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Automatic Clinical Report Generation of Thyroid Scintigraphy using Natural Language Processing and Bayesian Convolutional Neural Network

• Authors : Saberi, Abdollah; Saneei, Sarah; Salimi, Yazdan ...

Subjects: Convolutional Neural Network; Natural language processing; Scintigraphy

• Source: Saberi , A , Saneei , S , Salimi , Y , Shiri , I & Zaidi , H 2022 , Automatic Clinical Report Generation of Thyroid Scintigraphy using Natural Language Processing and Bayesian

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Automatic segmentation of the mandible from computed tomography scans for 3D virtual surgical planning using the convolutional neural network

• Authors : Qiu, Bingjiang; Guo, Jiapan; Kraeima, Joep

Subjects: automatic mandible segmentation; convolutional neural network; 3D virtual surgical planning

• Source: Qiu, B, Guo, J, Kraeima, J, Glas, H H, Borra, R J H, Witjes, M J H & van Ooijen, P M A 2019, 'Automatic segmentation of the mandible from computed tomography scans for 3D virtual surgical planning

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Development and external validation of automated detection, classification, and localization of ankle fractures:inside the black box of a convolutional neural network (CNN)

• Authors : Prijs, Jasper; Liao, Zhibin; To, Minh Son

Subjects: Ankle; Artificial Intelligence; CNN

• Source: Machine Learning Consortium, Prijs, J, Liao, Z, To, M S, Verjans, J, Jutte, P C, Stirler, V, Olczak, J, Gordon, M, Guss, D, DiGiovanni, C W, Jaarsma, R L, IJpma, F F A & Doornberg, J N 2023,

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Convolutional neural network-reconstructed velocity for kinetic SZ detection

• Authors : Tanimura, Hideki; Aghanim, Nabila; Bonjean, Victor

Subjects: Cosmic background radiation; Galaxies: clusters: general; Galaxies: clusters: intracluster medium

• Source: Tanimura, H, Aghanim, N, Bonjean, V & Zaroubi, S 2022, 'Convolutional neural network-reconstructed velocity

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A convolutional neural network for segmentation of yeast cells without manual training annotations

• Authors : Kruitbosch, Herbert; Mzayek, Yasmin; Omlor, Sara

• Source: Kruitbosch, H, Mzayek, Y, Omlor, S, Guerra, P & Milias-Argeitis, A 2022, 'A convolutional neural network

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A new deep convolutional neural network design with efficient learning capability:Application to CT image synthesis from MRI

• Authors : Bahrami, Abass; Karimian, Alireza; Fatemizadeh, Emad

Subjects: ATLAS; deep learning; machine learning

• Source: Bahrami, A, Karimian, A, Fatemizadeh, E, Arabi, H & Zaidi, H 2020, 'A new deep convolutional neural network

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Live demonstration:Face recognition on an ultra-low power event-driven convolutional neural network ASIC

• Authors : Liu, Qian; Richter, Ole; Nielsen, Carsten

• Source: Liu, Q, Richter, O, Nielsen, C, Sheik, S, Indiveri, G & Qiao, N 2019, Live demonstration : Face recognition on an ultra-low power event-driven convolutional

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A Deep Convolutional Neural Network for Location Recognition and Geometry based Information

• Authors : Bidoia, Francesco; Sabatelli, Matthia; Shantia, Amir ...

• Source: Bidoia , F , Sabatelli , M , Shantia , A , Wiering , M A & Schomaker , L 2018 , A Deep Convolutional Neural

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Pattern Recognition Techniques in Image-Based Material Classification of Ancient Manuscripts

• Authors : Dhali, Maruf A.; Reynolds, Thomas; Alizadeh, Aylar Ziad

Subjects: Document analysis; Historical manuscript; Convolutional neural network

• Source: Dhali, M A, Reynolds, T, Alizadeh, A Z, Nijdam, S H & Schomaker, L 2024, Pattern Recognition Techniques in Image-Based Material Classification of Ancient Manuscripts. in Lecture Notes in Computer

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Appearance-invariant place recognition by discriminatively training a convolutional neural network

• Authors : Lopez-Antequera, Manuel; Gomez-Ojeda, Ruben; Petkov, Nicolai

Subjects: Place recognition; Convolutional neural networks; Robotics

• Source: Lopez-Antequera, M, Gomez-Ojeda, R, Petkov, N & Gonzalez-Jimenez, J 2017, 'Appearance-invariant place recognition by discriminatively training a convolutional

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