Computational predictions of magnetic resonance acoustic radiation force imaging for breast cancer focused ultrasound therapy by Chloe K. Nelson, Michelle Kline, Allison Payne, Christopher R. Dillon

“…Those simulations are compared to clinical magnetic resonance acoustic radiation force imaging (MR-ARFI) data collected during in vivo treatment of breast tumors.Methods The focal location was evaluated before MRgFUS treatment with MR-ARFI in five patients. …”
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Spectral enhancement of PlanetScope using Sentinel-2 images to estimate soybean yield and seed composition by Supria Sarkar, Vasit Sagan, Sourav Bhadra, Felix B. Fritschi

“…The MKSF was trained using PS and S2 image pairs from different growth stages and predicted the potential VNIR1 (705 nm), VNIR2 (740 nm), VNIR3 (783 nm), SWIR1 (1610 nm), and SWIR2 (2190 nm) bands from the PS images. …”
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Artificial intelligence applied in identifying left ventricular walls in myocardial perfusion scintigraphy images: Pilot study. by Solange Amorim Nogueira, Fernanda Ambrogi B Luz, Thiago Fellipe O Camargo, Julio Cesar S Oliveira, Guilherme Carvalho Campos Neto, Felipe Brazao F Carvalhaes, Marcio Rodrigues C Reis, Paulo Victor Santos, Giovanna Souza Mendes, Rafael Maffei Loureiro, Daniel Tornieri, Viviane M Gomes Pacheco, Antonio Paulo Coimbra, Wesley Pacheco Calixto

“…The internal and external validation of the model corroborates its future applicability in real clinical scenarios, offering a new perspective in the analysis of myocardial perfusion scintigraphy images. The integration of artificial intelligence into the process of analyzing myocardial perfusion scintigraphy images represents a significant advancement in diagnostic accuracy, promoting substantial improvements in the interpretation of medical images, and establishing a foundation for future research and clinical applications, such as artifact correction.…”
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Thèses ou HDR dans le domaine de l’image dans l’Espagne contemporaine by Nancy Berthier

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Diffuse Gallium-67 Accumulation in the Left Atrial Wall Detected Using SPECT/CT Fusion Images by Kohei Kotani, Joji Kawabe, Shigeaki Higashiyama, Atsushi Yoshida, Susumu Shiomi

“…Gallium-67 SPECT/CT images helped understanding the disease condition that temporary inflammation in the left atrium caused atrial fibrillation.…”
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Progressive Self-Prompting Segment Anything Model for Salient Object Detection in Optical Remote Sensing Images by Xiaoning Zhang, Yi Yu, Daqun Li, Yuqing Wang

Subjects: “…optical remote sensing images…”
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Dynamics of breast imaging research: A global scoping review and Sino-Australian comparison case study. by Seyedamir Tavakoli Taba, Patrick C Brennan, Sarah Lewis

“…Breast imaging research in China is considerably more insular, with less international collaboration and reduced variation between collaborators than Australia. …”
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Snapshot Imaging of Stokes Vector Polarization Speckle in Turbid Optical Phantoms and <i>In Vivo</i> Tissues by Daniel C. Louie, Carla Kulcsar, Héctor A. Contreras-Sánchez, W. Jeffrey Zabel, Tim K. Lee, Alex Vitkin

“…Measurements on <i>in vivo</i> murine skin and xenograft tumor tissue demonstrate the ability of the system to acquire snapshot polarization speckle images in living systems. The developed system can thus rapidly and accurately acquire polarization speckle images from different media in dynamic conditions such as <i>in vivo</i> tissue. …”
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Usefulness of Magnifying Endoscopy with Narrow-Band Imaging for Determining Tumor Invasion Depth in Early Gastric Cancer by Daisuke Kikuchi, Toshiro Iizuka, Shu Hoteya, Akihiro Yamada, Tsukasa Furuhata, Satoshi Yamashita, Kaoru Domon, Masanori Nakamura, Akira Matsui, Toshifumi Mitani, Osamu Ogawa, Sumio Watanabe, Mitsuru Kaise

“…Magnifying endoscopy with narrow-band imaging (ME-NBI) has become essential for determining tumor margin in early gastric cancer (EGC). …”
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Ultra-Wideband Indoor Channel Modelling Using Ray-Tracing Software for through-the-Wall Imaging Radar by Christophe Lièbe, Pierre Combeau, Alain Gaugue, Yannis Pousset, Lilian Aveneau, Rodolphe Vauzelle, Jean-Marc Ogier

