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1
Fully Convolutional Network for Liver Segmentation and Lesions Detection
Fully Convolutional Network for Liver Segmentation and Lesions Detection
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Ata de Congresso 		Adicionar ao Meu Espaço

Fully Convolutional Network for Liver Segmentation and Lesions Detection

Ben-Cohen, Avi ; Diamant, Idit ; Klang, Eyal ; Amitai, Michal ; Greenspan, Hayit

Deep Learning and Data Labeling for Medical Applications, p.77-85 [Periódico revisado por pares]

Cham: Springer International Publishing

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2
Multi-dimensional Gated Recurrent Units for the Segmentation of Biomedical 3D-Data
Multi-dimensional Gated Recurrent Units for the Segmentation of Biomedical 3D-Data
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Multi-dimensional Gated Recurrent Units for the Segmentation of Biomedical 3D-Data

Andermatt, Simon ; Pezold, Simon ; Cattin, Philippe

Deep Learning and Data Labeling for Medical Applications, p.142-151 [Periódico revisado por pares]

Cham: Springer International Publishing

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3
Medical Image Description Using Multi-task-loss CNN
Medical Image Description Using Multi-task-loss CNN
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Medical Image Description Using Multi-task-loss CNN

Kisilev, Pavel ; Sason, Eli ; Barkan, Ella ; Hashoul, Sharbell

Deep Learning and Data Labeling for Medical Applications, p.121-129 [Periódico revisado por pares]

Cham: Springer International Publishing

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4
Deep Learning of Brain Lesion Patterns for Predicting Future Disease Activity in Patients with Early Symptoms of Multiple Sclerosis
Deep Learning of Brain Lesion Patterns for Predicting Future Disease Activity in Patients with Early Symptoms of Multiple Sclerosis
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Deep Learning of Brain Lesion Patterns for Predicting Future Disease Activity in Patients with Early Symptoms of Multiple Sclerosis

Yoo, Youngjin ; Tang, Lisa W. ; Brosch, Tom ; Li, David K. B. ; Metz, Luanne ; Traboulsee, Anthony ; Tam, Roger

Deep Learning and Data Labeling for Medical Applications, p.86-94 [Periódico revisado por pares]

Cham: Springer International Publishing

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5
Fully Automating Graf’s Method for DDH Diagnosis Using Deep Convolutional Neural Networks
Fully Automating Graf’s Method for DDH Diagnosis Using Deep Convolutional Neural Networks
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Fully Automating Graf’s Method for DDH Diagnosis Using Deep Convolutional Neural Networks

Golan, David ; Donner, Yoni ; Mansi, Chris ; Jaremko, Jacob ; Ramachandran, Manoj

Deep Learning and Data Labeling for Medical Applications, p.130-141 [Periódico revisado por pares]

Cham: Springer International Publishing

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6
Cell Segmentation Proposal Network for Microscopy Image Analysis
Cell Segmentation Proposal Network for Microscopy Image Analysis
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Capítulo de Livro 		Adicionar ao Meu Espaço

Cell Segmentation Proposal Network for Microscopy Image Analysis

Akram, Saad Ullah ; Kannala, Juho ; Eklund, Lauri ; Heikkilä, Janne

Deep Learning and Data Labeling for Medical Applications, p.21-29 [Periódico revisado por pares]

Cham: Springer International Publishing

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7
Learning Thermal Process Representations for Intraoperative Analysis of Cortical Perfusion During Ischemic Strokes
Learning Thermal Process Representations for Intraoperative Analysis of Cortical Perfusion During Ischemic Strokes
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Learning Thermal Process Representations for Intraoperative Analysis of Cortical Perfusion During Ischemic Strokes

Hoffmann, Nico ; Koch, Edmund ; Steiner, Gerald ; Petersohn, Uwe ; Kirsch, Matthias

Deep Learning and Data Labeling for Medical Applications, p.152-160 [Periódico revisado por pares]

Cham: Springer International Publishing

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8
Automatic Slice Identification in 3D Medical Images with a ConvNet Regressor
Automatic Slice Identification in 3D Medical Images with a ConvNet Regressor
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Automatic Slice Identification in 3D Medical Images with a ConvNet Regressor

de Vos, Bob D. ; Viergever, Max A. ; de Jong, Pim A. ; Išgum, Ivana

Deep Learning and Data Labeling for Medical Applications, p.161-169 [Periódico revisado por pares]

Cham: Springer International Publishing

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