DiffSwinTr: A diffusion model using 3D Swin Transformer for brain tumor segmentation.
Int. J. Imaging Syst. Technol., May, 2024
Two-Branch network for brain tumor segmentation using attention mechanism and super-resolution reconstruction.
Comput. Biol. Medicine, May, 2023
Noisy Pooled PCR for Virus Testing.
CoRR, 2020
Siamese Network Using Adaptive Background Superposition Initialization for Real-Time Object Tracking.
IEEE Access, 2019
DSOD: DSO in Dynamic Environments.
IEEE Access, 2019
Performance Limits With Additive Error Metrics in Noisy Multimeasurement Vector Problems.
IEEE Trans. Signal Process., 2018
Performance Limits with Additive Error Metrics in Noisy Multi-Measurement Vector Problem.
CoRR, 2018
Performance Limits for Noisy Multimeasurement Vector Problems.
IEEE Trans. Signal Process., 2017
Statistical Physics and Information Theory Perspectives on Linear Inverse Problems.
CoRR, 2017
An overview of multi-processor approximate message passing.
Proceedings of the 51st Annual Conference on Information Sciences and Systems, 2017
Generalized geometric programming for rate allocation in consensus.
Proceedings of the 55th Annual Allerton Conference on Communication, 2017
Approximate Message Passing Algorithm With Universal Denoising and Gaussian Mixture Learning.
IEEE Trans. Signal Process., 2016
Performance Limits for Noisy Multi-Measurement Vector Problems.
CoRR, 2016
Multi-Processor Approximate Message Passing with Lossy Compression.
CoRR, 2016
Performance trade-offs in multi-processor approximate message passing.
Proceedings of the IEEE International Symposium on Information Theory, 2016
Multi-processor approximate message passing using lossy compression.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
Recovery From Linear Measurements With Complexity-Matching Universal Signal Estimation.
IEEE Trans. Signal Process., 2015
Approximate Message Passing with Universal Denoising.
CoRR, 2015
Compressed Sensing via Universal Denoising and Approximate Message Passing.
CoRR, 2014
Complexity-adaptive universal signal estimation for compressed sensing.
Proceedings of the IEEE Workshop on Statistical Signal Processing, 2014
Performance regions in compressed sensing from noisy measurements.
Proceedings of the 47th Annual Conference on Information Sciences and Systems, 2013