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ORCIDMedical Image Analysis, Volume 67
Volume 67, January 2021
- Yan Xia, Le Zhang, Nishant Ravikumar
, Rahman Attar, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi:
Recovering from missing data in population imaging - Cardiac MR image imputation via conditional generative adversarial nets. 101812
- Chetan L. Srinidhi, Ozan Ciga, Anne L. Martel:
Deep neural network models for computational histopathology: A survey. 101813 - David Dov, Shahar Z. Kovalsky, Serge Assaad, Jonathan Cohen, Danielle Elliott Range, Avani A. Pendse, Ricardo Henao, Lawrence Carin:
Weakly supervised instance learning for thyroid malignancy prediction from whole slide cytopathology images. 101814 - Robert Frysch, Tim Pfeiffer, Georg Rose:
A novel approach to 2D/3D registration of X-ray images using Grangeat's relation. 101815 - Yuan Xue, Jiarong Ye, Qianying Zhou, L. Rodney Long, Sameer K. Antani, Zhiyun Xue, Carl Cornwell, Richard Zaino, Keith C. Cheng, Xiaolei Huang:
Selective synthetic augmentation with HistoGAN for improved histopathology image classification. 101816 - Yunzhi Huang, Sahar Ahmad, Jingfan Fan, Dinggang Shen, Pew-Thian Yap:
Difficulty-aware hierarchical convolutional neural networks for deformable registration of brain MR images. 101817 - Kees M. van Hespen, Jaco J. M. Zwanenburg, Jeroen Hendrikse, Hugo J. Kuijf:
Subvoxel vessel wall thickness measurements of the intracranial arteries using a convolutional neural network. 101818 - Yifei Chen, Dandan Li, Xin Zhang, Jing Jin, Yi Shen:
Computer aided diagnosis of thyroid nodules based on the devised small-datasets multi-view ensemble learning. 101819 - Davide Scorza, Sara El Hadji, Camilo Cortés, Álvaro Bertelsen, Francesco Cardinale, Giuseppe Baselli, Caroline Essert, Elena De Momi:
Surgical planning assistance in keyhole and percutaneous surgery: A systematic review. 101820 - Nicholas Heller, Fabian Isensee, Klaus H. Maier-Hein, Xiaoshuai Hou, Chunmei Xie, Fengyi Li, Yang Nan, Guangrui Mu, Zhiyong Lin, Miofei Han, Guang Yao, Yaozong Gao, Yao Zhang, Yixin Wang, Feng Hou, Jiawei Yang, Guangwei Xiong, Jiang Tian, Christopher Weight:
The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 challenge. 101821 - Max Blendowski, Lasse Hansen, Mattias P. Heinrich:
Weakly-supervised learning of multi-modal features for regularised iterative descent in 3D image registration. 101822 - Xavier Rafael-Palou, Anton Aubanell, Ilaria Bonavita, Mario Ceresa, Gemma Piella, Vicent J. Ribas, Miguel Ángel González Ballester:
Re-Identification and growth detection of pulmonary nodules without image registration using 3D siamese neural networks. 101823 - Xiaofeng Zhu, Bin Song, Feng Shi, Yanbo Chen, Rongyao Hu, Jiangzhang Gan, Wenhai Zhang, Man Li, Liye Wang, Yaozong Gao, Fei Shan, Dinggang Shen:
Joint prediction and time estimation of COVID-19 developing severe symptoms using chest CT scan. 101824 - Yingying Zhu, Minjeong Kim, Xiaofeng Zhu, Daniel Kaufer, Guorong Wu:
Long range early diagnosis of Alzheimer's disease using longitudinal MR imaging data. 101825 - Shen Zhao, Xi Wu, Bo Chen, Shuo Li:
Automatic vertebrae recognition from arbitrary spine MRI images by a category-Consistent self-calibration detection framework. 101826 - Lijun Bao, Congcong Xiong, Wenping Wei, Zhong Chen, Peter C. M. van Zijl, Xu Li:
Diffusion-regularized susceptibility tensor imaging (DRSTI) of tissue microstructures in the human brain. 101827 - Megumi Nakao, Mitsuhiro Nakamura, Takashi Mizowaki, Tetsuya Matsuda:
Statistical deformation reconstruction using multi-organ shape features for pancreatic cancer localization. 101829 - Xia-an Bi, Xi Hu, Yiming Xie, Hao Wu:
A novel CERNNE approach for predicting Parkinson's Disease-associated genes and brain regions based on multimodal imaging genetics data. 101830 - Yunhe Gao, Rui Huang, Yiwei Yang, Jie Zhang, Kainan Shao, Changjuan Tao, Yuanyuan Chen, Dimitris N. Metaxas, Hongsheng Li, Ming Chen:
