State-of-the-Art in Responsible, Explainable, and Fair AI for Medical Image Analysis by Soheyla Amirian, Fengyi Gao, Nickolas Littlefield, Jonathan H. Hill, Adolph J. Yates, Johannes F. Plate, Liron Pantanowitz, Hooman H. Rashidi, Ahmad P. Tafti

“…Integrating responsible, explainable, and fair artificial intelligence (REF-AI) into medical image analysis has gained significant attention in recent years. …”
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Predictive factors for response to viscosupplementation in patients with knee osteoarthritis: an analysis of clinical and imaging factors by Gustavo Rossanese Pinto, Guilherme Conforto Gracitelli, Fernando Cury Rezende, Claudio Gattas, Thais Cristina Pereira Vasques, Flavio Duarte Silva, Carlos Eduardo da Silveira Franciozi, Marcus Vinicius Malheiros Luzo

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Neural responses to perceptual and sexual ambiguity in facial images: an ERP and time–frequency analysis by Takanori Sano, Hideaki Kawabata

“…Abstract This study investigated the neural effects of perceptual (caused by blur processing) and sexual ambiguity (induced by morphing manipulation) in facial images via event-related potentials and time–frequency analysis. …”
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Preliminary analysis of early and late radiation responses in 3D image-guided brachytherapy for cervical cancer by Olga B. Andreyeva, Tasbolat A. Adylkhanov, Dilyara R. Kaidarova, Isa G. Isayev, Tolegen S. Kurmangaliyev, Zaituna A. Khismetova, Natalya E. Glushkova

“…Objective – To conduct a preliminary analysis of the incidence of early and late radiation responses in 3D-IGBT of locally advanced cervical cancer (LACC). …”
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Image and Responsiveness: Melih Cevdet Anday’s Poetry by Melih Levi

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Analysis of imaging signatures in 18F-DOPA PET of glioblastoma treated with dose-escalated radiotherapy by Jing Qian, Deanna H. Pafundi, William G. Breen, Paul D. Brown, Christopher H. Hunt, Mark S. Jacobson, Derek R. Johnson, Timothy J. Kaufmann, Bradley J. Kemp, Sani H. Kizilbash, Val J. Lowe, Michael W. Ruff, Jann N. Sarkaria, Joon H. Uhm, Joon H. Uhm, Mark J. Zakhary, Maasa H. Seaberg, Hok Seum Wan Chan Tseung, Elizabeth S. Yan, Yan Zhang, Nadia N. Laack, Debra H. Brinkmann

“…Patients underwent pre-radiation and post-radiation 18F-DOPA PET scans on a prospective clinical trial. This analysis investigates quantitative image features correlated with prognosis and treatment response to identify patients who benefit the most from dose-escalated therapy.MethodsQuantitative image features from 18F-DOPA PET scans of 58 glioblastoma patients were extracted from the high uptake region (TBR>2.0) in both pre-RT and early post-RT follow-up PET images, which were then refined using Pearson pair correlation. …”
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Advanced Image Analysis to Select Patients for Prostate Specific Membrane Antigen Radioligand Therapy and Assess Treatment Response by John M. Floberg, MD, PhD, Christos E. Kyriakopoulos, MD, Steve Y. Cho, MD

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Modeling of Texture and Starch Retrogradation of High-in-Fiber Bread Using Response Surface Methodology by Jarosław Wyrwisz, Małgorzata Moczkowska-Wyrwisz, Marcin A. Kurek

“…This study aimed to develop models for texture attributes and starch retrogradation (based on initial enthalpy) as a function of porosity measured in non-complicated experimental processes—using Digital Imaging Analysis (DIA) of bread with various levels of dietary fiber (DF) content. …”
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Benchmarking histopathology foundation models for ovarian cancer bevacizumab treatment response prediction from whole slide images by Mayur Mallya, Ali Khajegili Mirabadi, David Farnell, Hossein Farahani, Ali Bashashati

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Identifying phenotypic markers explaining positive sorghum response to sowing density using 3D-imaging by Wenli Xue, Ewaut Kissel, András Tóth, Raphael Pilloni, Vincent Vadez

“…In the present study, a 3D-imaging based approach identified the phenotypic traits responsible for the genetic variation in sorghum's response to high sowing density. …”
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Deep Learning Approaches for Automated Prediction of Treatment Response in Non-Small-Cell Lung Cancer Patients Based on CT and PET Imaging by Randy Guzmán Gómez, Guadalupe Lopez Lopez, Victor M. Alvarado, Froylan Lopez Lopez, Eréndira Esqueda Cisneros, Hazel López Moreno

