Diffusion Models for Hyperspectral Image Analysis: A Comprehensive Review

Kavli Affiliate: Linhua Jiang | Summary:Hyperspectral image (HSI) analysis plays a critical role in remote sensing, agriculture, and environmental monitoring. However, traditional methods often struggle to handle the high dimensionality, spectral redundancy, and noise inherent in HSI data, limiting their accuracy and scalability. Recently, diffusion models including denoising diffusion probabilistic models and other generative frameworks […]


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WeGA: Weakly-Supervised Global-Local Affinity Learning Framework for Lymph Node Metastasis Prediction in Rectal Cancer

Kavli Affiliate: Feng Yuan | First 5 Authors: Yifan Gao, Yaoxian Dong, Wenbin Wu, Chaoyang Ge, Feng Yuan | Summary: Accurate lymph node metastasis (LNM) assessment in rectal cancer is essential for treatment planning, yet current MRI-based evaluation shows unsatisfactory accuracy, leading to suboptimal clinical decisions. Developing automated systems also faces significant obstacles, primarily the […]


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Origin of the ring ellipticity in the black hole images of M87*

Kavli Affiliate: Feng Yuan | First 5 Authors: Rohan Dahale, Ilje Cho, Kotaro Moriyama, Kaj Wiik, Paul Tiede | Summary: We investigate the origin of the elliptical ring structure observed in the images of the supermassive black hole M87*, aiming to disentangle contributions from gravitational, astrophysical, and imaging effects. Leveraging the enhanced capabilities of the […]


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Shared Properties of Merger-driven Long-duration Gamma-Ray Bursts

Kavli Affiliate: Zhuo Li | First 5 Authors: Yacheng Kang, Jin-Ping Zhu, Yu-Han Yang, Ziming Wang, Eleonora Troja | Summary: The recent detections of bright optical/infrared kilonova signals following two long-duration gamma-ray bursts (LGRBs), GRB 211211A and GRB 230307A, have significantly challenged the traditional classification of GRBs. These merger-driven LGRBs may represent a distinct GRB […]


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Constraining Fermionic Dark Matter with Galactic Neutron Stars

Kavli Affiliate: Lijing Shao| First 5 Authors: Jianyuan Luo, Jianyuan Luo, , , | Summary:Dark matter (DM) remains one of the most significant open questions in modern physics, with its nature and interactions largely unexplored. In this study, we investigate the behavior of massive fermionic DM particles in the context of neutron stars (NSs), extending […]


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Template-Guided Reconstruction of Pulmonary Segments with Neural Implicit Functions

Kavli Affiliate: Li Xin Li| First 5 Authors: [#item_custom_name[1, [#item_custom_name[2, [#item_custom_name[3, [#item_custom_name[4, [#item_custom_name[5| Summary:High-quality 3D reconstruction of pulmonary segments plays a crucial role in segmentectomy and surgical planning for the treatment of lung cancer. Due to the resolution requirement of the target reconstruction, conventional deep learning-based methods often suffer from computational resource constraints or limited […]


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ABS-Mamba: SAM2-Driven Bidirectional Spiral Mamba Network for Medical Image Translation

Kavli Affiliate: Feng Yuan | First 5 Authors: Feng Yuan, Yifan Gao, Wenbin Wu, Keqing Wu, Xiaotong Guo | Summary: Accurate multi-modal medical image translation requires ha-rmonizing global anatomical semantics and local structural fidelity, a challenge complicated by intermodality information loss and structural distortion. We propose ABS-Mamba, a novel architecture integrating the Segment Anything Model […]


Continue.. ABS-Mamba: SAM2-Driven Bidirectional Spiral Mamba Network for Medical Image Translation

ABS-Mamba: SAM2-Driven Bidirectional Spiral Mamba Network for Medical Image Translation

Kavli Affiliate: Feng Yuan | First 5 Authors: Feng Yuan, Feng Yuan, , , | Summary: Accurate multi-modal medical image translation requires ha-rmonizing global anatomical semantics and local structural fidelity, a challenge complicated by intermodality information loss and structural distortion. We propose ABS-Mamba, a novel architecture integrating the Segment Anything Model 2 (SAM2) for organ-aware […]


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Rapid formation of a very massive star >50000 $M_odot$ and subsequently an IMBH from runaway collisions. Direct N-body and Monte Carlo simulations of dense star clusters

Kavli Affiliate: Rainer Spurzem | Summary:Context. We present simulations of a massive young star cluster using textscNbody6++GPU and textscMOCCA. The cluster is initially more compact than previously published models, with one million stars, a total mass of $5.86 times 10^5~mathrmM_odot$, and a half-mass radius of $0.1~mathrmpc$. Aims. We analyse the formation and growth of a […]


Continue.. Rapid formation of a very massive star >50000 $M_odot$ and subsequently an IMBH from runaway collisions. Direct N-body and Monte Carlo simulations of dense star clusters

Black Hole Envelopes in Little Red Dots

Kavli Affiliate: Kohei Inayoshi| First 5 Authors: Daisaburo Kido, Daisaburo Kido, , , | Summary:Recent observations by the James Webb Space Telescope have uncovered a population of compact, red object ($zsim 4text–7$) known as little red dots (LRDs). The presence of broad Balmer emission lines indicates active galactic nuclei powered by supermassive black holes (BHs), […]


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