developers within physics, optimization, image analysis and visualization. He holds a PhD in physics from Uppsala University, Sweden. Prior to his current role, he held the role as Chief Physicist, overseeing the development within the areas of dose computation and advanced planning tools for photons, electrons, protons, heavier ions and brachytherapy. He takes an active role in the RayStation steering committee to determine which functionalities to introduce in the clinical RayStation versions. His main areas of interest span from fully automated workflow to novel concepts in radiotherapy, like upright treatments and proton arc therapy.
15:15 Coffee break
Coffee break
15:15 - 15:45
15:45 Exercise II: DL based image segementation // commerical software - Lennart Volz (GSI Helmholtzzentrum f¨ur Schwerionenforschung)
Exercise II: DL based image segementation // commerical software
- Lennart Volz (GSI Helmholtzzentrum f¨ur Schwerionenforschung)
15:45 - 18:30
UPLIFT supervisor meeting - Christian Graeff (GSI Helmholtzzentrum f¨ur Schwerionenforschung)
UPLIFT supervisor meeting
- Christian Graeff (GSI Helmholtzzentrum f¨ur Schwerionenforschung)
15:45 - 18:30
19:00 Dinner
Dinner
19:00 - 20:30
Tuesday, 3 November 2026
08:30 Adaptive radiotherapy - offline, online, real-time - Barbara Knaeusl (Medical University of Vienna)
Adaptive radiotherapy - offline, online, real-time
- Barbara Knaeusl (Medical University of Vienna)
08:30 - 09:30
Barbara Knäusl is a senior post-doctoral research associate and clinical medical physicist at the Department of Radiation Oncology, Medical University of Vienna. She is PI of the interdisciplinary Christian Doppler Laboratory for image- and knowledge-driven precision radiation oncology, leading a group of four PhD students, one postdoc and two assistants. Her research focuses on adaptive radiotherapy across photon and particle therapy with emphasis on image guidance, deformable image registration, breathing motion management, 4D treatments and outcome analysis. She has been involved for ten years in related research at the MedAustron Center for Ion Therapy and Research, most recently as PI and partner in the H2020 RAPTOR and RAPTOR+ consortium on real-time adaptive particle therapy, and as vice-coordinator of the FWF docFunds connect network on preclinical ion beam research. She has long engaged with technology development now converging in AI-driven radiotherapy, including automated segmentation, synthetic image creation and workflow automation. As editor-in-chief of Physics and Imaging in Radiation Oncology, an active member of the ESTRO scientific council and physics committee, and supervisor of PhD and MSc students, she contributes to a broad spectrum of the medical physics developments in radiation oncology.
09:30 Re-irradiation: from previous dose to robust treatment optimisation - Ane Appelt (Rigshospitalet & Technical University of Denmark)
Re-irradiation: from previous dose to robust treatment optimisation
- Ane Appelt (Rigshospitalet & Technical University of Denmark)
09:30 - 10:30
Ane Appelt, PhD, is Professor of Clinical Medical Physics at Rigshospitalet and the Technical University of Denmark, and Visiting Professor at the University of Leeds, UK. A clinically trained medical physicist, her research focuses on the development and implementation of novel radiotherapy methods & technology, with reirradiation as a major research theme. Her work in reirradiation spans clinical practice, methodology and technical development, including deformable image registration, cumulative dose evaluation, radiobiological dose rescaling and treatment plan optimisation. She has worked closely with industry partners to translate developments into commercial treatment planning software. She founded the ESTRO Physics Working Group on Reirradiation, is a core member of the ESTRO Reirradiation Focus Group, and co-leads the international Reirradiation Collaborative Group (ReCOG). Her work has contributed to international consensus recommendations for reirradiation and to the development of multicentre clinical studies and prospective trials.
10:30 Coffee break
Coffee break
10:30 - 11:00
11:00 AI boost deformable image registration - Eliana Vasquez Osorio (The University of Manchester)
AI boost deformable image registration
- Eliana Vasquez Osorio (The University of Manchester)
11:00 - 12:00
Eliana Vasquez Osorio is a Reader in Computational Radiotherapy at the University of Manchester and an Honorary Researcher at The Christie NHS Foundation Trust. She trained as a computer scientist at Universidad EAFIT in Medellín, Colombia, and completed her PhD in Medical Physics at Erasmus University Rotterdam, the Netherlands. Her research develops computational and AI methods to make radiotherapy safer, more personalised and better understood, with a particular focus on reirradiation. Her work combines medical image computing, image registration, dose mapping, uncertainty quantification, outcome modelling and causal inference, with a particular interest in the development and safe clinical translation of AI-based methods for radiotherapy.
12:00 Lunch
Lunch
12:00 - 13:00

