IEEE

Parallel Trajectory Constraint Sampling for Solving Universal Medical Inverse Problems

Abstract: Inverse problems in medical imaging, such as undersampled magnetic resonance imaging (MRI) and sparse-view computed tomography (CT) reconstruction, are essential yet challenging tasks for ...
Sacramento State University

Class Schedule

Covers the following topics: logic gates, binary nxumber system, conversion between number systems, Boolean algebra, Karnaugh maps, combinational logic, digital logic design, flip-flops, programmable ...
IEEE

Non-Uniform-Sampling-Enhanced LSTM-FCN Hybrid Network for Inverse Design of Optically Transparent Ultra-Wideband AFSR

Abstract: A new modeling framework integrating Ramer-Douglas-Peucker (RDP) non-uniform sampling (NUS) with a Long Short-Term Memory (LSTM)-Fully Connected Network (FCN) hybrid neural network (LFN) is ...
GitHub

Diffusion Prior-Based Amortized Variational Inference for Noisy Inverse Problems

This repository contains the official PyTorch implementation of DAVI: Diffusion Prior-Based Amortized Variational Inference for Noisy Inverse Problems accepted at ECCV 2024 as an oral presentation.
GitHub

Multi-task-deep-network

Psi-Net: Shape and boundary aware joint multi-task deep network for medical image segmentation (EMBC 2019) Conv-MCD: A Plug-and-Play Multi-task Module for Medical Image Segmentation (MICCAIW - MLMI ...