Projective LDDMM: Mapping Molecular Digital Pathology with Tissue MRI

Kavli Affiliate: Michael Miller, Menno Witter | Authors: Kaitlin Stouffer, Menno Witter, Daniel Tward and Michael Miller | Summary: Reconstructing dense 3D anatomical coordinates from 2D projective measurements has become a central problem in both mouse and human digital pathology. We describe a new family of diffeomorphic mapping technologies called Projective LDDMM which generate diffeomorphic […]


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Parallel systems for social and spatial reasoning within the cortical apex

Kavli Affiliate: Winrich Freiwald | Authors: Ben Deen and Winrich A Freiwald | Summary: What is the cognitive and neural architecture for high-level reasoning? We hypothesize that systems for understanding people and places remain separate throughout the brain, but share a parallel organization. We test this hypothesis using deep neuroimaging of individual human brains on […]


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Ret loss-of-function decreases enteric neural crest progenitor proliferation and restricts developmental fate potential during enteric nervous system development

Kavli Affiliate: Loyal Goff | Authors: Elizabeth Vincent, Sumantra Chatterjee, Gabrielle H Cannon, Dallas Auer, Holly Ross, Aravinda Chakravarti and Loyal A Goff | Summary: The receptor tyrosine kinase gene RET plays a critical role in the fate specification of enteric neural crest-derived cells (ENCDCs) during enteric nervous system (ENS) development. Pathogenic RET loss of […]


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Analyzing the Adoption Challenges of the Internet of Things (IoT) and Artificial Intelligence (AI) for Smart Cities in China

Kavli Affiliate: Ke Wang | First 5 Authors: Ke Wang, Yafei Zhao, Rajan Kumar Gangadhari, Zhixing Li, | Summary: Smart cities play a vital role in the growth of a nation. In recent years, several countries have made huge investments in developing smart cities to offer sustainable living. However, there are some challenges to overcome […]


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DFAM-DETR: Deformable feature based attention mechanism DETR on slender object detection

Kavli Affiliate: Feng Wang | First 5 Authors: Wen Feng, Wang Mei, Hu Xiaojie, , | Summary: Object detection is one of the most significant aspects of computer vision, and it has achieved substantial results in a variety of domains. It is worth noting that there are few studies focusing on slender object detection. CNNs […]


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Symmetry-Breaking and Self-Sorting in Block Copolymer-based Multicomponent Nanocomposites

Kavli Affiliate: Ting Xu | First 5 Authors: Le Ma, Hejin Huang, Peter Ercius, Alfredo Alexander-Katz, Ting Xu | Summary: Co-assembly of inorganic nanoparticles (NPs) and nanostructured polymer matrix represents an intricate interplay of enthalpic or entropic forces. Particle size largely affects the phase behavior of the nanocomposite. Theoretical studies indicate that new morphologies would […]


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Revealing the Galaxy-Halo Connection Through Machine Learning

Kavli Affiliate: Nickolay Y. Gnedin | First 5 Authors: Ryan Hausen, Brant E. Robertson, Hanjue Zhu, Nickolay Y. Gnedin, Piero Madau | Summary: Understanding the connections between galaxy stellar mass, star formation rate, and dark matter halo mass represents a key goal of the theory of galaxy formation. Cosmological simulations that include hydrodynamics, physical treatments […]


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WebFace260M: A Benchmark for Million-Scale Deep Face Recognition

Kavli Affiliate: Zheng Zhu | First 5 Authors: Zheng Zhu, Guan Huang, Jiankang Deng, Yun Ye, Junjie Huang | Summary: Face benchmarks empower the research community to train and evaluate high-performance face recognition systems. In this paper, we contribute a new million-scale recognition benchmark, containing uncurated 4M identities/260M faces (WebFace260M) and cleaned 2M identities/42M faces […]


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Steering self-organisation through confinement

Kavli Affiliate: Gijsje Koenderink | Summary:Self-organisation is the spontaneous emergence of spatio-temporal structures and patterns from the interaction of smaller individual units. Examples are found across many scales in very different systems and scientific disciplines, from physics, materials science and robotics to biology, geophysics and astronomy. Recent research has highlighted how self-organisation can be both […]


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Learning to Purification for Unsupervised Person Re-identification

Kavli Affiliate: Xiang Zhang | First 5 Authors: Long Lan, Xiao Teng, Jing Zhang, Xiang Zhang, Dacheng Tao | Summary: Unsupervised person re-identification is a challenging and promising task in computer vision. Nowadays unsupervised person re-identification methods have achieved great progress by training with pseudo labels. However, how to purify feature and label noise is […]


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