13:00 Social activity (hike and think)
Social activity (hike and think)
13:00 - 20:00
Wednesday, 4 November 2026
08:30 MRgRT - clinical status and future direction - Daniela Thorwarth (Eberhard Karls Universität Tübingen)
MRgRT - clinical status and future direction
- Daniela Thorwarth (Eberhard Karls Universität Tübingen)
08:30 - 09:30
Medical Physics research group leader, University Hospital for Radiation Oncology Tübingen Full professor for Biomedical Physics, University of Tübingen ERC starting grant 2013 Biologically individualized Radiotherapy (bio-iRT) Medical Physics Expert PhD in Medical Physics, University of Tübingen Diploma in Physics, University of Stuttgart and General Engineering, École Centrale Paris
09:30 Treatment outcome modelling - Marianne Aznar (The University of Manchester)
Treatment outcome modelling
- Marianne Aznar (The University of Manchester)
09:30 - 10:30
Professor Marianne Aznar is Professor of Radiation Oncology Physics at the University of Manchester and Honorary medical physicist at the Christie NHS Foundation Trust. She trained as a clinical physicist in Canada and Denmark and joined the Radiotherapy-Related Research Group in 2017. Her research focuses on the side-effects of cancer treatment, especially for patient groups who can expect a long life after their original cancer treatments (diagnoses include, e.g., Hodgkin Lymphoma, breast cancer and childhood cancer), and more recently, the application of artificial intelligence to radiotherapy practice. Her current projects include BRAINatomy, looking at cognition in survivors of childhood brain tumours (https://www.mcrc.manchester.ac.uk/brainatomy-2/), and SMILE which looking at facial deformation and dental toxicities in children treated with Proton Beam Therapy (https://www.childrenscancerresearchfund.co.uk/pioneering-research-for-children-with-head-neck-cancers/). Internationally, she is involved with the European Society of Radiotherapy and Oncology (ESTRO) where she serves as an elected board member and a teaching faculty member. She also represents radiotherapy professionals on the Cardio-Oncology Council of the European Society of Cardiology and contributed to the recent international guidelines for cardio-oncology. Professor Aznar has published extensively in the field of medical physics and radiotherapy and serves as the physics editor for Radiotherapy and Oncology.
10:30 Coffee break
Coffee break
10:30 - 11:00
11:00 Advanced image guidance and treatment verification in PT - Katia Parodi (Ludwig-Maximilians-Universität München)
Advanced image guidance and treatment verification in PT
- Katia Parodi (Ludwig-Maximilians-Universität München)
11:00 - 12:00
Katia Parodi is since 2012 full professor and Founding Chair of Medical Physics at the Physics Faculty of the Ludwig-Maximilian-University in Munich, where she initiated a specialization curriculum in Medical Physics within the MSc in Physics. She studied Physics and Medical Physics at the University of Genoa, Italy, received in 2004 her Ph.D. in Physics from the University of Dresden, Germany, and subsequently pursued postdoctoral research at Massachusetts General Hospital and Harvard Medical School in Boston, USA. In 2006 she returned to Germany as tenured scientist and group leader at the Heidelberg Ion Therapy Center, obtaining in 2009 her Habilitation from the Heidelberg University. Her research interests are in high-precision image-guided radiotherapy, with focus on advanced methods for delivery, imaging and in-vivo monitoring of pre-clinical and clinical ion therapy. For her work, reported in over 300 peer-reviewed publications, she received several recognitions, and an ERC Consolidator grant in 2016. In 2017-2018 she served as president of the German Society for Medical Physics. She is since 2021 the Editor-in-Chief of the journal Physics in Medicine and Biology, and since 2024 an AAPM Fellow. In 2026 she also received the Innovation of the Year award of the Italian Chamber of Commerce for Germany.
12:00 Lunch
Lunch
12:00 - 13:00
13:00 Round table discussion: Research/Clinic/Industry - Aswin Hoffmann (Helmholtz-Zentrum Dresden-Rossendorf) Petra Trnkova (Czech Technical University in Prague)
Round table discussion: Research/Clinic/Industry
- Aswin Hoffmann (Helmholtz-Zentrum Dresden-Rossendorf)
- Petra Trnkova (Czech Technical University in Prague)
13:00 - 15:00
15:00 Coffee break
Coffee break
15:00 - 15:30
15:30 Poster dissusion: 1 (10+2min per person x 10)
1 (10+2min per person x 10)
15:30 - 18:30
Contributions

