FeatureForest: the power of foundation models, the usability of random forests by Mehdi Seifi, Damian Dalle Nogare, Juan Manuel Battagliotti, Vera Galinova, Ananya Kedige Rao, Pierre-Henri Jouneau, Anwai Archit, AI4Life Horizon Europe Programme Consortium, Constantin Pape, Johan Decelle, Florian Jug, Joran Deschamps

“…Abstract Analysis of biological images relies heavily on segmenting the biological objects of interest in the image before performing quantitative analysis. …”
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SAM for Road Object Segmentation: Promising but Challenging by Alaa Atallah Almazroey, Salma kammoun Jarraya, Reem Alnanih

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Transient hepatic intensity differences: correlations with treatment outcomes and adverse events following DEB-TACE in hepatocellular carcinoma by Noble Chibuike Opara, Shuwei Zhou, Weilang Wang, Shuhang Zhang, Xunjun Chen, Shenghong Ju, Yuan-Cheng Wang

“…Kaplan–Meier method evaluated overall survival (OS) and progression-free survival (PFS), with log-rank tests comparing THID complexity (simple vs complex) and severity (mild, moderate, and severe). …”
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Aging amplifies sex differences in low alpha and low beta EEG oscillations by Chuanliang Han, Vincent C.K. Cheung, Rosa H.M. Chan

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Machine Learning for Human Activity Recognition: State-of-the-Art Techniques and Emerging Trends by Md Amran Hossen, Pg Emeroylariffion Abas

“…Despite significant progress, HAR still faces critical challenges, including handling environmental variability, ensuring model interpretability, and achieving high recognition accuracy in complex, real-world scenarios. Future research directions emphasise the need for improved multimodal sensor fusion, adaptive and personalised models, and the integration of edge computing for real-time analysis. …”
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Prediction of Attention Groups and Big Five Personality Traits from Gaze Features Collected from an Outlier Search Game by Rachid Rhyad Saboundji, Kinga Bettina Faragó, Violetta Firyaridi

“…A visual search task was developed that required participants to find anomalous images embedded in normal background images in 3D space. …”
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Data integration with Fusion Searchlight: Classifying brain states from resting-state fMRI by Simon Wein, Marco Riebel, Lisa-Marie Brunner, Caroline Nothdurfter, Rainer Rupprecht, Jens V. Schwarzbach

“…Furthermore, we leverage explainable AI to delineate the differential contributions of each metric, which additionally improves spatial specificity of the searchlight analysis. Moreover, this framework can be adapted to combine information across imaging modalities or experimental conditions, providing a versatile and interpretable tool for data fusion in neuroimaging.…”
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Neurovascular coupling of inhibitory control in late-onset depression: a simultaneous EEG-fMRI study by Elena Bondi, Alessandro Pigoni, Adele Ferro, Maria Pia Marra, Guido Nosari, Giandomenico Schiena, Fabio M. Triulzi, Anna M. Bianchi, Paolo Brambilla, Eleonora Maggioni

“…Moreover, EEG-driven fMRI analysis showed alterations in the MDD group in the superior temporal gyrus and cerebellar areas for N2 correlates, whereas in the supramarginal, left rolandic, and Heschl’s areas for P3 correlates.The study showed the potentiality of the EEG-fMRI integration for investigating complex cognitive processes. …”
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Covariance-based decoding reveals a category-specific functional connectivity network for imagined visual objects by Francesco Mantegna, Emanuele Olivetti, Philipp Schwedhelm, Daniel Baldauf

“…The coordination of different brain regions is required for the visual imagery of complex objects (e.g., faces and places). Short-range connectivity within sensory areas is necessary to construct the mental image. …”
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Investigating resting-state functional connectivity of the human hand motor system: an offline TMS-fMRI study by Enrica Pierotti, Chiara Speranza, Luigi Cattaneo, Luca Turella

“…Skillful hand motor control engages complex interactions within a widespread brain network. …”
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Optimization of Cocoa Pods Maturity Classification Using Stacking and Voting with Ensemble Learning Methods in RGB and LAB Spaces by Kacoutchy Jean Ayikpa, Abou Bakary Ballo, Diarra Mamadou, Pierre Gouton

“…This approach allows for in-depth image analysis, which is essential for capturing the nuances of cocoa pod maturity. …”
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3D Echocardiographic Assessment of Right Ventricular Involvement of Left Ventricular Hypertrabecularization from a New Perspective by Márton Horváth, Kristóf Farkas-Sütő, Flóra Klára Gyulánczi, Alexandra Fábián, Bálint Lakatos, Anna Réka Kiss, Kinga Grebur, Zsófia Gregor, Balázs Mester, Attila Kovács, Béla Merkely, Andrea Szűcs

“…Right ventricular (RV) involvement in left ventricular hypertrabeculation (LVNC) remains under investigation. Due to its complex anatomy, assessing RV function is challenging, but 3D transthoracic echocardiography (3D_TTE) offers valuable insights. …”
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A simple clustering approach to map the human brain's cortical semantic network organization during task by Yunhao Zhang, Shaonan Wang, Nan Lin, Lingzhong Fan, Chengqing Zong

“…Specifically, we analyzed functional magnetic resonance imaging (fMRI) data from 11 subjects, each exposed to 672 concepts, and correlated this with semantic rating data related to these concepts. …”
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Spatiotemporal dynamics of reading Kana (syllabograms) and Kanji (morphograms) by Kazuto Katsuse, Kazuo Kakinuma, Shin-Ichiro Osawa, Shoko Ota, Hana Kikuchi, Ai Kawamura, Kazushi Ukishiro, Kazuyo Tanji, Nobuko Kawakami, Chifumi Iseki, Shigenori Kanno, Yuichiro Shirota, Masashi Hamada, Tatsushi Toda, Hidenori Endo, Nobukazu Nakasato, Kyoko Suzuki

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Spatio-temporal dynamics of sound-induced vestibular processing: insights from stereo-EEG recordings by Michele Terzaghi, Piergiorgio d'Orio, Ivana Sartori, Veronica Pelliccia, Flavia Maria Zauli, Silvia Colnaghi, Valter Rustioni, Fausto Caruana, Maria Del Vecchio, Maurizio Versino, Pietro Avanzini

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Dynamic changes in orbitofrontal-hippocampal connectivity linked to cognitive map formation in humans by Yidan Qiu, Huakang Li, Yuanyuan Yang, Shuting Lin, Xiaoyu Zheng, Shuxin Jia, Ruiwang Huang

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ConvNeXt embedded U-Net for semantic segmentation in urban scenes of multi-scale targets by Yanyan Wu, Qian Li

“…However, the types of these images are diverse, and the spatial relationships are complex. …”
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PLZero: placeholder based approach to generalized zero-shot learning for multi-label recognition in chest radiographs by Chengrong Yang, Qiwen Jin, Fei Du, Jing Guo, Yujue Zhou

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A lightweight vision transformer with weighted global average pooling: implications for IoMT applications by Huiyao Dong, Igor Kotenko, Shimin Dong

“…These findings indicate the model’s robustness and generalisation across various medical image analysis tasks, thereby enhancing the applicability of ViTs in resource-limited IoMT devices.…”
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Empirical estimation of the eigenmodes of macroscale cortical dynamics: Reconciling neural field eigenmodes and resting-state networks by James A. Henderson, Kevin M. Aquino, P.A. Robinson

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