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ORCIDMedical Image Analysis, Volume 71
Volume 71, July 2021
- Zongwei Zhou
, Jae Y. Shin, Suryakanth R. Gurudu, Michael B. Gotway, Jianming Liang:
Active, continual fine tuning of convolutional neural networks for reducing annotation efforts. 101997 - Yuhang Liu, Changsheng Zhou, Fandong Zhang, Qianyi Zhang, Siwen Wang, Juan Zhou, Fugeng Sheng, Xiaoqi Wang, Wanhua Liu, Yizhou Wang, Yizhou Yu, Guangming Lu:
Compare and contrast: Detecting mammographic soft-tissue lesions with C2-Net. 101999 - Mansu Kim, Jingxuan Bao, Kefei Liu, Bo-yong Park, Hyunjin Park, Jae Young Baik, Li Shen:
A structural enriched functional network: An application to predict brain cognitive performance. 102026 - Evan Hann, Iulia A. Popescu, Qiang Zhang, Ricardo A. Gonzales, Ahmet Barutcu, Stefan Neubauer, Vanessa M. Ferreira, Stefan K. Piechnik:
Deep neural network ensemble for on-the-fly quality control-driven segmentation of cardiac MRI T1 mapping. 102029 - Hai Xie, Xianlu Zeng, Haijun Lei, Jie Du, Jiantao Wang, Guoming Zhang, Jiuwen Cao, Tianfu Wang, Baiying Lei:
Cross-attention multi-branch network for fundus diseases classification using SLO images. 102031 - Josefine Vilsbøll Sundgaard, James Michael Harte, Peter Bray, Søren Laugesen, Yosuke Kamide, Chiemi Tanaka, Rasmus R. Paulsen, Anders Nymark Christensen:
Deep metric learning for otitis media classification. 102034 - Jun Ma, Jianan Chen, Matthew Ng, Rui Huang, Yu Li, Chen Li, Xiaoping Yang, Anne L. Martel:
Loss odyssey in medical image segmentation. 102035 - Boah Kim, Dong Hwan Kim, Seong Ho Park, Jieun Kim, June-Goo Lee, Jong Chul Ye:
CycleMorph: Cycle consistent unsupervised deformable image registration. 102036 - Yan Xia, Nishant Ravikumar, John P. Greenwood, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi:
Super-Resolution of Cardiac MR Cine Imaging using Conditional GANs and Unsupervised Transfer Learning. 102037 - Charley Gros, Andréanne Lemay, Julien Cohen-Adad:
SoftSeg: Advantages of soft versus binary training for image segmentation. 102038 - Kelei He, Chunfeng Lian, Ehsan Adeli, Jing Huo, Yang Gao, Bing Zhang, Junfeng Zhang, Dinggang Shen:
MetricUNet: Synergistic image- and voxel-level learning for precise prostate segmentation via online sampling. 102039 - Sheng Lian, Zhiming Luo, Cheng Feng, Shaozi Li, Shuo Li:
APRIL: Anatomical prior-guided reinforcement learning for accurate carotid lumen diameter and intima-media thickness measurement. 102040 - Bo Zhou, Zachary Augenfeld, Julius Chapiro, S. Kevin Zhou, Chi Liu, James S. Duncan:
Anatomy-guided multimodal registration by learning segmentation without ground truth: Application to intraprocedural CBCT/MR liver segmentation and registration. 102041 - Libao Guo, Baiying Lei, Weiling Chen, Jie Du, Alejandro F. Frangi, Jing Qin, Cheng Zhao, Pengpeng Shi, Bei Xia, Tianfu Wang:
Dual attention enhancement feature fusion network for segmentation and quantitative analysis of paediatric echocardiography. 102042 - Faraz Janan, Michael Brady:
RICE: A method for quantitative mammographic image enhancement. 102043 - Gabriel Bernardino, Amir Hodzic, Hélène Langet, Damien Legallois, Mathieu De Craene, Miguel Ángel González Ballester, Eric Saloux, Bart H. Bijnens:
