78 citations · 193 across the 5 of their papers we have counts for
5 papers
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking Results
Raghav Mehta, Angelos Filos, Ujjwal Baid +89
Deep learning (DL) models have provided state-of-the-art performance in various medical imaging benchmarking challenges, including the Brain Tumor Segmentation (BraTS) challenges.…
Sequential vessel segmentation via deep channel attention network
Dongdong Hao, Song Ding, Linwei Qiu +4
This paper develops a novel encoder-decoder deep network architecture which exploits the several contextual frames of 2D+t sequential images in a sliding window centered at current…
STAN-CT: Standardizing CT Image using Generative Adversarial Network
Md Selim, Jie Zhang, Baowei Fei +2
Computed tomography (CT) plays an important role in lung malignancy diagnostics and therapy assessment and facilitating precision medicine delivery. However, the use of personalize…
Band selection for oxygenation estimation with multispectral/hyperspectral imaging
Leonardo A. Ayala, Fabian Isensee, Sebastian J. Wirkert +4
Multispectral imaging provides valuable information on tissue composition such as hemoglobin oxygen saturation. However, the real-time application of this technique in intervention…
Phase asymmetry ultrasound despeckling with fractional anisotropic diffusion and total variation
Kunqiang Mei, Bin Hu, Baowei Fei +1
We propose an ultrasound speckle filtering method for not only preserving various edge features but also filtering tissue-dependent complex speckle noises in ultrasound images. The…