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ORCIDMedical Image Analysis, Volume 78
Volume 78, May 2022
- Jun Li, Liang Qi, Qingzhong Chen, Yu-Dong Zhang, Xiaohua Qian
:
A dual meta-learning framework based on idle data for enhancing segmentation of pancreatic cancer. 102342 - Duy M. H. Nguyen, Thu T. Nguyen, Huong Vu, Quang Pham, Manh-Duy Nguyen, Binh T. Nguyen, Daniel Sonntag:
TATL: Task agnostic transfer learning for skin attributes detection. 102359 - Miao Kang, Xiaojun Hu, Weilin Huang, Matthew R. Scott, Mauricio Reyes:
Dual-stream pyramid registration network. 102379 - Guihua Tao, Haojiang Li, Jiabin Huang, Chu Han, Jiazhou Chen, Guangying Ruan, Wenjie Huang, Yu Hu, Tingting Dan, Bin Zhang, Shengfeng He, Lizhi Liu, Hongmin Cai:
SeqSeg: A sequential method to achieve nasopharyngeal carcinoma segmentation free from background dominance. 102381 - Max-Heinrich Laves, Malte Tölle, Alexander Schlaefer, Sandy Engelhardt:
Posterior temperature optimized Bayesian models for inverse problems in medical imaging. 102382 - Matthew Sinclair, Andreas Schuh, Karl Hahn, Kersten Petersen, Ying Bai, James Batten, Michiel Schaap, Ben Glocker:
Atlas-ISTN: Joint segmentation, registration and atlas construction with image-and-spatial transformer networks. 102383 - Daniel Jiménez Sánchez, Mikel Ariz, Hang Chang, Xavier Matias-Guiu, Carlos E. de Andrea, Carlos Ortiz-de-Solórzano:
NaroNet: Discovery of tumor microenvironment elements from highly multiplexed images. 102384 - Stine Hansen, Srishti Gautam, Robert Jenssen, Michael Kampffmeyer:
Anomaly detection-inspired few-shot medical image segmentation through self-supervision with supervoxels. 102385 - Louis D. van Harten, Catharina S. de Jonge, Kim J. Beek, Jaap Stoker, Ivana Isgum:
Untangling and segmenting the small intestine in 3D cine-MRI using deep learning. 102386 - Shunjie Dong, Zixuan Pan, Yu Fu, Qianqian Yang, Yuanxue Gao, Tianbai Yu, Yiyu Shi, Cheng Zhuo:
DeU-Net 2.0: Enhanced deformable U-Net for 3D cardiac cine MRI segmentation. 102389 - Riwaj Byanju, Stefan Klein, Alexandra Cristobal-Huerta, Juan Antonio Hernández Tamames, Dirk H. J. Poot:
Time efficiency analysis for undersampled quantitative MRI acquisitions. 102390 - David A. Wood, Sina Kafiabadi, Ayisha Al Busaidi, Emily Guilhem, Antanas Montvila, Jeremy Lynch, Matthew Townend, Siddharth Agarwal, Asif Mazumder, Gareth J. Barker, Sébastien Ourselin, James H. Cole, Thomas C. Booth:
Deep learning models for triaging hospital head MRI examinations. 102391 - Prachi H. Kulkarni, S. N. Merchant, Suyash P. Awate:
Mixed-dictionary models and variational inference in task fMRI for shorter scans and better image quality. 102392 - Jörg Sander, Bob D. de Vos, Ivana Isgum:
Autoencoding low-resolution MRI for semantically smooth interpolation of anisotropic MRI. 102393 - Xiaoqing Guo, Zhen Chen, Jun Liu, Yixuan Yuan:
Non-equivalent images and pixels: Confidence-aware resampling with meta-learning mixup for polyp segmentation. 102394 - Ruxin Wang, Shuyuan Chen, Chaojie Ji, Jianping Fan, Ye Li:
Boundary-aware context neural network for medical image segmentation. 102395 - Pooja Subramaniam, Tabea Kossen, Kerstin Ritter, Anja Hennemuth, Kristian Hildebrand, Adam Hilbert, Jan Sobesky, Michelle Livne, Ivana Galinovic, Ahmed A. Khalil, Jochen B. Fiebach, Dietmar Frey, Vince I. Madai:
Generating 3D TOF-MRA volumes and segmentation labels using generative adversarial networks. 102396 - Huisi Wu, Jiasheng Liu, Fangyan Xiao, Zhenkun Wen, Lan Cheng, Jing Qin:
Semi-supervised segmentation of echocardiography videos via noise-resilient spatiotemporal semantic calibration and fusion. 102397 - Benoît Audelan, Dimitri Hamzaoui, Sarah Montagne, Raphaële Renard-Penna, Hervé Delingette:
Robust Bayesian fusion of continuous segmentation maps. 102398 - Rudolf L. M. van Herten, Amedeo Chiribiri, Marcel Breeuwer, Mitko Veta, Cian M. Scannell:
