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Item Metadata only Case-Based Guide for Image Interpretation and Reporting(2023-01-01) Mosci K.; Thientunyakit T.; Cross D.J.; Bischof G.N.; Arbizu J.; Minoshima S.; Mosci K.; Mahidol UniversityThe brain is the most complex and intriguing part of the human body. Acceleration of neuroscience research and development over the last few decades has given us exciting new technologies to better understand brain function. Imaging modalities have... become fundamental tools for the diagnosis and evaluation of brain pathologies, with molecular imaging offering the possibility to image and quantify brain function “in vivo.” However, functional imaging interpretation can be challenging and requiresItem Metadata only Imaging in plasma cell disorders—consensus recommendations of the Asian myeloma network bone imaging workgroup(2025-06-01) Nagarajan C.; Anthony N.F.; Hillengass J.; Kim S.J.; Kunacheewa C.; Datukan J.T.; Gan G.G.; Binh V.T.T.; Chim J.; Huang J.S.Y.; Chen W.; Kim K.; Rajkumar S.V.; Durie B.G.M.; Chng W.J.; Abe M.; Nagarajan C.; Mahidol UniversityThe role of imaging in accurate classification and management of plasma cell disorders is substantial with the increasing evidence in the ability of cross-sectional imaging to identify disease related manifestations. International myeloma working... group and nation-wide guidelines provide recommendations for guiding practice. However, there are remarkable variations in practice globally and in particular, adoption of incorrect imaging techniques due to lack of awareness/education, lack of equipmentItem Metadata only ResTran: Long Distance Relationship on Image Forgery Detection(2023-01-01) Rao J.; Teerakanok S.; Uehara T.; Mahidol UniversityImage tampering detection is becoming more and more important in image forensics, especially in today's society where advanced image editing tools are becoming more and more popular. At the same time, with the rapid growth of digital image... technology and multimedia data, it is very important to ensure the authenticity and integrity of visual information. Therefore, to address this issue, we propose a novel image tampering detection method using a deep convolutional network (ResNet) combinedItem Metadata only Deep-learning prediction of amyloid deposition from early-phase amyloid positron emission tomography imaging(2022-10-01) Komori S.; Cross D.J.; Mills M.; Ouchi Y.; Nishizawa S.; Okada H.; Norikane T.; Thientunyakit T.; Anzai Y.; Minoshima S.; Mahidol UniversityObjective: While the use of biomarkers for the detection of early and preclinical Alzheimer's Disease has become essential, the need to wait for over an hour after injection to obtain sufficient image quality can be challenging for patients... with suspected dementia and their caregivers. This study aimed to develop an image-based deep-learning technique to generate delayed uptake patterns of amyloid positron emission tomography (PET) images using only early-phase images obtained from 0–20 min afterItem Metadata only Investigating Atrous Rate Reduction in DeepLabV3+ for Improved Image Tampering Localization: A New Module and Dataset Approach(2025-01-01) Rao J.; Teerakanok S.; Uehara T.; Rao J.; Mahidol UniversityWith the popularity of digital images in communications and media, image tampering detection has be-come an important research topic in the field of computer vision. This study uses the DeepLabV3+ model to explore the impact of dilated convolution... rate changes and attention mechanisms on the accuracy of image tampering location and particularly emphasizes the application of independently created mobile image tampering datasets in experiments. First, we verified the effectiveness of DeepLabV3Item Metadata only Contemporary multimodality non-invasive cardiac imaging protocols for tetralogy of Fallot(2024-01-01) Goo H.W.; Chen S.J.; Siripornpitak S.; Abdul Latiff H.; Borhanuddin B.K.; Leong M.C.; Zhong Y.M.; Kim Y.J.; Goo H.W.; Mahidol UniversityTetralogy of Fallot is the most prevalent cyanotic congenital heart disease, requiring lifelong multimodality non-invasive cardiac imaging, such as echocardiography, cardiothoracic computed tomography, and cardiac magnetic resonance imaging.... As imaging techniques continuously evolve and are gradually integrated into clinical practice, there is a critical need to update multimodality imaging protocols. Over the last two decades, cardiothoracic computed tomography imaging techniques have advancedItem Metadata only Imaging and pulmonary function techniques in ARDS diagnosis and management: current insights and challenges(2025-12-01) Battaglini D.; Schultz M.J.; Puentes G.A.C.; Marini J.J.; Rocco P.R.M.; Battaglini D.; Mahidol Universityimaging techniques, such as chest computed tomography, lung ultrasound, and electrical impedance tomography, with functional parameters (like respiratory system compliance, driving pressure, transpulmonary pressure, and mechanical power) has emerged as a... promising approach to enhance diagnostic precision. These imaging modalities provide valuable insights into the patient’s underlying respiratory mechanics and enable better assessment of disease severity. However, the clinical application of these techniquesItem Metadata only Transfontanelle Thermoacoustic Imaging of Intraventricular Brain Hemorrhages in Live Sheep(2025-01-01) Islam M.T.; Benavides J.; Prakash R.; Zafar M.; McGuire L.S.; Charbel F.; Siegel A.P.; Erricolo D.; Lin J.; Gelovani J.G.; Avanaki K.; Islam M.T.; Mahidol UniversityPreterm neonates are vulnerable to periventricular-intraventricular hemorrhage since the periventricular germinal matrix blood vessels are still immature and fragile until around 36 weeks. While cranial ultrasound imaging (cUS) is the standard... technique for diagnosing brain injury in neonates, it has limited accuracy in detecting early-stage hemorrhages due to poor sensitivity and specificity. Transfontanelle thermoacoustic imaging (TTAI) combines the advantages of high contrast fromPublication Metadata only Perineural spread of adenoid cystic carcinoma in the oral and maxillofacial regions: Evaluation with contrast-enhanced CT and MRI(2012-02-01) H. Shimamoto; J. Chindasombatjaroen; N. Kakimoto; M. Kishino; S. Murakami; S. Furukawa; Osaka University; Mahidol University. Methods: This study consisted of 13 ACCs from 13 patients, all of which were histopathologically diagnosed. Both CECT and CEMRI were performed in all patients before the treatment. The images of each patient were retrospectively evaluated for the detection... enhancement of a nerve. Results: 11 out of 13 cases were proven to exhibit PNS histopathologically. 8 of the 11 cases for which PNS was histopathologically proven exhibited PNS on MR images. Six of the eight cases for which PNS was exhibited on MR images alsoPublication Metadata only Image analysis and machine learning for detecting malaria(2018-04-01) Mahdieh Poostchi; Kamolrat Silamut; Richard J. Maude; Stefan Jaeger; George Thoma; Harvard School of Public Health; Mahidol University; Nuffield Department of Clinical Medicine; National Library of Medicineattempts at fighting the disease. One of the barriers toward a successful mortality reduction has been inadequate malaria diagnosis in particular. To improve diagnosis, image analysis software and machine learning methods have been used to quantify... parasitemia in microscopic blood slides. This article gives an overview of these techniques and discusses the current developments in image analysis and machine learning for microscopic malaria diagnosis. We organize the different approaches published