Neural Rendering for Stereo 3D Reconstruction of Deformable Tissues in Robotic Surgery
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Updated
Mar 26, 2024 - Python
Neural Rendering for Stereo 3D Reconstruction of Deformable Tissues in Robotic Surgery
3D Dental surface segmentation with Tooth Group Network
MICCAI 2022 Paper with Code
MICCAI 2022 (Oral): Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis
MICCAI2022: Multiple Instance Learning with Mixed Supervision in Gleason Grading.
[MICCAI 2022 Best Paper Finalist] Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi Supervised Segmentation
Official PyTorch implementation of our MICCAI 2022 paper: DGMIL: Distribution Guided Multiple Instance Learning for Whole Slide Image Classification.
Transformer-based Models for Unsupervised Anomaly Segmentation in Brain MR Images
[MICCAI 2022] Official Implementation for "Hybrid Spatio-Temporal Transformer Network for Predicting Ischemic Stroke Lesion Outcomes from 4D CT Perfusion Imaging"
[MICCAI'22] AutoLaparo: A New Dataset of Integrated Multi-tasks for Image-guided Surgical Automation in Laparoscopic Hysterectomy
[MICCAI 2022] Toward Clinically Assisted Colorectal Polyp Recognition via Structured Cross-modal Representation Consistency
TINC (MICCAI 2022) official code
Cascade model ( Tumor appearance extraction + multi-channel nnUNet ) for AutoPET Challenge 2022
[MICCAI'2022] CaPTion workshop: Active Data Enrichment by Learning What to Annotate in Digital Pathology
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