Development of a new VMAT QA framework for Mobius3D using control-point specific EPID images by JaeHyun Seok, JaeHyun Seok, JaeHyun Seok, Hojin Kim, Min Cheol Han, Jihun Kim, Kwangwoo Park, Hyeonjeong Cho, Hyeonjeong Cho, Hyeonjeong Cho, Dohyeon Yoo, Jin Sung Kim, Jin Sung Kim, Jin Sung Kim

“…Positional deviations due to gantry and collimator rotations were observed to be up to 4.5 pixels. Recalibrated EPID pixel values showed linearity with MU regardless of changes in dose rate. …”
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Method for Identifying Abnormal Hot Spots on the Surface of Composite Insulators by LIU Yao

“…Based on the thermal image segmentation results of composite insulators, pixel statistical methods are used to calculate the horizontal row pixel points of the composite insulator segmentation image and divide the structural area of the composite insulator. …”
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Feasibility study of 4D-online monitoring of density gradients induced by lung cancer treatment using carbon ions by Claire-Anne Reidel, Enrico Pierobon, Felix Horst, Lévana Gesson, Lévana Gesson, Athena Paz, Christian Graeff, Christian Graeff, Timo Steinsberger, Klemens Zink, Klemens Zink, Matthias Witt, Matthias Witt, Yannick Senger, Christian Finck, Marie Vanstalle, Chiara La Tessa, Chiara La Tessa, Marco Durante, Marco Durante, Marco Durante, Uli Weber, Uli Weber, Christoph Schuy

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Data Analysis of Ceramic Material Color Matching Collection Points in Furniture Design Based on the Image Difference Prediction Model by Cheng Zhou, Yalan Li

“…This experiment uses image difference prediction model to remove the redundant pixels of ceramic material color and make multiple judgments on color display. …”
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Weld seam location with adaptive fracture repair on minor-caliber pipe by Yong Yan, Jingyu Zhang, Lingjiang Guo, Heming Zhao, Fan Zhang

“…Positioning experiment of pipeline welds validates the algorithm effectiveness by a maximum positional error of 3.6 pixels and an average error of 0.98 pixel. The deviation rate of the weld center point from the manually calibrated 40.68 pixels is below 5 %. …”
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A nonparametric approach for detecting urban polycentric spatial structure in China using remote sensing nighttime light and point of interest data by Linlin Jiang, Yizhen Wu, Junru Wang, Huiran Han, Kaifang Shi

“…Then, a local spatial autocorrelation model was utilized to identify pixel clusters. Finally, post-processing was performed to optimize urban centers, subsequently calculating MUPS. …”
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MSFNet3D: Monocular 3D Object Detection via Dual-Branch Depth-Consistent Fusion and Semantic-Guided Point Cloud Refinement by Rong Yang, Zhijie You, Renhui Luo

“…This module captures multi-scale geometric features through a hierarchical feature pyramid and an adaptive weight allocation mechanism, thereby addressing the scale sensitivity inherent in traditional attention mechanisms. (2) We propose a consistency-weighted fusion strategy that employs local gradient consistency analysis and differentiable weighted optimization to achieve a pixel-level fusion of image and depth features. …”
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Application of microscopic smartphone attachment for remote preoperative lab testing by Kefan Song, Kefan Song, Alexander T. Adams, Alexander T. Adams

“…This study aims to address these challenges by applying a previously developed point-of-care (POC) device system to perform accurate and rapid lab tests. …”
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Unified Dynamic Dictionary and Projection Optimization With Full-Rank Representation for Hyperspectral Anomaly Detection by Hongran Li, Chao Wei, Yizhou Yang, Zhaoman Zhong, Ming Xu, Dongqing Yuan

“…Hyperspectral anomaly detection (HAD) aims to classify each pixel in a hyperspectral image as either background or anomaly without requiring labeled data. …”
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Hyperspectral Image Segmentation for Optimal Satellite Operations: In-Orbit Deployment of 1D-CNN by Jon Alvarez Justo, Dennis D. Langer, Simen Berg, Jens Nieke, Radu Tudor Ionescu, Per Gunnar Kjeldsberg, Tor Arne Johansen

“…We demonstrate in-flight segmentation of hyperspectral images via the 1D-CNN to classify pixels into sea, land, and cloud categories. We show how in-orbit segmentation improves satellite operations, increases automation, and optimizes downlink. …”
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EC-WAMI: Event Camera-Based Pose Optimization in Remote Sensing and Wide-Area Motion Imagery by Isaac Nkrumah, Maryam Moshrefizadeh, Omar Tahri, Erik Blasch, Kannappan Palaniappan, Hadi AliAkbarpour

