Changes in clinical and imaging variables during withdrawal of heart failure therapy in recovered dilated cardiomyopathy by Brian P. Halliday, Ruth Owen, John Gregson, Ali Vazir, Rebecca Wassall, Zohya Khalique, Amrit S. Lota, Upasana Tayal, Daniel J. Hammersley, Richard E. Jones, Dudley J. Pennell, Martin R. Cowie, John G.F. Cleland, Sanjay K. Prasad

“…Clinical variables were measured at each study visit and imaging variables were measured at baseline, 16 weeks, and 6 months. …”
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Noninvasive Near-infrared Imaging of Fluorochromes within the Brains of Live Mice: An In Vivo Phantom Study by Jan Klohs, Jens Steinbrink, Till Nierhaus, Riad Bourayou, Ute Lindauer, Peyman Bahmani, Ulrich Dirnagl, Andreas Wunder

“…Molecular Imaging…”
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Mapping hippocampal glutamate in healthy aging with in vivo glutamate-weighted CEST (GluCEST) imaging by Maggie K. Pecsok, Heather Robinson, Ally Atkins, Monica E. Calkins, Monica E. Calkins, Mark A. Elliott, Arianna Mordy, Jacquelyn Stifelman, Ruben C. Gur, Ruben C. Gur, Paul J. Moberg, Ravi Prakash Reddy Nanga, Kosha Ruparel, Kosha Ruparel, Russell T. Shinohara, David A. Wolk, Ravinder Reddy, David R. Roalf, David R. Roalf

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Correction: Multifunctional nanobubbles carrying indocyanine green and paclitaxel for molecular imaging and the treatment of prostate cancer by Minmin Lan, Lianhua Zhu, Yixuan Wang, Daijia Shen, Kejing Fang, Yu Liu, Yanli Peng, Bin Qiao, Yanli Guo

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Introducing an ensemble method for the early detection of Alzheimer's disease through the analysis of PET scan images by Arezoo Borji, Taha-Hossein Hejazi, Abbas Seifi

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Research on Application of the Feature Transfer Method Based on Fast R-CNN in Smoke Image Recognition by Xi Cheng

“…This method uses a selective search algorithm to obtain the candidate images of the sample images. The preselected area coordinates and the sample image of visual task are used as network learning. …”
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Improved sub-band JND model with textural decomposition and its application in perceptual image coding by Ming-kui ZHENG, Kai-xiong SU, Wei-xing WANG, Cheng-dong LAN, Xiu-zhi YANG

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Determination of Bolus Dielectric Constant for Optimum Coupling of Microwaves through Skin for Breast Cancer Imaging by Carey Rappaport

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Individualized diagnosis of Parkinson’s disease based on multivariate magnetic resonance imaging radiomics and clinical indexes by Qianqian Ye, Chenhui Lin, Fangyi Xiao, Tao Jiang, Jialong Hou, Yi Zheng, Jiaxue Xu, Jiani Huang, Keke Chen, Jinlai Cai, Jingjing Qian, Weiwei Quan, Yanyan Chen

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CR-DEQ-SAR: A Deep Equilibrium Sparse SAR Imaging Method for Compound Regularization by Guoru Zhou, Yixin Zuo, Zhe Zhang, Bingchen Zhang, Yirong Wu

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Reversible data hiding in encrypted images based on additive homomorphic encryption and multi-MSB embedding by Wenqian XIAO, Gaobo YANG, Dewang WANG, Ming XIA