“…Simulated images will be helpful for understanding the experiment obtained images.…”
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Automated AI-based image analysis for quantification and prediction of interstitial lung disease in systemic sclerosis patients by Julien Guiot, Monique Henket, Fanny Gester, Béatrice André, Benoit Ernst, Anne-Noelle Frix, Dirk Smeets, Simon Van Eyndhoven, Katerina Antoniou, Lennart Conemans, Janine Gote-Schniering, Hans Slabbynck, Michael Kreuter, Jacobo Sellares, Ioannis Tomos, Guang Yang, Clio Ribbens, Renaud Louis, Vincent Cottin, Sara Tomassetti, Vanessa Smith, Simon L. F. Walsh

“…Conclusion AI-based automatic quantification of lesions from chest-CT images in SSc-ILD is correlated with physiological parameters and can help in disease evaluation. …”
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Audio-visual event localization with dual temporal-aware scene understanding and image-text knowledge bridging by Pufen Zhang, Jiaxiang Wang, Meng Wan, Song Zhang, Jie Jing, Lianhong Ding, Peng Shi

“…Nevertheless, since audio-visual knowledge of the AVEL task and image-text alignment knowledge of the CLIP exist heterogeneous gap, how to transfer the image-text alignment knowledge of CLIP into AVEL field has barely been investigated. …”
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An Uncommon Case of Bilateral Breast Enlargement Diagnosed as Tumoral Pseudoangiomatous Stromal Hyperplasia: Imaging and Pathological Findings by Isabel Sollozo-Dupont, Héctor Alejandro Domínguez-Hernández, Cecilia Pavón-Hernández, Yolanda Villaseñor-Navarro, Robin Shaw-Dulin, Victor Manuel Pérez-Sánchez, Alejandro Javier España-Ferrufino, Laura Marysol Álvarez-Guadarrama, Fany Iris Porras-Reyes, M. Patricia Pérez-Badillo

“…Here, we present a 25-year-old woman with PASH accompanied by severe bilateral and symmetrical breasts enlargement, highlighting an uncommon clinical presentation of PASH as much as the careful interdisciplinary review and correlation of histology and all available imaging studies to confirm the definitive diagnosis.…”
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A Color-Image Encryption Scheme Using a 2D Chaotic System and DNA Coding by Haidar Raad Shakir

“…The initial values of the TD-ERCS system are generated from a user’s password, and the TD-ERCS system is used to scramble the pixel locations of the R, G, and B matrices of the original image. Next, three DNA-sequence matrices are generated by encoding the permuted color image such that it can be transformed into three matrices. …”
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Boundary Extraction Based on Dual Stream Deep Learning Model in High Resolution Remote Sensing Images by Umut Aydar, Emin Özgür Avşar, Özgün Akçay, A. Cumhur Kınacı

“…The outcomes clearly revealed the importance of using multispectral band, height data and vegetation information as input data in boundary extraction beside commonly used RGB images.…”
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Environmental Fault Diagnosis of Solar Panels Using Solar Thermal Images in Multiple Convolutional Neural Networks by Tamilselvi Selvaraj, Ramasubbu Rengaraj, GiriRajanbabu Venkatakrishnan, SoundhariyaGanesan Soundararajan, Karuppiah Natarajan, PraveenKumar Balachandran, PrinceWinston David, Shitharth Selvarajan

“…Based on the performance metrics, SqueezeNet is used for training thermal images of solar panels and for the classification of environmental faults. …”
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Enhancing paddy leaf disease diagnosis -a hybrid CNN model using simulated thermal imaging by Jagamohan Padhi, Kunal Mishra, Ashoka Kumar Ratha, Santi Kumari Behera, Prabira Kumar Sethy, Aziz Nanthaamornphong

“…A dataset of 5,932 self-generated rice leaf images was augmented with simulated thermal images to capture subtle temperature variations indicative of early stress responses prior to visible symptoms. …”
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Enhancing Photovoltaic Module Fault Diagnosis with Unmanned Aerial Vehicles and Deep Learning-Based Image Analysis by J. Jerome Vasanth, S. Naveen Venkatesh, V. Sugumaran, Vetri Selvi Mahamuni

“…Diagnosing machinery faults from images can be made feasible with the adoption of deep learning and machine learning techniques. …”
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Computational analysis of reproducibility and image quality of 2011 and 2017 models of Heidelberg Spectralis SD-OCT machines by Kyoung A Viola Lee, Corey Tesdahl, Keith Zimmerman, Kimberly Jun, Sabrina Khalil, Alexander Shahin, Abdullah Abou-Samra, Ramesh Ayyala, Radouil Tzekov

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The Effects of Single and Bimetallic Silicon Composite Shields in Medical Imaging Methods: A Monte Carlo Study by Abbas Ali Nazeri, Reza Malekzadeh, Parinaz Mehnati, Soheila Refahi

“…To select bimetallic compounds with a high attenuation coefficient, it is better to match the energy used in the imaging method specifically. For example, in the 70-90 KeV energy range, the Sn-W combination had the highest beam attenuation coefficient. …”
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