“…To evaluate the effectiveness of ECs in WAMI, we simulate event data from RGB WAMI imagery and integrate them into SfM pipelines for camera pose optimization and 3D point cloud generation. Using two state-of-the-art SfM methods, namely, COLMAP and Bundle Adjustment for Sequential Imagery (BA4S), we show that although ECs do not capture scene content like traditional cameras, their spike-based events, which only measure <i>illumination changes</i>, allow for accurate camera pose recovery in WAMI scenarios even in low-framerate(5 fps) simulations. …”
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A Novel Approach to Optimize Key Limitations of Azure Kinect DK for Efficient and Precise Leaf Area Measurement by Ziang Niu, Ting Huang, Chengjia Xu, Xinyue Sun, Mohamed Farag Taha, Yong He, Zhengjun Qiu

“…Furthermore, a semantic information-guided depth inpainting method was proposed, designed to repair void and flying pixels commonly observed in Azure Kinect DK outputs. …”
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Leveraging advanced feature extraction for improved kidney biopsy segmentation by Muhammad Wajeeh Us Sima, Chengliang Wang, Muhammad Arshad, Jamshed Ali Shaikh, Salem Alkhalaf, Fahad Alturise

“…To address these limitations, we propose V-SAM, a novel framework enhancing SAM's architecture through three key innovations: (1) a V-shaped adapter that preserves spatial hierarchies via multi-scale skip connections, recovering capillary-level details lost in SAM's aggressive downsampling; (2) lightweight adapter layers that fine-tune SAM's frozen encoder with fewer trainable parameters, optimizing it for histopathology textures while avoiding catastrophic forgetting; and (3) a dynamic point-prompt mechanism enabling sub-pixel refinement of glomerular boundaries through gradient aware localization. …”
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Preliminary clinical performance of a Cas13a-based lateral flow assay for detecting Neisseria gonorrhoeae in urine specimens by Lao-Tzu Allan-Blitz, Gordon Adams, Gabriela Sanders, Palak Shah, Krithik Ramesh, Jana Jarolimova, Kevin L. Ard, John A. Branda, Jeffrey D. Klausner, Pardis C. Sabeti, Jacob E. Lemieux

“…We aimed to pair that assay with point-of-care DNA extraction, assess performance in clinical urine specimens, and optimize assay kinetics. …”
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DASNeRF: depth consistency optimization, adaptive sampling, and hierarchical structural fusion for sparse view neural radiance fields. by Yongshuo Zhang, Guangyuan Zhang, Kefeng Li, Zhenfang Zhu, Peng Wang, Zhenfei Wang, Chen Fu, Xiaotong Li, Zhiming Fan, Yongpeng Zhao

“…In the optimized sampling phase, the sampling point density in key regions is adaptively increased while reducing sampling in low-priority regions, enhancing detail capture accuracy. …”
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Real time interpolation algorithm based on Lanczos kernel by Ying GUO, Lun LI, Peng WANG

“…In order to improve the timeliness and reliability of color image scaling algorithms,a high effective real-time color image scaling algorithm was proposed,which first generated the kernel look up table that could be used for whole target image based on Lanczos kernel,and interpolation of all target image pixels had only fixed point operation which had low computational complexity.Meanwhile,an optimized method for rasterizing pixels of target image was proposed,which needed little memory space but embraced high efficiency of memory utilization.The experiment results show that the proposed algorithm achieves good image quality,and the computational complexity is far more less than classic image scaling algorithms.So the proposed algorithm can effectively implement real-time resizing of color images and color videos in any scaling factors.…”
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An applied noise model for scintillation-based CCD detectors in transmission electron microscopy by Christian Zietlow, Jörg K. N. Lindner

“…Further, signals measured with pixelated detectors are convolved with the inherent detector point spread function. …”
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Continuous High-Precision Positioning in Smartphones by FGO-Based Fusion of GNSS–PPK and PDR by Amjad Hussain Magsi, Luis Enrique Díez, Stefan Knauth

“…In addition to this, different GNSS processing techniques like Precise Point Positioning (PPP) and Real-Time Kinematic (RTK) have also been integrated with INS. …”
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A Novel Absolute/Relative Fusion Approach for Visual Localization of Planetary Lander Employing a Unified Error Metric by Yaxuan Feng, Xiaohua Tong, Xiong Xu, Yanmin Jin, Huan Xie, Yongjiu Feng, Chao Wang, Changjiang Xiao

“…A unified error metric is designed by jointly optimizing reprojection, landmark consistency, and interframe pose errors, therefore converting all error metrics to a unified pixel scale to avoid weighting issues. …”
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A Tunnel Lining Line Identification Algorithm Based on Supervised Heatmap by Heng SONG, Yisheng ZHANG, Tianbao GENG, Dongjie WANG

“…The optimal effect occurs when 8~10 outer points are used, with curve spacing errors of 3.48, 3.13, and 2.44 pixels, respectively, and improvement effects of 1.84, 1.88, and 2.08 pixels. …”
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