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ORCIDMedical Image Analysis, Volume 81
Volume 81, October 2022
- Sunggu Kyung
, Keewon Shin, Hyunsu Jeong, Ki Duk Kim, Jooyoung Park, Kyungjin Cho, Jeong Hyun Lee, Gil-Sun Hong, Namkug Kim:
Improved performance and robustness of multi-task representation learning with consistency loss between pretexts for intracranial hemorrhage identification in head CT. 102489 - Manan Lalit, Pavel Tomancak, Florian Jug:
EmbedSeg: Embedding-based Instance Segmentation for Biomedical Microscopy Data. 102523 - Chao Jin, Jayaram K. Udupa, Liming Zhao, Yubing Tong, Dewey Odhner, Gargi Pednekar, Sanghita Nag, Sharon Lewis, Nicholas Poole, Sutirth Mannikeri, Sudarshana Govindasamy, Aarushi Singh, Joe Camaratta, Steve Owens, Drew A. Torigian:
Object recognition in medical images via anatomy-guided deep learning. 102527 - Xiahai Zhuang, Jiahang Xu, Xinzhe Luo, Chen Chen, Cheng Ouyang, Daniel Rueckert, Víctor M. Campello, Karim Lekadir, Sulaiman Vesal, Nishant Ravikumar, Yashu Liu, Gongning Luo, Jingkun Chen, Hongwei Li, Buntheng Ly, Maxime Sermesant, Holger Roth, Wentao Zhu, Jiexiang Wang, Xinghao Ding, Xinyue Wang, Sen Yang, Lei Li:
Cardiac segmentation on late gadolinium enhancement MRI: A benchmark study from multi-sequence cardiac MR segmentation challenge. 102528 - Yu Zhao, Ke Zeng, Yiyuan Zhao, Parmeet S. Bhatia, Mahesh Ranganath, Muhammed Labeeb Kozhikkavil, Chen Li, Gerardo Hermosillo:
Deep learning solution for medical image localization and orientation detection. 102529 - Yicheng Wu, Zongyuan Ge, Donghao Zhang, Minfeng Xu, Lei Zhang, Yong Xia, Jianfei Cai:
Mutual consistency learning for semi-supervised medical image segmentation. 102530 - Joshua Bierbrier, Houssem-Eddine Gueziri, D. Louis Collins:
Estimating medical image registration error and confidence: A taxonomy and scoping review. 102531 - Fumin Guo, Matthew Ng, Grey Kuling, Graham A. Wright:
Cardiac MRI segmentation with sparse annotations: Ensembling deep learning uncertainty and shape priors. 102532 - Sofie Tilborghs, Jan Bogaert, Frederik Maes:
Shape constrained CNN for segmentation guided prediction of myocardial shape and pose parameters in cardiac MRI. 102533 - Hualin Wang, Yuhong Zhou, Jiong Zhang, Jianqin Lei, Dongke Sun, Feng Xu, Xiayu Xu:
Anomaly segmentation in retinal images with poisson-blending data augmentation. 102534 - Yan Wang, Yangqin Feng, Lei Zhang, Joey Tianyi Zhou, Yong Liu, Rick Siow Mong Goh, Liangli Zhen:
Adversarial multimodal fusion with attention mechanism for skin lesion classification using clinical and dermoscopic images. 102535 - Mina Jafari, Susan T. Francis, Jonathan M. Garibaldi, Xin Chen:
LMISA: A lightweight multi-modality image segmentation network via domain adaptation using gradient magnitude and shape constraint. 102536 - Ahmed Naglah, Fahmi Khalifa, Ayman El-Baz, Dibson D. Gondim:
Conditional GANs based system for fibrosis detection and quantification in Hematoxylin and Eosin whole slide images. 102537 - Bo Zhou, Jo Schlemper, Neel Dey, Seyed Sadegh Mohseni Salehi, Kevin N. Sheth, Chi Liu, James S. Duncan, Michal Sofka:
Dual-domain self-supervised learning for accelerated non-Cartesian MRI reconstruction. 102538 - Pengshuai Yang, Xiaoxu Yin, Haiming Lu, Zhongliang Hu, Xuegong Zhang, Rui Jiang, Hairong Lv:
CS-CO: A Hybrid Self-Supervised Visual Representation Learning Method for H&E-stained Histopathological Images. 102539 - Gia H. Ngo, Minh Nguyen, Nancy F. Chen, Mert R. Sabuncu:
A transformer-Based neural language model that synthesizes brain activation maps from free-form text queries. 102540 - Tiantian Xu, Ye Wu, Yoonmi Hong, Sahar Ahmad, Khoi Minh Huynh, Zhixing Wang, Weili Lin, Wei-Tang Chang, Pew-Thian Yap:
Rapid Diffusion Magnetic Resonance Imaging Using Slice-Interleaved Encoding. 102548 - Alessia Atzeni, Loïc Peter, Eleanor D. Robinson, Emily Blackburn, Juri Althonayan, Daniel C. Alexander, Juan Eugenio Iglesias:
Deep active learning for suggestive segmentation of biomedical image stacks via optimisation of Dice scores and traced boundary length. 102549 - Liangliang Liu, Yu-Ping Wang, Yi Wang, Pei Zhang, Shufeng Xiong:
An enhanced multi-modal brain graph network for classifying neuropsychiatric disorders. 102550 - Dwarikanath Mahapatra, Alexander Poellinger, Mauricio Reyes:
Interpretability-Guided Inductive Bias For Deep Learning Based Medical Image. 102551 - Xiaojiao Xiao, Jianfeng Zhao, Shuo Li:
Task relevance driven adversarial learning for simultaneous detection, size grading, and quantification of hepatocellular carcinoma via integrating multi-modality MRI. 102554 - Arnaud Boutillon, Pierre-Henri Conze, Christelle Pons, Valérie Burdin, Bhushan Borotikar:
Generalizable multi-task, multi-domain deep segmentation of sparse pediatric imaging datasets via multi-scale contrastive regularization and multi-joint anatomical priors. 102556 - Lisa Kausch, Sarina Thomas, Holger Kunze, Tobias Norajitra, André Klein, Leonardo Ayala, Jan Siad El Barbari, Eric Mandelka, Maxim Privalov, Sven Yves Vetter, Andreas H. Mahnken, Lena Maier-Hein, Klaus H. Maier-Hein:
C-arm positioning for standard projections during spinal implant placement. 102557 - Xiyue Wang, Sen Yang, Jun Zhang, Minghui Wang, Jing Zhang, Wei Yang, Junzhou Huang, Xiao Han:
Transformer-based unsupervised contrastive learning for histopathological image classification. 102559 - Rui Guo, Hao Li, Chencheng Zhang, Xiaohua Qian:
A tree-structure-guided graph convolutional network with contrastive learning for the assessment of parkinsonian hand movements. 102560 - Yawen Wu, Dewen Zeng, Zhepeng Wang, Yiyu Shi, Jingtong Hu:
Distributed contrastive learning for medical image segmentation. 102564 - Xiebo Geng, Xiuli Liu, Shenghua Cheng, Shaoqun Zeng:
Cervical cytopathology image refocusing via multi-scale attention features and domain normalization. 102566 - Jinhua Liu, Zhiming Cui, Christian Desrosiers, Shuyi Lu, Yuanfeng Zhou:
Grayscale self-adjusting network with weak feature enhancement for 3D lumbar anatomy segmentation. 102567 - Juan Carlos Angeles Ceron, Gilberto Ochoa Ruiz, Leonardo Chang, Sharib Ali:
Real-time instance segmentation of surgical instruments using attention and multi-scale feature fusion. 102569 - Nicola K. Dinsdale, Mark Jenkinson, Ana I. L. Namburete:
STAMP: Simultaneous Training and Model Pruning for low data regimes in medical image segmentation. 102583
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