15:30 Development of a 4D MRI Framework for Characterising Abdominal Motion in Supine and Upright Positions - Anna Sampanai (ASG Superconductors Spa and Department of Mathematics, University of Genoa, Genoa, Italy)

15:50 Energy Layer Filtration for Upright Static Carbon Arcs - Wouter van Weerelt (RaySearch Laboratories & KTH Royal University of Technology)

16:10 Dosimetric trade-offs between ITV expansion and robust optimization for inter-fractional anatomical variation in upright carbon-ion radiotherapy for lung cancer - Guangsheng Li (GSI Helmholtzzentrum für Schwerionenforschung GmbH)

16:30 Non-coplanar arc radiotherapy trajectory planning in Blender - Zixin He (GSI Helmholtzzentrum für Schwerionenforschung GmbH)

16:50 Shoot-Through Beams for Robust Head and Neck Proton Therapy in Upright Particle Therapy Systems - María Plana Herranz (CNAO)

17:10 Considerations for the quality assurance of upright photon and proton radiotherapy - Chrysa Rousi (Faculty of Nuclear Sciences and Physical Engineering, Czech Technical University in Prague, Prague, Czech Republic)
19:00 Dinner
Dinner
19:00 - 20:30
Thursday, 5 November 2026

08:15 Welcome symposium
Welcome symposium
08:15 - 08:30
08:30 Clinical plenary: Intelligent radiation oncology in the age of AI - Esther Troost (Technische Universität Dresden)
Clinical plenary: Intelligent radiation oncology in the age of AI
- Esther Troost (Technische Universität Dresden)
08:30 - 09:30
Medical training at Eberhard Karls University Tübingen, Aberdeen, Royal Infirmary (UK), Radboud University Nijmegen (NL) MD degree (Staatsexamen) German doctoral degree; Medizinische Hochschule Hannover PhD degree; Radboud University Nijmegen (NL) Assistant Professor at Maastricht University, Department of Radiation Oncology, Faculty of Health, Medicine and Life Sciences, Maastricht (NL) University Professor of ‚Image-Guided High-Precision Radiotherapy‘ at HZDR, OncoRay – National Center for Radiation Research in Oncology, University Hospital and Faculty of Medicine Carl Gustav Carus Dresden, associated with German Cancer Consortium (DKTK), National Center for Tumor Diseases (NCT) and German Cancer Research Center (DKFZ) Chair of Department of Radiotherapy and Radiation Oncology of University Hospital Carl Gustav Carus Dresden Dean of Research, Faculty of Medicine, Technische Universität Dresden, Germany Dean of the Faculty of Medicine, Technische Universität Dresden, Germany
09:30 CS plenary: Artificial Intelligence - a Paradigm Shift in Human Thought!? - Joachim Buhmann (ETH Zurich)
CS plenary: Artificial Intelligence - a Paradigm Shift in Human Thought!?
- Joachim Buhmann (ETH Zurich)
09:30 - 10:30
Joachim M. Buhmann is a professor emeritus for Information Science & Engineering at ETH Zurich (2003-‘24). He studied physics at TU Munich, spent postdoctoral time in California at USC and LLNL and taught practical computer science at the Univ. Bonn (1992-2003). His research focusses on theory and applications of machine learning and artificial intelligence, e.g., in life science and engineering. He is a member of the Swiss Academy of Engineering Sciences (SATW), a fellow of IAPR and an honorary member of the German Pattern Recognition Society.
