From ICML: We invite you to serve as an area chair (AC) for ICML 2026 based on your expertise in important sub-areas of machine learning and your prior experience in the peer review process. We sincerely hope you will accept this invitation and help us make ICML 2026 a success.
They are: Contour-informed inter-patient deformable registration for more reliable voxel-based analysis of Head-and-Neck Cancer patients Gaussian primitives for deformable image registration A proof-of-concept study of direct magnetic resonance imaging-based proton dose calculation for brain tumors via neural networks with Monte Carlo-comparable accuracy
They are: Continuous sPatial-Temporal Deformable Image Registration and 4D Frame Interpolation Diffusion Schrödinger bridge models for high-quality MR-to-CT synthesis for proton treatment planning
They are: MiLNet: Multiplex Interactive Learning Network for RGB-T Semantic Segmentation
One of the 5 works appear in the official ESTRO 2024 Congress report. With the title: Continuous Motion Modelling for Enhanced Deformable Image Registration in Radiotherapy
For our work and my presentation on NGP-DIR
Neural Graphics Primitives-based Deformable Image Registration for On-the-fly Motion Extraction
Beyond Voxel-Based Methods: Continuous Motion Modeling for Enhanced Deformable Image Registration
Uncertainty-aware MR-base CT synthesis for robust proton planning of skull-based tumour
