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2023 19th International Symposium on Medical Information Processing and Analysis (SIPAIM) ,
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Automated Anatomical Classification and Quality Assessment ..:
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2023 19th International Symposium on Medical Information Processing and Analysis (SIPAIM) ,
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Automatic Localization of Pancreatic Tumoral Regions in Who..:
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2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI) ,
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Automatic Classification of Esophagogastroduodenoscopy Sub-..:
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2023 19th International Symposium on Medical Information Processing and Analysis (SIPAIM) ,
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Generating synthetic endoscopy videos following a systemati..:
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Lecture Notes in Networks and Systems; Information Technology and Systems ,
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AD-DMKDE: Anomaly Detection Through Density Matrices and Fo..:
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Advances in Artificial Intelligence – IBERAMIA 2022; Lecture Notes in Computer Science ,
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Fast Kernel Density Estimation with Density Matrices and Ra..:
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Communications in Computer and Information Science; Applied Computer Sciences in Engineering ,
7
Risk Automatic Prediction for Social Economy Companies Usin..:
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2022 IEEE International Conference on Data Mining Workshops (ICDMW) ,
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InQMAD: Incremental Quantum Measurement Anomaly Detection:
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Text, Speech, and Dialogue; Lecture Notes in Computer Science ,
9
Deep Bag-of-Sub-Emotions for Depression Detection in Social..:
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Current Practices in Ophthalmology; Artificial Intelligence and Ophthalmology ,
10
What You Need to Know About Artificial Intelligence: Techni..:
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Ophthalmic Medical Image Analysis; Lecture Notes in Computer Science ,
11
Hybrid Deep Learning Gaussian Process for Diabetic Retinopa..:
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Machine Learning and Knowledge Discovery in Databases; Communications in Computer and Information Science ,
12
A Mixed Information Source Approach for Biomedical Question..:
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Ophthalmic Medical Image Analysis; Lecture Notes in Computer Science ,
13
A Conditional Generative Adversarial Network-Based Method f..:
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Medical Image Computing and Computer Assisted Intervention – MICCAI 2020; Lecture Notes in Computer Science ,
14
Multimodal Latent Semantic Alignment for Automated Prostate..:
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Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications; Lecture Notes in Computer Science ,
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