10:30 Coffee break
Coffee break
10:30 - 11:00
11:00 Generative AI - Yi Wang (MGB)
Generative AI
- Yi Wang (MGB)
11:00 - 12:00
12:00 Lunch
Lunch
12:00 - 13:00
13:00 Direct image to dose prediction -AI vs. MC - Guillaume Landry (LMU Munich)
Direct image to dose prediction -AI vs. MC
- Guillaume Landry (LMU Munich)
13:00 - 14:00
Guillaume Landry is W2 professor at the Department of Radiation Oncology of the LMU University Hospital in Munich. He leads the LMU Adaptive Radiation Therapy Lab focusing on AI-based automation in ART. The lab has recently sought broader engagement with the medical AI community and radiotherapy by organizing the TrackRAD2025 and DoseRAD2026 data challenges. Of relevance to this talk, DoseRAD2026 aims at identifying the best algorithms for real-time dose calculation in ART at MRI-linacs, potentially bypassing the need for synthetic CT images.
14:00 Agentic AI for Natural Language Exploration of Multi-Modal Healthcare Data - Kurt Stockinger (Zurich University of Applied Sciences & University of Zurich)
Agentic AI for Natural Language Exploration of Multi-Modal Healthcare Data
- Kurt Stockinger (Zurich University of Applied Sciences & University of Zurich)
14:00 - 15:00
Prof. Dr. Kurt Stockinger is Professor of Computer Science, Director of Studies in Data Science, and Head of the Intelligent Information Systems Group at Zurich University of Applied Sciences. He is also affiliated with University of Zurich. Kurt Stockinger’s research focuses on Data Science with emphasis on Big Data, Natural Language Query Processing, Query Optimization and Quantum Computing. Essentially, his research interests are at the intersection of information systems, natural language processing and machine learning. Previously Kurt Stockinger was (1) a visiting scholar at University of Washington in Seattle, Washington, USA, (2) he worked at Credit Suisse in Zurich, Switzerland, (3) at Lawrence Berkeley National Laboratory in Berkeley, California, USA, (4) at California Institute of Technology in Pasadena, California, USA, (5) as well as at CERN in Geneva, Switzerland. He holds a Ph.D. in computer science from CERN / University of Vienna.
15:00 Coffee break
Coffee break
15:00 - 15:30
15:30 Poster dissusion: 2 (10+2min per person x 10)
2 (10+2min per person x 10)
15:30 - 18:30
Contributions

15:30 ANTHROPOMETRIC PATIENT MODELLING AS A DESIGN BASIS FOR AN UPRIGHT PATIENT POSITIONING SYSTEM IN PAEDIATRIC MR-GUIDED PROTON THERAPY - Leonna Aranda (OncoRay - National Center for Radiation Research in Oncology)

15:42 Design of an Isocentric MRI-Guided Upright Particle Therapy System - Courtney Ford

15:55 A rotation platform for upright radiotherapy research with anthropomorphic phantoms on standard linear accelerators and fixed-beam particle therapy systems - Pit Arend (DKFZ, KIT)

16:08 Methods and Evidence in Economic Evaluations of Modern Radiotherapy: A Systematic Mapping Review - Fabio Veneruso (Centre Léon Bérard, CNRS, Université Lumière Lyon 2, Université Jean Monnet Saint-Étienne, emlyon business school, GATE, Lyon, France)

