Publications by authors named "Guosheng Lin"

Understanding motion in dynamic environments is critical for autonomous driving, thereby motivating research on class-agnostic motion prediction. In this work, we investigate weakly and self-supervised class-agnostic motion prediction from LiDAR point clouds. Outdoor scenes typically consist of mobile foregrounds and static backgrounds, allowing motion understanding to be associated with scene parsing.

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Death-associated protein kinase 1 (DAPK1) is a tumor suppressor gene involved in apoptosis, autophagy, and tumor progression. However, its role in hypertension (HTN) remains largely unexplored and lacks systematic evaluation. We administered adeno-associated virus (AAV) harboring short hairpin RNA targeting DAPK1 or control short hairpin RNA to male spontaneously hypertensive rats (SHRs) and Wistar-Kyoto rats.

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Novel view synthesis for dynamic 3D scenes poses a significant challenge. Many notable efforts use NeRF-based approaches to address this task and yield impressive results. However, these methods rely heavily on sufficient motion parallax in the input images or videos.

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Recent neural networks based surface reconstruction can be roughly divided into two categories, one warping templates explicitly and the other representing 3D surfaces implicitly. To enjoy the advantages of both, we propose a novel 3D representation, Neural Vector Fields (NVF), which adopts the explicit learning process to manipulate meshes and implicit unsigned distance function (UDF) representation to break the barriers in resolution and topology. This is achieved by directly predicting the displacements from surface queries and modeling shapes as Vector Fields, rather than relying on network differentiation to obtain direction fields as most existing UDF-based methods do.

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Background: Raised erosive gastritis (REG) is a chronic gastritis with a high risk of malignant transformation. Current treatments often result in high recurrence rates and complications. Jianpi Qinghua Sanyu Yin (JPQHSYY), a traditional Chinese medicine, shows promise in treating REG.

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Background: Neoadjuvant chemotherapy (NAC) has been confirmed to improve the prognosis of patients with advanced gastric cancer (AGC). However, no study has investigated whether Helicobacter pylori (HP) infection affects the postoperative survival of patients who receive NAC.

Methods: This retrospective cohort study included 307 patients with AGC who underwent laparoscopic radical gastrectomy after NAC at three hospitals in China between January 1, 2016, and April 31, 2020.

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We present the first framework capable of synthesizing the all-in-focus neural radiance field (NeRF) from inputs without manual refocusing. Without refocusing, the camera will automatically focus on the fixed object for all views, and current NeRF methods typically using one camera fail due to the consistent defocus blur and a lack of sharp reference. To restore the all-in-focus NeRF, we introduce the dual-camera from smartphones, where the ultra-wide camera has a wider depth-of-field (DoF) and the main camera possesses a higher resolution.

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Recently, some weakly supervised 3D point cloud segmentation methods have been proposed to develop effective models with minimum annotation efforts. Our previous work, W4DTS, proposes a challenging task that utilizes only 0.001% points in outdoor point cloud datasets to achieve an effective segmentation model.

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Despite significant advancements in simulating the bokeh effect of Digital Single Lens Reflex Camera (DSLR) from an all-in-focus image, challenges remain in processing highlight points, preserving boundary details for in-focus objects and processing high-resolution images efficiently. To tackle these issues, we first develop a ray-tracing-based bokeh simulator. An innovative pipeline with weight redistribution is introduced to handle highlight rendering.

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Background: Metastasis remains the leading cause of cancer mortality. The natural product brusatol (Bru) has exhibited promising anticancer activity; however, the target proteins of Bru and the underlying mechanisms in suppressing tumor metastasis remain unclear.

Purpose: We aim to identify the target of Bru and examine its role in suppressing tumor metastasis.

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Background: Although neferine exhibits obvious therapeutic effects against hypertension, its effects on cardiac protection remain unknown.

Purpose: This study aimed to investigate its potential cardioprotective effects and associated mechanisms.

Methods: Spontaneously hypertensive rats (SHRs) were randomly divided into four groups, namely SHR, SHR + Neferine-L (2.

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Background: Hypertension-induced cardiac disease is a common complication and a significant contributor to mortality in hypertensive patients, largely due to cardiomyocyte apoptosis. Although Trifolin has been identified as a potential antihypertensive compound, its therapeutic role in hypertension-induced cardiac injury remains uncertain.

Purpose: This study aims to evaluate the protective effects of Trifolin and explore the underlying mechanisms of its action against hypertension-induced cardiac injury.

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Mid-infrared (MIR) Kerr microcombs are of significant interest for portable dual-comb spectroscopy and precision molecular sensing due to strong molecular vibrational absorption in the MIR band. However, achieving a compact, octave-spanning MIR Kerr microcomb remains a challenge due to the lack of suitable MIR photonic materials for the core and cladding of integrated devices and appropriate MIR continuous-wave (CW) pump lasers. Here, we propose a novel slot concentric dual-ring (SCDR) microresonator based on an integrated chalcogenide glass chip, which offers excellent transmission performance and flexible dispersion engineering in the MIR band.

