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Medical Image Analysis
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Volume 51, Pages 1-184 (January 2019)
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1. Editorial Board
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2. Reviewers- an acknowledgement
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3. Mind the gap: Quantification of incomplete ablation patterns after pulmonary vein isolation using minimum path search
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Marta Nuñez-Garcia, Oscar Camara, Mark D. O’Neill, Reza Razavi, Constantine Butakoff.
4. Improvement of fully automated airway segmentation on volumetric computed tomographic images using a 2.5 dimensional convolutional neural net
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Jihye Yun, Jinkon Park, Donghoon Yu, Jaeyoun Yi, Namkug Kim.
5. Fully convolutional multi-scale residual DenseNets for cardiac segmentation and automated cardiac diagnosis using ensemble of classifiers
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Mahendra Khened, Varghese Alex Kollerathu, Ganapathy Krishnamurthi.
6. Coronary artery centerline extraction in cardiac CT angiography using a CNN-based orientation classifier
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Jelmer M. Wolterink, Robbert W. van Hamersvelt, Max A. Viergever, Tim Leiner, Ivana Išgum.
7. Segmentation and classification in MRI and US fetal imaging: Recent trends and future prospects
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Jordina Torrents-Barrena, Gemma Piella, Narcís Masoller, Eduard Gratacós, Miguel Ángel González Ballester.
8. 3D regression neural network for the quantification of enlarged perivascular spaces in brain MRI
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Florian Dubost, Hieab Adams, Gerda Bortsova, M. Arfan Ikram, Marleen de Bruijne.
9. A collaborative computer aided diagnosis (C-CAD) system with eye-tracking, sparse attentional model, and deep learning
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Naji Khosravan, Haydar Celik, Baris Turkbey, Elizabeth C. Jones, Ulas Bagci.
10. A graph-based lesion characterization and deep embedding approach for improved computer-aided diagnosis of nonmass breast MRI lesions
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Cristina Gallego-Ortiz, Anne L. Martel.
11. Hierarchical segmentation using equivalence test (HiSET): Application to DCE image sequences
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Fuchen Liu, Charles-André Cuenod, Isabelle Thomassin-Naggara, Stéphane Chemouny, Yves Rozenholc.
12. Recovery of 3D rib motion from dynamic chest radiography and CT data using local contrast normalization and articular motion model
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Yuta Hiasa, Yoshito Otake, Rie Tanaka, Shigeru Sanada, Yoshinobu Sato.
13. Automatic brain labeling via multi-atlas guided fully convolutional networks
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Longwei Fang, Lichi Zhang, Dong Nie, Xiaohuan Cao, Dinggang Shen.
14. Disease quantification on PET/CT images without explicit object delineation
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Yubing Tong, Jayaram K. Udupa, Dewey Odhner, Caiyun Wu, Drew A. Torigian.