16:20 Quantifying Posture-Dependent Respiratory Motion for Upright Radiotherapy Using AI-Tracked Cine MRI - Daniel Richter (ETH Zurich)

16:33 Quantitative Timepix4 Imaging of Heterogeneous Alpha-Emitting Radiopharmaceutical Distributions in Tissue Sections - Vasily Sorokin (University of Oxford)

16:45 Towards a Feasibility Study of Range Verification in Radioactive Carbon-Ion Beam Therapy using J-PET Scanner - Alhassan Aliyu Saad (Jagiellonian University, Krakow)

16:58 Designing for Comfort: A Usability Engineering Gap in Upright Head and Neck Radiotherapy Immobilisation - Nicole Caballero-Canchanya (Loughborough University)
19:00 Dinner
Dinner
19:00 - 20:30
Friday, 6 November 2026

08:15 Joint symposium on AI4R/PT
Joint symposium on AI4R/PT
08:15 - 08:30
08:30 Physics plenary: From image synthesis to digital twins - Xiaofeng Yang (University of Chicago)
Physics plenary: From image synthesis to digital twins
- Xiaofeng Yang (University of Chicago)
08:30 - 09:30
Xiaofeng Yang, PhD, is Professor, Vice Chair, and Chief of Medical Physics in the Department of Radiation and Cellular Oncology at the University of Chicago. He is a medical physicist with extensive experience in clinical practice, research, education, and mentorship. Dr. Yang’s research focuses on artificial intelligence (AI)-enabled quantitative imaging, including CBCT/CT, MRI, PET/CT, and PET/MRI, as well as image-guided radiation therapy. His specific interests include adaptive radiotherapy, image segmentation and synthesis, deformable image registration, digital twins, proton therapy, and FLASH radiotherapy. His laboratory develops advanced AI and imaging technologies to improve treatment planning, image guidance, motion management, and personalized radiation therapy. Dr. Yang has led and contributed to multiple NIH- and NSF-funded research projects and has extensive experience mentoring graduate students, postdoctoral fellows, medical physics residents, physician residents, and junior investigators. He is also actively engaged in the medical physics and medical imaging community through professional service, peer review, and editorial activities.
09:30 AI boost plan optimisation - Zoltan Perko (Radformation & Delft University of Technology)
AI boost plan optimisation
- Zoltan Perko (Radformation & Delft University of Technology)
09:30 - 10:30
Zoltán Perkó is an internationally recognized researcher of computational physics and deep learning in radiation applications. He is a Senior Applied Scientist at Radformation Inc. and an associate professor at Delft University of Technology. His research focuses on cancer treatment planning (AI solutions, robust optimization, adaptive radiotherapy) and data driven physics based modeling of large scale systems (uncertainty quantification, model reduction) for real-life impact.
10:30 Coffee break
Coffee break
10:30 - 11:00
11:00 Session A: Oral presentation x2
Oral presentation x2
11:00 - 12:00
Contributions

11:00 Towards respiratory motion management for upright particle therapy: from human-in-the-loop visual guidance to surrogate-mapping robustness - Jiale Chen (Clinical Bioengineering Unit, Clinical Department, National Center for Oncological Hadrontherapy (CNAO), Pavia, Italy; Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy)

11:30 Using Virtual Reality to Enhance Patient Preparation for Upright Radiotherapy - Panzifan Wu (School of Health and Social Care, Sheffield Hallam University)
12:00 Lunch
Lunch
12:00 - 13:00
13:00 Session B: Oral presentation x4
Oral presentation x4
13:00 - 15:00
Contributions

13:00 Accuracy of an open-source, deep-learning body composition measurement on PET/CTs in a large cohort - Nick Hardcastle (Peter MacCallum Cancer Centre)

13:30 Structure-Level Uncertainty for Quality Control in Prostate MRI Segmentation under Image Degradation - Chuxin Zhang (UCLouvain)

