Poster session
Artificial intelligence II

Programme

• 14:00 – 14:04 3 Min. 1 Min.

  • Eposter presentation
  • PP02.01

  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)

   Artificial intelligence, Clinical radiotherapy
• 14:04 – 14:08 3 Min. 1 Min.

  • Eposter presentation
  • PP02.02

  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)

   Artificial intelligence, Radiation protection
• 14:08 – 14:12 3 Min. 1 Min.

  • Eposter presentation
  • PP02.03

  Machine learning for dose prediction in carbon ion therapy

  • Miriam Schwarze (Berlin / DE)

   Artificial intelligence, Clinical radiotherapy
• 14:12 – 14:16 3 Min. 1 Min.

  • Eposter presentation
  • PP02.04

  deep neural network for DVH prediction for 3DCRT breastcancer treatment

  • Pedro Gallego Franco (Barcelona / ES)

   Artificial intelligence, Clinical radiotherapy
• 14:16 – 14:20 3 Min. 1 Min.

  • Eposter presentation
  • PP02.05

  Automatic segmentation of organs-at-risk in the brain

  • Emily Mäusel (Dresden / DE)

   Artificial intelligence
• 14:20 – 14:24 3 Min. 1 Min.

  • Eposter presentation
  • PP02.06

  Fast dose prediction for conformal microbeams of diverse angles

  • Tobias Cremer (Dortmund / DE)

   Artificial intelligence, Innovative radiotherapy and medical imaging
• 14:24 – 14:28 3 Min. 1 Min.

  • Eposter presentation
  • PP02.07

  Discrimination of suspicious breast ultrasound lesions using trasfer learning on convolutional neural networks

  • Dr. Valerio Ricciardi (Milan / IT)

   Artificial intelligence, Diagnostic and interventional radiology
• 14:28 – 14:32 3 Min. 1 Min.

  • Eposter presentation
  • PP02.09

  Deep learning-based upsampling of 2D detector array measurements for patient plan verification in radiotherapy

  • Andreas Pflaum (Oldenburg / DE)

   Artificial intelligence, Clinical radiotherapy
• 14:32 – 14:36 3 Min. 1 Min.

  • Eposter presentation
  • PP02.10

  Fine tuning of deep learning-based optimization of field geometry for total marrow irradiation delivered with volumetric modulated arc therapy

  • Brandon Tatani (Legnano / IT)

   Artificial intelligence, Clinical radiotherapy
• 14:36 – 14:40 3 Min. 1 Min.

  • Eposter presentation
  • PP02.11

  Dosiomic study on soft-tissue-sarcoma to predict distant metastasis

  • Dr. Leonardo Ubaldi (Florence / IT)

   Artificial intelligence, Clinical radiotherapy
• 14:40 – 14:44 3 Min. 1 Min.

  • Eposter presentation
  • PP02.13

  Generation of synthetic images for mammography via neural networks based methods

  • Dr. Martina Oria (Turin / IT)

   Artificial intelligence, Innovative radiotherapy and medical imaging
• 14:44 – 14:48 3 Min. 1 Min.

  • Eposter presentation
  • PP02.14

  Predicting treatment response in Hodgkin's lymphoma patients using decision tree algorithm and explainable AI methods

  • Dr. Parham Geramifar (Tehran / IR)

   Artificial intelligence, Diagnostic and therapeutic nuclear medicine
• 14:48 – 14:52 3 Min. 1 Min.

  • Eposter presentation
  • PP02.15

  A convolutional neural network approach for endometriosis related ovarian cancer detection

  • Dr. Christian Macis (Bologna / IT)

   Artificial intelligence, Diagnostic and interventional radiology