Description
Book Synopsis.- 3D Reconstruction and Imaging.
.- DualTrack: Sensorless 3D Ultrasound needs Local and Global Context.
.- Modulated INR with Prior Embeddings for Ultrasound Imaging Reconstruction.
.- DiffUS: Differentiable Ultrasound Rendering from Volumetric Imaging.
.- 3D Heart Reconstruction from Sparse Pose-agnostic 2D Echocardiographic Slices.
.- 3D Ultrasound Volume Reconstruction using a CNN-Transformer model and IMU data.
.- Optimization-Based Calibration for Intravascular Ultrasound Volume Reconstruction.
.- Registration, Representation and Generation.
.- Robust rigid MRI-TRUS registration using attention-CNN and ICP.
.- Det-SAMReg: Few-Shot Medical Image Registration using Vision Foundation Models.
.- D.A.R.K.: Dynamic Graphs based Angle-aware Registration of Knee Ultrasound Point Clouds.
.- The Impact of Biomechanical Quantities on PINNs-based Medical Image Registration.
.- VidFuncta: Towards Generalizable Neural Representations for Ultrasound Videos.
.- From Transthoracic to Transesophageal: Cross-Modality Generation using LoRA Diffusion.
.- DiFUSAL: Diffusion-Based Fetal Ultrasound Synthesis with Active Learning.
.- Image acquisition, segmentation and interpretability.
.- Motion-enhanced Cardiac Anatomy Segmentation via an Insertable Temporal Attention Module.
.- UGFNet: Uncertainty-Guided Graph Neural Network with Frequency-Aware Feature Fusion for Breast Ultrasound Segmentation.
.- L-FUSION: Laplacian Fetal Ultrasound Segmentation & Uncertainty Estimation.
.- Diffusion-based Iterative Counterfactual Explanations for Fetal Ultrasound Image Quality Assessment.
.- Guide2Heart: Proximity Guidance for Standard Echocardiographic View.
.- Classification and Measurements.
.- HiProtoNet: Hyperbolic Hierarchy-aware Part Prototypes for Aortic Stenosis Severity Classification.
.- COVID-19 Severity Prediction from Lung Ultrasound via Dynamic Gated Multi-Instance Learning.
.- WiseLVAM: A Novel Framework For Left Ventrical Automatic Measurements.
.- Learning to Stop: Reinforcement Learning for Efficient Patient-Level Echocardiographic Classification.
.- TREAT-Net: Tabular-Referenced Echocardiography Analysis for Acute Coronary Syndrome Treatment Prediction.
.- Anatomically Constrained Transformers for Cardiac Amyloidosis Classification.
