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Imaging techniques

Feel what you read: Specific aspects of empathy modulate semantic retrieval processes and representational content of emotion-label, emotion-laden, and neutral abstract words

Miriam Rademacher, Linda Espey, Marta Ghio, Laura Bechtold

Pneumonia and pneumothorax detection: A multi-factor evaluation of chest X-rays

Yousef Saad Aldabayan

Deep learning detection and classification of fungal and non-fungal calcifications on paranasal sinus CT imaging

Zepa Yang, Insung Choi, [ ... ], Inseon Ryoo

Multi-resolution tone mapping for high dynamic range medical ultrasound images

Thi Lan Nhi Vu, Vimal Chandran, [ ... ], Julia Binder

Improving micromorphological analysis with CNN-based segmentation of flint/obsidian, bone and charcoal

Rafael Arnay, Pedro García-Villa, [ ... ], Carolina Mallol

FetCAT: Cross-attention fusion of transformer-CNN architecture for fetal brain plane classification with explainability using motion-degraded MRI

Sayma Alam Suha, Rifat Shahriyar

Combination of ultrasonography and MRI for preoperative prediction of lymph node metastasis in tongue squamous cell carcinoma: An exploratory study

Hiroshi Hijioka, Hiroaki Tabata

Evaluation of the marginal and internal gaps in 3D-printed interim crowns using different finish line detection methods: An in vitro study

Nguyen Thi Thu Huong, Nguyen Phuong Thao, [ ... ], Nguyen Thu Tra

MViT: A vision transformer with fractal path reordering and dynamic positional encoding

Bomin Liu, Linjun He, Yan Zhu

Fusion of multi-scale geometric features and frequency domain decomposition for stereo matching network

Hua Hou, Diancheng Wang, Jinqian Xu, Yan Wang

Radiomics profiling combined with clinical risk factors for preoperative Lymphatic Metastasis prediction in Colorectal cancer: A multicenter study

Fangda Guo, Jingru Li, [ ... ], Lijing Liu

Deep learning with satellite images enables high-resolution income estimation: A case study of Buenos Aires

Nicolás F. Abbate, Leonardo Gasparini, Franco Ronchetti, Facundo M. Quiroga

Alzheimer’s disease prediction via an explainable CNN using genetic algorithm and SHAP values

Mohammad Zahedipour, Mohammad Saniee Abadeh, Shakila Shojaei

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