Li Wang focuses on Artificial intelligence, Segmentation, Magnetic resonance imaging, Neuroscience and Gene. His Artificial intelligence research incorporates themes from White matter, Computer vision and Pattern recognition. His Computer vision study combines topics from a wide range of disciplines, such as Partial volume, Sparse approximation and Brain tissue.
His research related to Image segmentation and Level set method might be considered part of Segmentation. His work on Active contour model as part of general Image segmentation research is often related to Initialization, thus linking different fields of science. His research in Deep learning intersects with topics in Image and Convolutional neural network.
Li Wang focuses on Internal medicine, Artificial intelligence, Chemical engineering, Computer network and Pattern recognition. Li Wang combines subjects such as Gastroenterology, Endocrinology and Oncology with his study of Internal medicine. His study in Artificial intelligence is interdisciplinary in nature, drawing from both Magnetic resonance imaging and Computer vision.
His Computer network study typically links adjacent topics like Wireless.
His main research concerns Artificial intelligence, Internal medicine, Chemical engineering, Cancer research and Pattern recognition. The various areas that he examines in his Artificial intelligence study include Machine learning and Computer vision. The Internal medicine study combines topics in areas such as Endocrinology and Oncology.
His Chemical engineering study integrates concerns from other disciplines, such as Electrolyte and Electrochemistry. His Electrolyte research integrates issues from Battery and Anode. His Cancer research study often links to related topics such as Lymphoma.
His primary areas of study are Artificial intelligence, Cancer research, Internal medicine, Nanotechnology and Chemical engineering. His Artificial intelligence research is multidisciplinary, incorporating perspectives in Machine learning and Pattern recognition. His Internal medicine research is multidisciplinary, incorporating elements of Genetic model, Endocrinology and Oncology.
His Nanotechnology research is multidisciplinary, relying on both Orange juice and Raman spectroscopy. In his research, Ion, Electrolyte and Lithium is intimately related to Electrochemistry, which falls under the overarching field of Chemical engineering. His Segmentation study improves the overall literature in Computer vision.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
An integrated encyclopedia of DNA elements in the human genome
Ian Dunham;Anshul Kundaje;Shelley F. Aldred;Patrick J. Collins.
Deep convolutional neural networks for multi-modality isointense infant brain image segmentation.
Wenlu Zhang;Rongjian Li;Houtao Deng;Li Wang.
Active contours driven by local Gaussian distribution fitting energy
Li Wang;Lei He;Arabinda Mishra;Chunming Li.
Signal Processing (2009)
Performance enhancement of ZnO photocatalyst via synergic effect of surface oxygen defect and graphene hybridization.
Xiaojuan Bai;Li Wang;Ruilong Zong;Yanhui Lv.
Photocatalytic Activity Enhanced via g-C3N4 Nanoplates to Nanorods
Xiaojuan Bai;Li Wang;Ruilong Zong;Yongfa Zhu.
Journal of Physical Chemistry C (2013)
Incidence of death and acute myocardial infarction associated with stopping clopidogrel after acute coronary syndrome.
P. Michael Ho;Eric D. Peterson;Li Wang;David J. Magid.
Active contours driven by local and global intensity fitting energy with application to brain MR image segmentation.
Li Wang;Chunming Li;Quansen Sun;Deshen Xia.
Computerized Medical Imaging and Graphics (2009)
A novel hydrogen peroxide sensor based on horseradish peroxidase immobilized on colloidal Au modified ITO electrode
Li Wang;Erkang Wang.
Electrochemistry Communications (2004)
Deep learning based imaging data completion for improved brain disease diagnosis.
Rongjian Li;Wenlu Zhang;Heung Il Suk;Li Wang.
medical image computing and computer-assisted intervention (2014)
Electrospun Porous Structure Fibrous Film with High Oil Adsorption Capacity
Jing Wu;Nü Wang;Li Wang;Hua Dong.
ACS Applied Materials & Interfaces (2012)
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