Sponsored Advertising Content
Red Ion
Working with DICOM at scale?
DICOMAnon helps imaging teams anonymize, batch process, and automate DICOM workflows without writing custom scripts.
Author profile
Weigang Hu, PhD
Fudan University Shanghai Cancer Center
Raise — Radiotherapy Accelerated By Intelligent Spatially-Enhanced Segmentation: Development and Multi-Center Evaluation
To develop and validate RAISE (Radiotherapy Accelerated by Intelligent Spatially-Enhanced Segmentation) across multiple tumor sites and centers.
Proffered Program · Therapy Physics
Deep Learning-Based Subtyping of Early-Stage Breast Cancer from Mammography: Distinguishing Luminal and Non-Luminal Tumors for Precision Therapy
Breast cancer is the second leading cause of cancer death among women. Fortunately, for this biologically heterogeneous disease, several molecular subtypes corresponding to distinct responses to treatments and prognoses have been recognized, enabling subtype-...
Poster Program · Diagnostic and Interventional Radiology Physics
DVH-Consistent Patient-Specific Dose Prediction for Head-and-Neck Radiotherapy Using a Robust Multi-Input Cascaded U-Net
To develop a clinically oriented framework for patient-specific 3D dose prediction in head-and-neck radiotherapy, emphasizing DVH-consistent performance for target coverage and OAR sparing.
Poster Program · Therapy Physics
Feasibility of Deep Learning–Based Prognostic Risk Prediction In Rectal Cancer Using Histopathology Images after Neoadjuvant Chemoradiotherapy
Neoadjuvant chemoradiotherapy (nCRT) improves local control in patients with locally advanced rectal cancer (LARC); however, substantial heterogeneity exists in postoperative recurrence risk. This study aimed to evaluate the feasibility of predicting postoper...
Poster Program · Diagnostic and Interventional Radiology Physics
Large-Scale Validation of Vq-Vae for Predicting Anatomical Changes In Rectal Cancer Adaptive Radiotherapy
To investigate the feasibility and robustness of using a VQ-VAE based deep learning model for predicting daily anatomical changes in rectal cancer radiotherapy using a large-scale dataset.
Proffered Program · Therapy Physics
Universal Zero-Shot Contour Propagation Via Prior-Guided Learning for Adaptive Radiotherapy
Adaptive radiotherapy (ART) requires accurate and efficient delineation of the planning target volume (PTV) on daily imaging. However, conventional automatic segmentation methods rely on large-scale, high-quality annotations, while registration-based contour...
Proffered Program · Therapy Physics
Structure-Guided Multi-Task CT-to-PET Synthesis with Cross-Attention and Frequency-Aware Dual Discrimination for Esophageal Cancer
To develop and evaluate a structure-guided multi-task deep learning framework for synthesizing positron emission tomography (PET) images from computed tomography (CT) in patients with esophageal cancer, aiming to improve both global image fidelity and tumor-s...
Proffered Program · Diagnostic and Interventional Radiology Physics