Towards reliable head and neck cancers locoregional recurrence prediction using delta-radiomics and learning with rejection option

Posted by klaurent Peking

Kavli Affiliate: Jing Wang | First 5 Authors: Kai Wang, Michael Dohopolski, Qiongwen Zhang, David Sher, Jing Wang | Summary: A reliable locoregional recurrence (LRR) prediction model is important for the personalized management of head and neck cancers (HNC) patients. This work aims to develop a delta-radiomics feature-based multi-classifier, multi-objective, and multi-modality (Delta-mCOM) model for […]


Continue.. Towards reliable head and neck cancers locoregional recurrence prediction using delta-radiomics and learning with rejection option

A Learning-Based 3D EIT Image Reconstruction Method

Posted by klaurent UCAS

Kavli Affiliate: Yi Zhou | First 5 Authors: Zhaoguang Yi, Zhou Chen, Yunjie Yang, , | Summary: Deep learning has been widely employed to solve the Electrical Impedance Tomography (EIT) image reconstruction problem. Most existing physical model-based and learning-based approaches focus on 2D EIT image reconstruction. However, when they are directly extended to the 3D […]


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The Carnegie-Irvine Galaxy Survey. X. Bulges in Stellar Mass-based Scaling Relations

Posted by klaurent Peking

Kavli Affiliate: Luis C. Ho | First 5 Authors: Hua Gao, Luis C. Ho, Zhao-Yu Li, , | Summary: We measure optical colors for the bulges of 312 disk galaxies from the Carnegie-Irvine Galaxy Survey and convert their previously available $R$-band structural parameters to stellar mass parameters. We also measure their average stellar mass surface […]


Continue.. The Carnegie-Irvine Galaxy Survey. X. Bulges in Stellar Mass-based Scaling Relations

Structure of domain walls in chiral spin liquids

Posted by klaurent Berkeley

Kavli Affiliate: Joel E. Moore | First 5 Authors: Yan-Qi Wang, Chunxiao Liu, Joel E. Moore, , | Summary: The chiral spin liquid is one of the canonical examples of a topological state of quantum spins coexisting with symmetry-breaking chiral order; its experimental realization has been actively discussed in the past few years. Here, motivated […]


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Learned Lossless Image Compression With Combined Autoregressive Models And Attention Modules

Posted by klaurent Peking

Kavli Affiliate: Ran Wang | First 5 Authors: Ran Wang, Jinming Liu, Heming Sun, Jiro Katto, | Summary: Lossless image compression is an essential research field in image compression. Recently, learning-based image compression methods achieved impressive performance compared with traditional lossless methods, such as WebP, JPEG2000, and FLIF. However, there are still many impressive lossy […]


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GPI 2.0: Characterizing Self-Luminous Exoplanets Through Low-Resolution Infrared Spectroscopy

Posted by dbos Stanford

Kavli Affiliate: Arlene Aleman | First 5 Authors: Arlene Aleman, Bruce Macintosh, Mary Anne Limbach, Mark Marley, Jeffrey Chilcote | Summary: Direct imaging characterization of extrasolar planets is often done at low spectral resolution. We model the spectrograph for the Gemini Planet Imager upgrade (GPI 2.0) and assess the instrument’s potential for allowing observers to […]


Continue.. GPI 2.0: Characterizing Self-Luminous Exoplanets Through Low-Resolution Infrared Spectroscopy

Colour and infall time distributions of satellite galaxies in simulated Milky-Way analogs

Posted by klaurent Chicago

Kavli Affiliate: Andrey Kravtsov | First 5 Authors: Yue Pan, Christine M. Simpson, Andrey Kravtsov, Facundo A. Gómez, Robert J. J. Grand | Summary: We compare here the colours of simulated satellite galaxies from the Auriga project to observed satellite galaxies from the Exploration of Local VolumE Satellites (ELVES) Survey of satellite galaxies around local […]


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Reconstructing Large-scale Temperature Profiles around $zsim 6$ Quasars

Posted by klaurent Chicago

Kavli Affiliate: Nickolay Y. Gnedin | First 5 Authors: Huanqing Chen, Rupert Croft, Nickolay Y. Gnedin, , | Summary: High-redshift quasars ionize HeII into HeIII around them, heating the IGM in the process and creating large regions with elevated temperature. In this work, we demonstrate a method based on a convolutional neural network (CNN) to […]


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Accretion Burst Echoes as Probes of Protostellar Environments and Episodic Mass Assembly

Posted by klaurent Peking

Kavli Affiliate: Gregory J. Herczeg | First 5 Authors: Logan Francis, Doug Johnstone, Jeong-Eun Lee, Gregory J. Herczeg, Feng Long | Summary: Protostars likely accrete material at a highly time variable rate, however, measurements of accretion variability from the youngest protostars are rare, as they are still deeply embedded within their envelopes. Sub-mm/mm observations can […]


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Numerical modeling of the multi-stage Stern$unicode{x2013}$Gerlach experiment by Frisch and Segrè using co-quantum dynamics via the Bloch equation

Posted by klaurent Caltech

Kavli Affiliate: Lihong V. Wang | First 5 Authors: Kelvin Titimbo, David C. Garrett, S. Süleyman Kahraman, Zhe He, Lihong V. Wang | Summary: We numerically study the spin flip in the Frisch$unicode{x2013}$Segr`e experiment, the first multi-stage Stern$unicode{x2013}$Gerlach experiment, within the context of the novel co-quantum dynamics theory. We model the middle stage responsible for […]


Continue.. Numerical modeling of the multi-stage Stern$unicode{x2013}$Gerlach experiment by Frisch and Segrè using co-quantum dynamics via the Bloch equation