Volumetric parcellation of the cardiac right ventricle for regional geometric and functional assessment. 102044 - Paddy J. Slator, Jana Hutter, Razvan V. Marinescu, Marco Palombo, Laurence H. Jackson, Alison Ho, Lucy C. Chappell, Mary A. Rutherford, Joseph V. Hajnal, Daniel C. Alexander:
Data-Driven multi-Contrast spectral microstructure imaging with InSpect: INtegrated SPECTral component estimation and mapping. 102045 - Alberto Signoroni, Mattia Savardi, Sergio Benini, Nicola Adami, Riccardo Leonardi, Paolo Gibellini, Filippo Vaccher, Marco Ravanelli, Andrea Borghesi, Roberto Maroldi, Davide Farina:
BS-Net: Learning COVID-19 pneumonia severity on a large chest X-ray dataset. 102046 - Hyungjin Chung, Eunju Cha, Leonard Sunwoo, Jong Chul Ye:
Two-stage deep learning for accelerated 3D time-of-flight MRA without matched training data. 102047 - Mengyang Zhao, Aadarsh Jha, Quan Liu, Bryan A. Millis, Anita Mahadevan-Jansen, Le Lu, Bennett A. Landman, Matthew J. Tyska, Yuankai Huo:
Faster Mean-shift: GPU-accelerated clustering for cosine embedding-based cell segmentation and tracking. 102048 - Jun Bai, Russell Posner, Tianyu Wang, Clifford Yang, Sheida Nabavi:
Applying deep learning in digital breast tomosynthesis for automatic breast cancer detection: A review. 102049 - Weikang Gong, Christian F. Beckmann, Stephen M. Smith:
Phenotype discovery from population brain imaging. 102050 - Qingyu Zhao, Zixuan Liu, Ehsan Adeli, Kilian M. Pohl:
Longitudinal self-supervised learning. 102051 - Xinyu Liu, Xiaoqing Guo, Yajie Liu, Yixuan Yuan:
Consolidated domain adaptive detection and localization framework for cross-device colonoscopic images. 102052 - Maria Grammatikopoulou, Evangello Flouty, Abdolrahim Kadkhodamohammadi, Gwenolé Quellec, Andre Chow, Jean Nehme, Imanol Luengo, Danail Stoyanov:
CaDIS: Cataract dataset for surgical RGB-image segmentation. 102053 - Mikhail Goncharov, Maxim Pisov, Alexey Shevtsov, Boris Shirokikh, Anvar Kurmukov, Ivan A. Blokhin, Valeria Chernina, Alexander Solovev, Victor Gombolevskiy, Sergey Morozov, Mikhail Belyaev:
CT-Based COVID-19 triage: Deep multitask learning improves joint identification and severity quantification. 102054 - Yuting He, Guanyu Yang, Jian Yang, Rongjun Ge, Youyong Kong, Xiaomei Zhu, Shaobo Zhang, Pengfei Shao, Huazhong Shu, Jean-Louis Dillenseger, Jean-Louis Coatrieux, Shuo Li:
Meta grayscale adaptive network for 3D integrated renal structures segmentation. 102055 - Jiangzhang Gan, Zi-Wen Peng, Xiaofeng Zhu, Rongyao Hu, Junbo Ma, Guorong Wu:
Brain functional connectivity analysis based on multi-graph fusion. 102057 - Kutsev Bengisu Ozyoruk, Guliz Irem Gokceler, Taylor L. Bobrow, Gulfize Coskun, Kagan Incetan, Yasin Almalioglu, Faisal Mahmood, Eva Curto, Luis Perdigoto, Marina Oliveira, Hasan Sahin, Helder Araújo, Henrique Alexandrino, Nicholas J. Durr, Hunter B. Gilbert, Mehmet Turan:
EndoSLAM dataset and an unsupervised monocular visual odometry and depth estimation approach for endoscopic videos. 102058 - Mustafa Burak Gurbuz, Islem Rekik:
MGN-Net: A multi-view graph normalizer for integrating heterogeneous biological network populations. 102059 - Xu Chen, Chunfeng Lian, Li Wang, Hannah H. Deng, Tianshu Kuang, Steve H. Fung, Jaime Gateno, Dinggang Shen, James J. Xia, Pew-Thian Yap:
Diverse data augmentation for learning image segmentation with cross-modality annotations. 102060 - Jonas Teuwen, Nikita Moriakov, Christian Fedon, Marco Caballo, Ingrid S. Reiser, Predrag R. Bakic, Eloy García, Oliver Díaz, Koen Michielsen, Ioannis Sechopoulos:
Deep learning reconstruction of digital breast tomosynthesis images for accurate breast density and patient-specific radiation dose estimation. 102061 - Samuel Budd, Emma C. Robinson, Bernhard Kainz:
A survey on active learning and human-in-the-loop deep learning for medical image analysis. 102062 - Mingliang Wang, Jiashuang Huang, Mingxia Liu, Daoqiang Zhang:
Modeling dynamic characteristics of brain functional connectivity networks using resting-state functional MRI. 102063 - Johanna Stimm, Stefano Buoso, Ezgi Berberoglu, Sebastian Kozerke, Martin Genet, Christian T. Stoeck:
A 3D personalized cardiac myocyte aggregate orientation model using MRI data-driven low-rank basis functions. 102064 - Byeongjoon Kim, Hyunjung Shim, Jongduk Baek:
Weakly-supervised progressive denoising with unpaired CT images. 102065 - Stefano Buoso, Thomas Joyce, Sebastian Kozerke:
Personalising left-ventricular biophysical models of the heart using parametric physics-informed neural networks. 102066 - Oliver Maier, Stefan M. Spann, Daniela Pinter, Thomas Gattringer, Nicole Hinteregger, Gerhard G. Thallinger, Christian Enzinger, Josef Pfeuffer, Kristian Bredies, Rudolf Stollberger:
Non-linear fitting with joint spatial regularization in arterial spin labeling. 102067 - Hao Guan, Yunbi Liu, Erkun Yang, Pew-Thian Yap, Dinggang Shen, Mingxia Liu:
Multi-site MRI harmonization via attention-guided deep domain adaptation for brain disorder identification. 102076 - Chenhao Pei, Fuping Wu, Liqin Huang, Xiahai Zhuang:
Disentangle domain features for cross-modality cardiac image segmentation. 102078 - Kerstin Kläser, Thomas Varsavsky, Pawel Markiewicz, Tom Vercauteren, Alexander Hammers, David Atkinson, Kris Thielemans, Brian F. Hutton, Manuel Jorge Cardoso, Sébastien Ourselin:
Imitation learning for improved 3D PET/MR attenuation correction. 102079 - Karli Gillette, Matthias A. F. Gsell, Anton J. Prassl, Elias Karabelas, Ursula Reiter, Gert Reiter, Thomas Grandits, Christian Payer, Darko Stern, Martin Urschler, Jason D. Bayer, Christoph M. Augustin, Aurel Neic, Thomas Pock, Edward J. Vigmond, Gernot Plank:
A Framework for the generation of digital twins of cardiac electrophysiology from clinical 12-leads ECGs. 102080 - Yutong Yan, Pierre-Henri Conze, Mathieu Lamard, Gwenolé Quellec, Béatrice Cochener, Gouenou Coatrieux:
Towards improved breast mass detection using dual-view mammogram matching. 102083 - Megi Isallari, Islem Rekik:
Brain graph super-resolution using adversarial graph neural network with application to functional brain connectivity. 102084 - Yu Qin, Yuxing Li, Zhizheng Zhuo, Zhiwen Liu, Yaou Liu, Chuyang Ye:
Multimodal super-resolved q-space deep learning. 102085 - Zixia Zhou, Yi Guo, Yuanyuan Wang:
Ultrasound deep beamforming using a multiconstrained hybrid generative adversarial network. 102086
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