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Circulating Tumor DNA Combining with Imaging Analysis for Lesion Detection of Langerhans Cell Histiocytosis in Children by Siying Liu, Yongbing Zhu, Yu Chen, Yaqin Wang, Dedong Zhang, Jiasi Zhang, Yao Wang, Ai Zhang, Qun Hu, Aiguo Liu

“…Methods: First, data visualization and survival analysis models were used to generalize the concordance between cfBRAF^V600E molecular response and radiographic response on clinical outcomes. …”
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A Novel Dynamic Characteristic for Detecting Breathing Cracks in Blades Based on Vibration Response Envelope Analysis by Minghao Pan, Yongmin Yang, Fengjiao Guan, Haifeng Hu, Zifang Bian, Wenkang Huang, Bohao Xiao, Ang Li

“…In this paper, a dynamic characteristic called the envelope diagram image of vibration responses (EDIVR) was extracted from blade tip displacement signals collected during acceleration–deceleration cycles for crack diagnosis. …”
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Radiomics of magnetic resonance imaging for assessment of pathological complete response to neoadjuvant therapy and long-term survival in breast cancer by N. V. Petrova, G. G. Karmazanovsky, E. V. Kondratyev, A. Yu. Popov, M. V. Rostovtsev, N. Yu. Germanovich, D. V. Kalinin

“…One such method is magnetic resonance imaging (MRI). Assessment of the obtained images using texture analysis allows to increase the accuracy of the method both in the control of neoadjuvant treatment and in the assessment of the response to neoadjuvant therapy during preoperative planning.This article provides an analysis of the literature data on the potential to improve the prognostic value of breast MRI in assessing the complete pathomorphological response to neoadjuvant drug treatment of breast cancer using texture analysis of data.…”
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Photoacoustic imaging for monitoring radiotherapy treatment response in head and neck tumors by Niklas Holzwarth, Zoe Rachel, Jan-Hinrich Nölke, Melanie Schellenberg, Lukas Bauer, Nicholas Schreck, Christoph J. Bender, Kris K. Dreher, Sebastian Regnery, Katharina Weusthof, Manuel Wiesenfarth, Annette Kopp-Schneider, Jürgen Debus, Alexander Seitel, Sebastian Adeberg, Lena Maier-Hein, Thomas Held

“…This work aims to address this critical bottleneck by pioneering the use of photoacoustic imaging (PAI) to measure treatment response in HN cancer patients undergoing RT. …”
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CT texture analysis in patients with locally advanced rectal cancer treated with neoadjuvant chemoradiotherapy: A potential imaging biomarker for treatment response and prognosis. by Choong Guen Chee, Young Hoon Kim, Kyoung Ho Lee, Yoon Jin Lee, Ji Hoon Park, Hye Seung Lee, Soyeon Ahn, Bohyoung Kim

“…Dworak pathologic grading was used for treatment response assessment. Independent t-test was used to compare each texture feature between the treatment responder and non-responder groups. …”
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Integrating a Hive Triangle Pattern with Subpixel Analysis for Noncontact Measurement of Structural Dynamic Response by Using a Novel Image Processing Scheme by Yung-Chi Lu, Shih-Lin Hung, Tzu-Hsuan Lin

“…This work presents a digital image processing approach with a unique hive triangle pattern by integrating subpixel analysis for noncontact measurement of structural dynamic response data. …”
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Diagnostic accuracy of magnetic resonance imaging techniques for treatment response evaluation in patients with head and neck tumors, a systematic review and meta-analysis. by Anouk van der Hoorn, Peter Jan van Laar, Gea A Holtman, Henriette E Westerlaan

“…<h4>Background</h4>Novel advanced MRI techniques are investigated in patients treated for head and neck tumors as conventional anatomical MRI is unreliable to differentiate tumor from treatment related imaging changes.<h4>Purpose</h4>As the diagnostic accuracy of MRI techniques to detect tumor residual or recurrence during or after treatment is variable reported in the literature, we performed a systematic meta-analysis.…”
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Multi-Dimensional Lithology Identification Method Based on Microresistivity Image Logging by LIU Juan, MIN Xuanlin, QI Zhongli, YI Jun, LAI Fuqiang, ZHOU Wei

Subjects: “…electrical imaging…”
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Continuous imaging to evaluate growth and drug responses of patient-derived colorectal tumouroids by B.C. Sakshaug, E. Folkesson, T.H. Haukaas, M.S. Sigfúsdóttir, H.H. Trøen, S.B. Sperstad, H.C.H. Bwanika, C. Ringers, I.A. Bergstrøm, G. Klinkenberg, T. Visnes, Å. Flobak

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