Camera Pose Generation Based on Unity3D by Hao Luo, Wenjie Luo, Wenzhu Yang

“…Compared with the image sequences from the original datasets, those generated in this study achieve improvements in the object detection and SLAM tasks, with increases of up to approximately 30% in mAP for the YOLOv10 object detection task and up to approximately 10% in SR for the ORB-SLAM algorithm.…”
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Automated characterization of abdominal MRI exams using deep learning by Joonghyun Kim, Allison Chae, Jeffrey Duda, Arijitt Borthakur, Daniel J. Rader, James C. Gee, Charles E. Kahn, Penn Medicine BioBank, Walter R. Witschey, Hersh Sagreiya

“…In this study, we developed convolutional neural networks (CNNs) to automatically classify three core attributes of abdominal MRI: pulse sequence type, imaging orientation, and contrast enhancement status. …”
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Analysis of Flame Evolution Generated from Methyl Laurate Droplet Using Deep Learning by Fikrul Akbar Alamsyah, Chi-Cheng Cheng

“…YOLOv9, a state-of-the-art object detection model, is employed to automatically segment and track key flame features such as flame shape, size, and intensity. …”
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Adaptive Multi-Model Fault Diagnosis of Dynamic Systems for Motion Tracking by Annalena Daniels, Tommaso Benciolini, Dirk Wollherr, Marion Leibold

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Intention-aware exercise recommendation enhanced by deep forgetting modeling for e-learning by Zezheng Wu, Jingwei Zhang, Minghao Liu, Xiaoyang Huang, Qing Yang

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Segmentation of Low-Grade Brain Tumors Using Mutual Attention Multimodal MRI by Hiroyuki Seshimo, Essam A. Rashed

“…This study focuses on enabling multimodal MRI sequences to advance the automatic segmentation of low-grade astrocytomas, a challenging task due to their diffuse and irregular growth patterns. …”
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Deep learning-based classification of coronary arteries and left ventricle using multimodal data for autonomous protocol selection or adjustment in angiography by Arpitha Ravi, Philipp Bernhardt, Mathis Hoffmann, Florian Kordon, Siming Bayer, Stephan Achenbach, Andreas Maier

“…The dataset for training and validation included 275 radiographic sequences from clinical examinations, incorporating coronary angiography, left ventriculography, and corresponding C-arm angulation, using only the first non-contrast frame of the sequence for the possibility of adapting the system before the actual contrast injection. …”
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A setup for live AI support in interventional radiology by Komposch Jan, Malzacher Till, Baumgärtner Timo, Braun Michael, Roßkopf Johannes, Franz Alfred M., Schmitz Bernd

“…In a previous study we demonstrated the feasibility of deep learning based automatic classification for thrombus detection during thrombectomies, a catheter-guided procedure to remove occlusions of cerebral vessels. …”
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IPN HandS: Efficient Annotation Tool and Dataset for Skeleton-Based Hand Gesture Recognition by Gibran Benitez-Garcia, Jesus Olivares-Mercado, Gabriel Sanchez-Perez, Hiroki Takahashi

“…To generate these annotations efficiently, we propose a novel annotation tool that combines automatic detection, inter-frame interpolation, copy–paste capabilities, and manual refinement. …”
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An Automated Semantic Segmentation Methodology for Infrared Thermography Analysis of the Human Hand by Melchior Arnal, Cyprien Bourrilhon, Vincent Beauchamps, Fabien Sauvet, Hassan Zahouani, Coralie Thieulin

“…This process is time-consuming and presents a particular obstacle to studying a large number of areas of the hand and long duration sequences. In this work, we propose an automated segmentation methodology that can automatically detect these regions on the hand. …”
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Niemann-Pick Disease, Type A: Clinical Case of 5 Months Old Patient by Nataliya V. Zhurkova, Nato V. Vashakmadze, Andrey N. Surkov, Tatiana V. Turti, Kristina V. Bogdanova, Yuliya Yu. Kotalevskaya, Ekaterina Yu. Zakharova, Leyla S. Namazova-Baranova

“…The heterozygous deletion c.996del in exon 2 of the SMPD1 gene has been revealed via direct automatic sequencing; it leads to frameshifting p.F333Sfs*52 (inherited from mother). …”
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MRI-based measurement of inner ear fluids reveals increased endolymph volume variability in patients with endolymphatic hydrops and hearing instability by Julia Telischi, Dillon Strepay, Bing Li, Jennifer Chisholm, Hui Cheng, Carmen Brewer, Li-Yueh Hsu, John Butman, Michael Hoa

