Baochun He
Shenzhen University(CN)University Town of Shenzhen(CN)Shenzhen Institutes of Advanced Technology(CN)Shenzhen Technology University(CN)
Publications by Year
Research Areas
Medical Image Segmentation Techniques, Radiomics and Machine Learning in Medical Imaging, Advanced Neural Network Applications, Medical Imaging and Analysis, Hepatocellular Carcinoma Treatment and Prognosis
Most-Cited Works
- → The Medical Segmentation Decathlon(2022)1,122 cited
- → Augmented reality navigation for liver resection with a stereoscopic laparoscope(2019)101 cited
- → A radiomics-based nomogram for the preoperative prediction of posthepatectomy liver failure in patients with hepatocellular carcinoma(2018)64 cited
- → MDCC-Net: Multiscale double-channel convolution U-Net framework for colorectal tumor segmentation(2020)40 cited
- → A radiomics-based formula for the preoperative prediction of postoperative pancreatic fistula in patients with pancreaticoduodenectomy(2018)38 cited
- → Fast automatic 3D liver segmentation based on a three-level AdaBoost-guided active shape model(2016)34 cited