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Article Synopsis
  • Training a generative model with limited data, like just 10 samples, poses significant challenges, often leading to overfitting and a loss of content while adapting style.
  • Recent methods attempt to maintain a content-style correspondence, but they still struggle with diversity and effective style adaptation.
  • The proposed method introduces a paired image reconstruction approach with a translation module that helps separate style and content, demonstrating superior performance compared to existing methods in few-shot scenarios.
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Article Synopsis
  • Video depth estimation involves predicting depth information from videos consistently over time, but traditional methods, like finetuning single-image models, can be inefficient and unreliable.
  • The proposed NVDS method stabilizes these depth estimates and utilizes a new expansive dataset called Video Depth in the Wild (VDW), which features over 14,000 videos, making it the largest of its kind.
  • NVDS improves depth estimation consistency and accuracy through a bidirectional inference technique and is versatile enough to be applied in various areas such as semantic segmentation and 3D reconstruction, showing promising results in multiple evaluations.
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Article Synopsis
  • Dehydrocorydaline (DHC), an active component of a plant used in traditional medicine, shows promise in treating coronary heart disease due to its protective and pain-relieving effects, though the mechanism is not fully understood.
  • The study aimed to investigate whether DHC can mitigate myocardial ischemia-reperfusion injury (MIRI) by affecting the FoxO signaling pathway to reduce cell death (apoptosis).
  • Experimental results demonstrated that DHC improved heart function in a mouse model of MIRI and reduced apoptosis and oxidative stress in heart cells exposed to hypoxia, principally through the FoxO pathway.
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Baicalin, a flavonoid glycoside from Scutellaria baicalensis Georgi., exerts anti-hypertensive effects. The present study aimed to assess the cardioprotective role of baicalin and explore its potential mechanisms.

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Background: Pien Tze Huang (PZH), a traditional Chinese medicine formulation, is recognized for its therapeutic effect on colitis and colorectal cancer. However, its protective role and underlying mechanism in colitis-associated colorectal cancer (CAC) remain to be elucidated.

Methods: A CAC mouse model was established using AOM/DSS.

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Large-scale datasets with point-wise semantic and instance labels are crucial to 3D instance segmentation but also expensive. To leverage unlabeled data, previous semi-supervised 3D instance segmentation approaches have explored self-training frameworks, which rely on high-quality pseudo labels for consistency regularization. They intuitively utilize both instance and semantic pseudo labels in a joint learning manner.

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In this article, we investigate self-supervised 3D scene flow estimation and class-agnostic motion prediction on point clouds. A realistic scene can be well modeled as a collection of rigidly moving parts, therefore its scene flow can be represented as a combination of rigid motion of these individual parts. Building upon this observation, we propose to generate pseudo scene flow labels for self-supervised learning through piecewise rigid motion estimation, in which the source point cloud is decomposed into local regions and each region is treated as rigid.

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Few-shot single-view 3D reconstruction learns to reconstruct the novel category objects based on a query image and a few support shapes. However, since the query image and the support shapes are of different modalities, there is an inherent feature misalignment problem damaging the reconstruction. Previous works in the literature do not consider this problem.

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Background: The impact of achieving textbook oncological outcome (TOO) as a multimodal therapy quality indicator on the prognosis of advanced gastric cancer (AGC) remains inadequately assessed.

Methods: Patients with AGC who underwent curative gastrectomy between January 2010 and December 2017 at two East Asian medical centers were included. TOO was defined as achieving the textbook outcome (TO) and receiving neoadjuvant and/or adjuvant chemotherapy (NCT or ACT).

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Background: Indocyanine green (ICG) fluorescence imaging is effective in increasing the number of lymph node dissections during laparoscopic radical gastrectomy; however, no studies have attempted to explain this phenomenon.

Methods: This study utilized the data from a previous randomized controlled trial (FUGES-012 study) investigating ICG-guided laparoscopic radical gastrectomy performed between November 2018 and July 2019. The Objective Structured Assessments of Technical Skills (OSATS) scoring system was used to grade videos from the ICG and non-ICG groups.

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Background: The long-term dynamic recurrence hazard of locally advanced gastric cancer (LAGC) in the clinical setting of adjuvant chemotherapy (ACT) remains unclear.

Purpose: This study aimed to investigate the dynamic recurrence risk of LAGC in patients who received ACT or not.

Methods: The study assessed data from patients with LAGC who underwent radical gastrectomy between January, 2010 and October, 2015.

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Background: Due to lacking evidence on surveillance for gastric cancer (GC), this study aimed to determine the optimal postsurgical surveillance strategy for pathological stage (pStage) II/III GC patients and compare its cost-effectiveness with traditional surveillance strategies.

Methods: Prospectively collected data from stage II/III GC patients ( n =1661) who underwent upfront surgery at a large-volume tertiary cancer center in China (FJMUUH cohort) between January 2010 and October 2015. For external validation, two independent cohorts were included, which were composed of 380 stage II/III GC patients at an tertiary cancer center in U.

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