“…Longitudinal assessment of HI patient imaging therefore allows detection of quantifiable fluctuations in EH that correlate with hearing changes. …”
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Towards full integration of explainable artificial intelligence in colon capsule endoscopy’s pathway by Esmaeil S. Nadimi, Jan-Matthias Braun, Benedicte Schelde-Olesen, Smith Khare, Vinay C. Gogineni, Victoria Blanes-Vidal, Gunnar Baatrup

“…We developed a family of algorithms based on explainable deep neural networks (DNN) that detect polyps within a sequence of images, feed only those images containing polyps into two parallel independent networks to characterize, and estimate the size of important findings. …”
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Scheie Syndrome Diagnosis in Early Childhood: Case Study by Nataliya V. Buchinskaya, Anastasia O. Vechkasova, Ekaterina D. Ganina, Ekaterina Е. Shipovskova, Victoriya A. Lapina, Yana A. Ananyeva, Nataliya V. Zhurkova, Nato D. Vashakmadze, Vladimir M. Kenis, Mikhail M. Kostik

“…The analysis of exon 2 in the IDUA gene was performed via direct automatic sequencing. Previously described pathogenic variant c.208C>T (p.Gln70Term) inherited from child’s father and previously described variant c.250G>A (p.Gly84Ser) inherited from the mother were revealed in compound-heterozygous state. …”
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DNA familial binding profiles made easy: comparison of various motif alignment and clustering strategies. by Shaun Mahony, Philip E Auron, Panayiotis V Benos

“…Transcription factor (TF) proteins recognize a small number of DNA sequences with high specificity and control the expression of neighbouring genes. …”
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THE URGENCY OF GENETIC VERIFICATION OF NON-COMPACTION CARDIOMYOPATHY IN CHILDREN: CLINICAL CASES by Nataliya A. Sdvigova, Elena N. Basargina, Dmitry V. Ryabtsev, Kirill V. Savostyanov, Alexander A. Pushkov, Natalia V. Zhurkova, Grigory V. Revunenkov, Olga P. Zharova

“…In order to clarify the disease etiology, a molecular genetic study was conducted using the method of direct automatic sequencing with the analysis of targeted regions of 404 genes which mutations are described in hereditary diseases of the heart and blood vessels. …”
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An MLLM-Assisted Web Crawler Approach for Web Application Fuzzing by Wantong Yang, Enze Wang, Zhiwen Gui, Yuan Zhou, Baosheng Wang, Wei Xie

“…While web crawlers can automatically access and extract critical website information—including form fields and request parameters—which are essential for generating effective fuzzing test cases, current crawler technologies exhibit three primary limitations: (i) insufficient capabilities in analyzing page relationships and determining page states; (ii) lack of functionality-aware exploration capabilities, resulting in generated inputs with poor contextual relevance; (iii) generation of unstructured operation sequences that fail to execute effectively due to their incompatibility with state-based testing logic. …”
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Leber’s Hereditary Optic Neuropathy with Neurological Abnormalities. Case Report by N. A. Andreeva, N. L. Sheremet

“…Using MLPA (Multiplex Ligation-dependent Probe Amplification) and direct automatic sequencing, the patient was tested for frequent LHON mutations. …”
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Contextual auditory processing in the inferior colliculus is affected in a sex- and age-dependent manner in the valproic acid-induced rat model of autism. by Sara Cacciato-Salcedo, Ana B Lao-Rodríguez, Manuel S Malmierca

“…We performed single-unit recordings in the inferior colliculus of control and prenatally, or in utero, exposed rats under the classical oddball paradigm and non-repetitive cascade control sequences to study neuronal mismatch. This is the neuronal correlate of mismatch negativity, the brain's automatic response to interruptions in environmental regularity. …”
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A novel deep learning approach to identify embryo morphokinetics in multiple time lapse systems by Guillaume Canat, Antonin Duval, Nina Gidel-Dissler, Alexandra Boussommier-Calleja

“…Using a dataset of N = 1909 embryos collected from multiple clinics equipped with EMBRYOSCOPE/EMBRYOSCOPE+ (Vitrolife), GERI (Genea Biomedx) or MIRI (Esco Medical), this study proposes a novel deep-learning architecture to automatically detect 11 kinetic events (from 1-cell to blastocyst). …”
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