FocusNetv2: Imbalanced large and small organ segmentation with adversarial shape constraint for head and neck CT images. 101831 - Zhaohan Xiong, Qing Xia, Zhiqiang Hu, Ning Huang, Cheng Bian, Yefeng Zheng, Sulaiman Vesal, Nishant Ravikumar, Andreas K. Maier, Xin Yang, Pheng-Ann Heng, Dong Ni, Caizi Li, Qianqian Tong, Weixin Si, Élodie Puybareau, Younes Khoudli, Thierry Géraud, Jichao Zhao:
A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging. 101832 - Jeroen Bertels, David Robben, Dirk Vandermeulen, Paul Suetens:
Theoretical analysis and experimental validation of volume bias of soft Dice optimized segmentation maps in the context of inherent uncertainty. 101833 - Bilwaj Gaonkar, Joel Beckett, Mark Attiah, Christine S. Ahn, Matthew Edwards, Bayard Wilson, Azim Laiwalla, Banafsheh Salehi, Bryan Yoo, Alex A. T. Bui, Luke Macyszyn:
Eigenrank by committee: Von-Neumann entropy based data subset selection and failure prediction for deep learning based medical image segmentation. 101834 - Kai Gao, Jianpo Su, Zhongbiao Jiang, Ling-Li Zeng, Zhichao Feng, Hui Shen, Pengfei Rong, Xin Xu, Jian Qin, Yuexiang Yang, Wei Wang, Dewen Hu:
Dual-branch combination network (DCN): Towards accurate diagnosis and lesion segmentation of COVID-19 using CT images. 101836 - Mobarakol Islam, Vibashan VS, Chwee Ming Lim, Hongliang Ren:
ST-MTL: Spatio-Temporal multitask learning model to predict scanpath while tracking instruments in robotic surgery. 101837 - Zhan Wu, Rongjun Ge, Minli Wen, Gaoshuang Liu, Yang Chen, Pinzheng Zhang, Xiaopu He, Jie Hua, Limin Luo, Shuo Li:
ELNet: Automatic classification and segmentation for esophageal lesions using convolutional neural network. 101838 - Youbao Tang, Yuxing Tang, Yingying Zhu, Jing Xiao, Ronald M. Summers:
A disentangled generative model for disease decomposition in chest X-rays via normal image synthesis. 101839 - Zongwei Zhou, Vatsal Sodha, Jiaxuan Pang, Michael B. Gotway, Jianming Liang:
Models Genesis. 101840 - Kivanç Köse, Alican Bozkurt, Christi Alessi-Fox, Melissa Gill, Caterina Longo, Giovanni Pellacani, Jennifer G. Dy, Dana H. Brooks, Milind Rajadhyaksha:
Segmentation of cellular patterns in confocal images of melanocytic lesions in vivo via a multiscale encoder-decoder network (MED-Net). 101841 - Hongxu Yang, Caifeng Shan, R. Arthur Bouwman, Alexander F. Kolen, Peter H. N. de With:
Efficient and Robust Instrument Segmentation in 3D Ultrasound Using Patch-of-Interest-FuseNet with Hybrid Loss. 101842 - Ahmed Nebli, Islem Rekik:
Adversarial brain multiplex prediction from a single brain network with application to gender fingerprinting. 101843 - Hanqing Chao, Xi Fang, Jiajin Zhang, Fatemeh Homayounieh, Chiara Daniela Arru, Subba R. Digumarthy, Rosa Babaei, Hadi Karimi Mobin, Iman Mohseni, Luca Saba, Alessandro Carriero, Zeno Falaschi, Alessio Pasche, Ge Wang, Mannudeep K. Kalra, Pingkun Yan:
Integrative analysis for COVID-19 patient outcome prediction. 101844 - Yabo Fu, Yang Lei, Tonghe Wang, Pretesh Patel, Ashesh B. Jani, Hui Mao, Walter J. Curran, Tian Liu, Xiaofeng Yang:
Biomechanically constrained non-rigid MR-TRUS prostate registration using deep learning based 3D point cloud matching. 101845 - Hongyu Wang, Shanshan Wang, Zibo Qin, Yanning Zhang, Ruijiang Li, Yong Xia:
Triple attention learning for classification of 14 thoracic diseases using chest radiography. 101846 - Manon Ansart, Stéphane Epelbaum, Giulia Bassignana, Alexandre Bône, Simona Bottani, Tiziana Cattai, Raphaël Couronné, Johann Faouzi, Igor Koval, Maxime Louis, Elina Thibeau-Sutre, Junhao Wen, Adam Wild, Ninon Burgos, Didier Dormont, Olivier Colliot, Stanley Durrleman:
Predicting the progression of mild cognitive impairment using machine learning: A systematic, quantitative and critical review. 101848 - Kilian Hett, Vinh-Thong Ta, Ipek Oguz, José V. Manjón, Pierrick Coupé:
Multi-scale graph-based grading for Alzheimer's disease prediction. 101850 - Hoel Kervadec, Jihene Bouchtiba, Christian Desrosiers, Eric Granger, Jose Dolz, Ismail Ben Ayed:
Boundary loss for highly unbalanced segmentation. 101851 - Benjamín Gutiérrez-Becker, Ignacio Sarasua, Christian Wachinger:
Discriminative and generative models for anatomical shape analysis on point clouds with deep neural networks. 101852 - Yoo Jung Kim, Hyungjoon Jang, Kyoungbun Lee, Seongkeun Park, Sung-Gyu Min, Choyeon Hong, Jeong Hwan Park, Kanggeun Lee, Jisoo Kim, Wonjae Hong, Hyun Jung, Yanling Liu, Haran Rajkumar, Mahendra Khened, Ganapathy Krishnamurthi, Sen Yang, Xiyue Wang, Chang Hee Han, Jinwook Choi:
PAIP 2019: Liver cancer segmentation challenge. 101854 - Rachel Lea Draelos, David Dov, Maciej A. Mazurowski, Joseph Y. Lo, Ricardo Henao, Geoffrey D. Rubin, Lawrence Carin:
Machine-learning-based multiple abnormality prediction with large-scale chest computed tomography volumes. 101857 - Eduardo Pérez, Oscar Gabriel Reyes Pupo, Sebastián Ventura:
Convolutional neural networks for the automatic diagnosis of melanoma: An extensive experimental study. 101858 - Pushpak Pati, Antonio Foncubierta-Rodríguez, Orcun Goksel, Maria Gabrani:
Reducing annotation effort in digital pathology: A Co-Representation learning framework for classification tasks. 101859 - Guillaume Chassagnon, Maria Vakalopoulou, Enzo Battistella, Stergios Christodoulidis, Trieu-Nghi Hoang-Thi, Severine Dangeard, Eric Deutsch, Fabrice André, Enora Guillo, Nara Halm, Stefany El Hajj, Florian Bompard, Sophie Neveu, Chahinez Hani, Ines Saab, Alienor Campredon, Hasmik Koulakian, Souhail Bennani, Nikos Paragios:
AI-driven quantification, staging and outcome prediction of COVID-19 pneumonia. 101860 - Dong Zhang, Bo Chen, Shuo Li:
Sequential conditional reinforcement learning for simultaneous vertebral body detection and segmentation with modeling the spine anatomy. 101861 - Reuben Dorent, Thomas C. Booth, Wenqi Li, Carole H. Sudre, Sina Kafiabadi, Manuel Jorge Cardoso, Sébastien Ourselin, Tom Vercauteren:
Learning joint segmentation of tissues and brain lesions from task-specific hetero-modal domain-shifted datasets. 101862 - Zhongyi Han, Benzheng Wei, Xiaoming Xi, Bo Chen, Yilong Yin, Shuo Li:
Unifying neural learning and symbolic reasoning for spinal medical report generation. 101872 - Fei Liu, Kun Wang, Dan Liu, Xin Yang, Jie Tian:
Deep pyramid local attention neural network for cardiac structure segmentation in two-dimensional echocardiography. 101873 - Lei Mou, Yitian Zhao, Huazhu Fu, Yonghuai Liu, Jun Cheng, Yalin Zheng, Pan Su, Jianlong Yang, Li Chen, Alejandro F. Frangi, Masahiro Akiba, Jiang Liu:
CS2-Net: Deep learning segmentation of curvilinear structures in medical imaging. 101874 - Richard Rau, Ozan Unal, Dieter Schweizer, Valery Vishnevsky, Orcun Goksel:
Frequency-dependent attenuation reconstruction with an acoustic reflector. 101875 - Renzhen Wang, Shilei Cao, Kai Ma, Yefeng Zheng, Deyu Meng:
Pairwise learning for medical image segmentation. 101876 - Gang Wang, Qunxi Dong, Jianfeng Wu, Yi Su, Kewei Chen, Qingtang Su, Xiaofeng Zhang, Jinguang Hao, Tao Yao, Li Liu, Caiming Zhang, Richard J. Caselli, Eric M. Reiman, Yalin Wang:
Developing univariate neurodegeneration biomarkers with low-rank and sparse subspace decomposition. 101877 - Christian Wachinger, Anna Rieckmann, Sebastian Pölsterl:
Detect and correct bias in multi-site neuroimaging datasets. 101879 - Jaume Coll-Font, Onur Afacan, Jeanne Chow, Richard S. Lee, Simon K. Warfield, Sila Kurugol:
Modeling dynamic radial contrast enhanced MRI with linear time invariant systems for motion correction in quantitative assessment of kidney function. 101880 - Youngjun Ko, Seunghyuk Moon, Jongduk Baek, Hyunjung Shim:
Rigid and non-rigid motion artifact reduction in X-ray CT using attention module. 101883 - Yu Qin, Zhiwen Liu, Chenghao Liu, Yuxing Li, Xiangzhu Zeng, Chuyang Ye:
Super-Resolved q-Space deep learning with uncertainty quantification. 101885 - Junjie Hu, Ying Song, Qiang Wang, Sen Bai, Zhang Yi:
Incorporating historical sub-optimal deep neural networks for dose prediction in radiotherapy. 101886 - Bryce A. Besler, Andrew S. Michalski, Michael T. Kuczynski, Aleena Abid, Nils D. Forkert, Steven K. Boyd:
Bone and joint enhancement filtering: Application to proximal femur segmentation from uncalibrated computed tomography datasets. 101887
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