Qiang’s picks of the day (Wednesday): QiangMa is a PhD student at the BioMedIA group at Imperial College London, United Kingdom, under the supervision of Daniel Rueckert and Bernhard Kainz. (Oral 9) SwinMM: Masked Multi-view with SwinTransformers for 3D Medical … (Oral 9) Structure-Preserving Instance Segmentation via Skeleton-Aware Distance … (W-06-062) MoCoSR: Respiratory Motion Correction and Super-Resolution for 3D… (W-06-064) ModusGraph: Automated 3D and 4D Mesh Model Reconstruction … (W-06-088) S3M: Scalable Statistical Shape Modelingthrough Unsupervised … (W-06-103) Weakly Supervised Cerebellar Cortical Surface Parcellation with … “My research interest is geometric deep learning for medical image analysis. My PhD project focuses on the deep learning-based cortical surface reconstruction for the developing brain. Currently I am working on a learning-based pipeline for fetal and neonatal brain MRI processing.” Oral: Posters: For today, Wednesday 11 MICCAI 2 DAILY MICCAI Wednesday Qiang’sPicks “This is the first time I attend MICCAI in person. I feel very excited to meet excellent researchers and discuss state-of-the-art work!” Learn more about Qiang’s work! Don’t miss: Qiang is presenting today his own work: W-05-023 Conditional Temporal Attention Networks for Neonatal Cortical Surface Reconstruction Don't forget to visit him during poster session 5!
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