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86 papers · 1 filter
Multiple Sclerosis Lesion Segmentation -- A Survey of Supervised CNN-Based Methods
Huahong Zhang, Ipek Oguz
Lesion segmentation is a core task for quantitative analysis of MRI scans of Multiple Sclerosis patients. The recent success of deep learning techniques in a variety of medical ima…
Graph Convolutional Networks for traffic anomaly
Yue Hu, Ao Qu, Dan Work
Event detection has been an important task in transportation, whose task is to detect points in time when large events disrupts a large portion of the urban traffic network. Travel…
Analysis of Previously Classified White Dwarf-Main Sequence Binaries Using Data from the APOGEE Survey
Kyle A. Corcoran, Hannah M. Lewis, Borja Anguiano +12
We present analyses of near-infrared, spectroscopic data from the Apache Point Observatory Galactic Evolution Experiment (APOGEE) survey for 45 previously confirmed or candidate wh…
Limitation of Acyclic Oriented Graphs Matching as Cell Tracking Accuracy Measure when Evaluating Mitosis
Ye Chen, Yuankai Huo
Multi-object tracking (MOT) in computer vision and cell tracking in biomedical image analysis are two similar research fields, whose common aim is to achieve instance level object…
Catalytically Potent and Selective Clusterzymes for Modulation of Neuroinflammation Through Single-Atom Substitutions
Haile Liu, Yonghui Li, Si Sun +10
Emerging artificial enzymes with reprogrammed and augmented catalytic activity and substrate selectivity have long been pursued with sustained efforts. The majority of current cand…
Multi-frequency coherent emission from superstructure thermal emitters
Guanyu Lu, Marko Tadjer, Joshua D. Caldwell +1
Long-range spatial coherence can be induced in thermal emitters by embedding a periodic grating into a material supporting propagating polaritons or dielectric modes. However, the…