14:00 Quantitative imaging and explainable AI identify survival phenotypes for personalised radiotherapy in locally advanced NSCLC - Alessandra Catalano (Fondazione IRCCS Istituto Nazionale dei Tumori, Milano)

14:30 From Plausible to Controllable: Multimodal Digital Phantom Generation for Radiotherapy - Ronja Stern (PSI - Paul Scherrer Institut)
15:00 Coffee break
Coffee break
15:00 - 16:00
16:00 Session C: Oral presentation x4
Oral presentation x4
16:00 - 18:00
Contributions

16:00 Synthesizing Upright Head and Neck Anatomies from Supine CT Using MRI Guided Deformable Registration - Daniel Richter (ETH Zurich)

16:30 From supine imaging to upright anatomy: Quantifying gravity-induced pelvic deformation towards patient-specific biomechanical simulation - Lola Vegeas (Therapanacea, Gustave Roussy)

17:00 SPLASH: A Semi-automatic Pipeline for Lung motion Analysis using Single-frame Human-Input - Timothy Lo (UCL Hawkes Institute, Department of Medical Physics and Biomedical Engineering, University College London)

17:30 Development of a robust validation workflow for AI-based Deformable Image Registration software - Panagiotis Alafogiannis (Dept. of Dosimetry and Appl. Of Ion. Radiation, Faculty of Nuclear Sciences and Physical Engineering, Czech Technical Univ. in Prague, Czech Republic & Dept. of Oncology, Univ. Hospital and Faculty of Medicine, Ostrava, Czech Republic)
18:00 AI4PT dinner
AI4PT dinner
18:00 - 19:30
Saturday, 7 November 2026

08:15 Joint symposium on AI4R/PT
Joint symposium on AI4R/PT
08:15 - 08:30
08:30 Closing plenary: future of AI for RT - Lei Xing (Stanford University)
Closing plenary: future of AI for RT
- Lei Xing (Stanford University)
08:30 - 09:30
Dr. Xing is currently the Jacob Haimson & Sarah S. Donaldson Professor of Medical Physics and Director of Medical Physics Division of Radiation OncologyDepartment at Stanford University. He also holds affiliate faculty positions in Department of Electrical engineering, Institute of Computational and Mathematical Engineering (ICME), Biomedical Informatics, Human-Centered Artificial Intelligence, Bio-X and Molecular Imaging Program at Stanford. His research has been focused on medical imaging, AI in medicine, and image-guided interventions. He has made unique and significant contributions to each of the above areas. Dr. Xing is an author on more than 500 peer reviewed publications in high impact journals. He is a fellow of AAPM, ASTRO, and AIMBE. He is the recipient of the 2023 Edith Quimby Lifetime Achievement Award of AAPM.
09:30 Session D: Oral presentation x3
Oral presentation x3
09:30 - 10:30
Contributions

09:30 Real-Time Range Prediction for a Mixed Helium–Carbon Beam - Maximilian Dick (GSI Helmholtz Center for Heavy Ion Research GmbH)

09:50 Deep-learning assisted single-scenario robust optimization for carbon ion therapy - Lennart Volz (GSI Helmholtz Center for Heavy Ion Research GmbH)

10:10 A real association is not a usable predictor: a five-stage workflow for machine learning on routine radiotherapy QA data - Alejandro del Pozo Domínguez
10:30 Coffee break
Coffee break
10:30 - 11:00
11:00 AI4RT plenary discussion - Ye Zhang (PSI - Paul Scherrer Institut) Aswin Hoffmann (Helmholtz-Zentrum Dresden-Rossendorf)
AI4RT plenary discussion
- Ye Zhang (PSI - Paul Scherrer Institut)
- Aswin Hoffmann (Helmholtz-Zentrum Dresden-Rossendorf)
11:00 - 12:30
12:30 Closing remark -- Lunch (to go)
Closing remark -- Lunch (to go)
12:30 - 13:00

13:00 Departure AI4PT (flexible)
Departure AI4PT (flexible)
13:00 - 16:00