Description
Book Synopsis.- Synthetic Augmentation for Anatomical Landmark Localization using DDPMs.
.- AdaptDiff: Cross-Modality Domain Adaptation via Weak Conditional Semantic Diffusion for Retinal Vessel Segmentation.
.- Adapted nnU-Net: A Robust Baseline for Cross-Modality Synthesis and Medical Image Inpainting.
.- Beyond MR Image Harmonization: Resolution Matters Too.
.- Benchmarking Robustness of Endoscopic Depth Estimation with Synthetically Corrupted Data.
.- A dual-task mutual learning framework for predicting post-thrombectomy cerebral haemorrhage.
.- TSynD: Targeted Synthetic Data Generation for Enhanced Medical Image Classification.
.- Beyond Intensity Transforms: Medical Image Synthesis Under Large Deformation.
.- Sim2Real in endoscopy segmentation with a novel structure aware image translation.
.- Fireflies: Photorealistic Simulation and Optimization of Structured Light Endoscopy.
.- Exogenous Agent-Free Synthetic Post-Contrast Imaging with a Cascade of Deep Networks for enhancement Prediction after Tumor Resection. A Parametric-Map Oriented Approach.
.- OCT Scans Simulation Framework for Data Augmentation and Controlled Evaluation of Signal Processing Approaches.
.- Enhancing Quantitative Image Synthesis through Pretraining and Resolution Scaling for Bone Mineral Density Estimation from a Plain X-ray Image.
.- Latent Pollution Model: The Hidden Carbon Footprint in 3D Image Synthesis.
.- Synthesizing Scalable CFD-Enhanced Aortic 4D Flow MRI for Assessing Accuracy and Precision of Deep-Learning Image Reconstruction and Segmentation Tasks.
.- MedEdit: Counterfactual Diffusion-based Image Editing on Brain MRI.
.- Using MR physics for domain generalisation and super-resolution.
.- Single-scan mpMRI Calibration of Multi-Species Brain Tumor Dynamics with Mass Effect.
.- Annotated Biomedical Video Generation using Denoising Diffusion Probabilistic Models and Flow Fields.