“…Reversible Data Hiding in Encrypted Images (RDHEI) combines image encryption and reversible data hiding to improve the security and information transmission efficiency for the network transmission of images.In RDHEI, the conventional bit-by-bit encryption destroys the spatial correlation in an original image and has side effects on the preservation of embedding spaces.An approach for RHDEI was proposed, which utilized additive homomorphic encryption and a multi-MSB (Most Significant Bit) embedding strategy to create room within the encryption process.The original image was divided into non-overlapped blocks, and each block was subjected to the same key for additive homomorphic encryption.This helped transfer the pixel correlation within an original block to the encrypted image block as much as possible.To enhance security, the encrypted image was further subjected to an Arnold transformation on a block-by-block basis.The decision of whether data will be embedded in a block and the embedding capacity were determined by the pixel differences within the block and the predicted values.When a block was selected for embedding, a small number of LSBs (Least Significant Bits) were used to store the prediction differences, ensuring reversibility.The redundant multi-MSBs were embedded with secret information by bit replacement.For the possible errors caused by multi-MSBs prediction, an embedding position selection strategy was designed by vacating MSBs in terms of the values of prediction errors, then more MSBs were reserved for those pixels with less prediction errors.During decryption, the secret information can be accurately extracted from the multiple MSBs of the pixels in a block, and the image content can be losslessly recovered using the number of embedded multi-MSBs, predicted values, and prediction differences.Experimental results on the BOWS-2 image dataset demonstrate that the average embedding capacity is improved to 2.58 bit/pixel, surpassing existing methods.…”
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Magnetic Resonance Imaging Evaluation in Patients with Linear Morphea Treated with Methotrexate and High-Dose Corticosteroid by Mohammad Shahidi-Dadras, Fahimeh Abdollahimajd, Razieh Jahangard, Ali Javinani, Amir Ashraf-Ganjouei, Parviz Toossi

“…The aim of this study was to document magnetic resonance imaging (MRI) changes in patients with linear morphea who were treated with methotrexate (MTX) and high-dose corticosteroid. …”
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Frequency and Significance of Abnormal Pancreatic Imaging in Patients with BRCA1 and BRCA2 Genetic Mutations by Elie Chahla, Antonio Cheesman, Suzanne M. Mahon, Robert W. Garrett, Ben P. Bradenham, Theresa L. Schwartz, Louay Omran, Jason R. Taylor, Samer Alkaade

“…Only 20/66 (30%) had abdominal imaging (14 BRCA1 and 6 BRCA2 patients). Of those patients with abdominal imaging, abnormal pancreatic imaging findings were detected in 7/20 (35%) cases. …”
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Plant height measurement using UAV-based aerial RGB and LiDAR images in soybean by Lalit Pun Magar, Jeremy Sandifer, Deepak Khatri, Sudip Poudel, Suraj KC, Buddhi Gyawali, Maheteme Gebremedhin, Anuj Chiluwal

“…Studies have demonstrated the effectiveness of both RGB and LiDAR images in estimating plant height in several crops. …”
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A Novel Histogram Region Merging Based Multithreshold Segmentation Algorithm for MR Brain Images by Siyan Liu, Xuanjing Shen, Yuncong Feng, Haipeng Chen

“…International Journal of Biomedical Imaging…”
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Molecular Imaging of Hypoxia-Inducible Factor 1α and von Hippel-Lindau Interaction in Mice by Clara Y.H. Choi, Denise A. Chan, Ramasamy Paulmurugan, Patrick D. Sutphin, Quynh-Thu Le, Albert C. Koong, Wayne Zundel, Sanjiv S. Gambhir, Amato J. Giaccia

“…Molecular Imaging…”
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A Comparative Study of Convolutional Neural Network and Transformer Architectures for Drone Detection in Thermal Images by Gian Gutierrez, Juan P. Llerena, Luis Usero, Miguel A. Patricio

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Scoring rubric design to measure the ability to prove plane geometry problems not accompanied by image visualization by I Putu Wisna Ariawan, I Made Ardana, Dewa Gede Hendra Divayana, I Made Sugiarta

Subjects: “…image visualization…”
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Using Hyperspectral Imaging and Principal Component Analysis to Detect and Monitor Water Stress in Ornamental Plants by Van Patiluna, James Owen, Joe Mari Maja, Jyoti Neupane, Jan Behmann, David Bohnenkamp, Irene Borra-Serrano, José M. Peña, James Robbins, Ana de Castro

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Prevention of Cardiomyopathy in Transfusion-Dependent Homozygous Thalassaemia Today and the Role of Cardiac Magnetic Resonance Imaging by Athanassios Aessopos, Vasilios Berdoukas, Maria Tsironi

“…Recently the ability to determine the degree of cardiac iron overload, through cardiac magnetic resonance imaging (CMR) has allowed more logical approaches to iron removal, particularly from the heart. …”
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