112 citations · 276 across the 21 of their papers we have counts for
9 papers · 1 filter
Mixed-Supervised Dual-Network for Medical Image Segmentation
Duo Wang, Ming Li, Nir Ben-Shlomo +4
Deep learning based medical image segmentation models usually require large datasets with high-quality dense segmentations to train, which are very time-consuming and expensive to…
rcosmo: R Package for Analysis of Spherical, HEALPix and Cosmological Data
Daniel Fryer, Ming Li, Andriy Olenko
The analysis of spatial observations on a sphere is important in areas such as geosciences, physics and embryo research, just to name a few. The purpose of the package rcosmo is to…
Quantum Anomaly Detection with Density Estimation and Multivariate Gaussian Distribution
Jin-Ming Liang, Shu-Qian Shen, Ming Li +1
We study quantum anomaly detection with density estimation and multivariate Gaussian distribution. Both algorithms are constructed using the standard gate-based model of quantum co…
Hybrid beamforming with dynamic subarrays and low-resolution PSs for mmWave MU-MISO systems
Hongyu Li, Ming Li, Qian Liu
Analog/digital hybrid beamforming architectures with large-scale antenna arrays have been widely considered in millimeter wave (mmWave) communication systems because they can addre…
DeepNovoV2: Better de novo peptide sequencing with deep learning
Rui Qiao, Ngoc Hieu Tran, Lei Xin +3
Personalized cancer vaccines are envisioned as the next generation rational cancer immunotherapy. The key step in developing personalized therapeutic cancer vaccines is to identify…
High-Resolution Network for Photorealistic Style Transfer
Ming Li, Chunyang Ye, Wei Li
Photorealistic style transfer aims to transfer the style of one image to another, but preserves the original structure and detail outline of the content image, which makes the cont…