Physics-informed neural networks for myocardial perfusion MRI quantification. 102399 - Min Zhao, Weizheng Yan, Na Luo, Dongmei Zhi, Zening Fu, Yuhui Du, Shan Yu, Tianzi Jiang, Vince D. Calhoun, Jing Sui:
An attention-based hybrid deep learning framework integrating brain connectivity and activity of resting-state functional MRI data. 102413 - Xiaoxuan Zhang, Xiongfeng Zhu, Kai Tang, Yinghua Zhao, Zixiao Lu, Qianjin Feng:
DDTNet: A dense dual-task network for tumor-infiltrating lymphocyte detection and segmentation in histopathological images of breast cancer. 102415 - Helge Herthum, Hugo Carrillo Lincopi, Axel Osses, Sergio Uribe, Ingolf Sack, Cristóbal Bertoglio:
Multiple motion encoding in phase-contrast MRI: A general theory and application to elastography imaging. 102416 - Imad Eddine Ibrahim Bekkouch, Bulat Maksudov, Semen Kiselev, Tamerlan Mustafaev, Tomaz Vrtovec, Bulat Ibragimov:
Multi-landmark environment analysis with reinforcement learning for pelvic abnormality detection and quantification. 102417 - Xuanang Xu, Thomas Sanford, Baris Turkbey, Sheng Xu, Bradford J. Wood, Pingkun Yan:
Polar transform network for prostate ultrasound segmentation with uncertainty estimation. 102418 - Xiumei Chen, Tao Wang, Haoran Lai, Xiaoling Zhang, Qianjin Feng, Meiyan Huang:
Structure-constrained combination-based nonlinear association analysis between incomplete multimodal imaging and genetic data for biomarker detection of neurodegenerative diseases. 102419 - Tiange Xiang, Chaoyi Zhang, Xinyi Wang, Yang Song, Dongnan Liu, Heng Huang, Weidong Cai:
Towards bi-directional skip connections in encoder-decoder architectures and beyond. 102420 - Zhen Chen, Jie Liu, Meilu Zhu, Yat Ming Peter Woo, Yixuan Yuan:
Instance importance-Aware graph convolutional network for 3D medical diagnosis. 102421 - Ha Manh Luu, Theo van Walsum, Hong Son Mai, Daniel Robert Franklin, Thi Thu Thao Nguyen, Thi My Le, Adriaan Moelker, Van Khang Le, Dang Luu Vu, Ngoc Ha Le, Tran Quoc Long, Trinh Chu Duc, Nguyen Linh Trung:
Automatic scan range for dose-reduced multiphase CT imaging of the liver utilizing CNNs and Gaussian models. 102424 - Maxime Di Folco, Pamela Moceri, Patrick Clarysse, Nicolas Duchateau:
Corrigendum to "Characterizing interactions between cardiac shape and deformation by non-linear manifold learning": Medical Image Analysis, volume 75 (2022), 102778. 102425 - Kang Li, Lequan Yu, Pheng-Ann Heng:
Towards reliable cardiac image segmentation: Assessing image-level and pixel-level segmentation quality via self-reflective references. 102426 - Shaheer U. Saeed, Yunguan Fu, Vasilis Stavrinides, Zachary M. C. Baum, Qianye Yang, Mirabela Rusu, Richard E. Fan, Geoffrey A. Sonn, J. Alison Noble, Dean C. Barratt, Yipeng Hu:
Image quality assessment for machine learning tasks using meta-reinforcement learning. 102427 - Mahmut Yurt, Muzaffer Özbey, Salman Ul Hassan Dar, Berk Tinaz, Kader Karli Oguz, Tolga Çukur:
Progressively volumetrized deep generative models for data-efficient contextual learning of MR image recovery. 102429 - Matthew D. J. McGarry, Elijah E. W. Van Houten, Damian Sowinski, Dhrubo Jyoti, Daniel R. Smith, Diego A. Caban-Rivera, Grace McIlvain, Philip V. Bayly, Curtis L. Johnson, John B. Weaver, Keith D. Paulsen:
Mapping heterogenous anisotropic tissue mechanical properties with transverse isotropic nonlinear inversion MR elastography. 102432 - Chinedu Innocent Nwoye, Tong Yu, Cristians Gonzalez, Barbara Seeliger, Pietro Mascagni, Didier Mutter, Jacques Marescaux, Nicolas Padoy:
Rendezvous: Attention mechanisms for the recognition of surgical action triplets in endoscopic videos. 102433 - Ha Manh Luu, Theo van Walsum, Hong Son Mai, Daniel Robert Franklin, Thi Thu Thao Nguyen, Thi My Le, Adriaan Moelker, Van Khang Le, Dang Luu Vu, Ngoc Ha Le, Tran Quoc Long, Trinh Chu Duc, Nguyen Linh Trung:
Automatic scan range for dose-reduced multiphase CT imaging of the liver utilizing CNNs and Gaussian models. 102422
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