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ORCIDComputerized Medical Imaging and Graphics, Volume 120
Volume 120, 2025
- Jinbao Hao
, Huiqi Li, Shuai Lu, Zeheng Li, Weihang Zhang:
General retinal layer segmentation in OCT images via reinforcement constraint. 102480 - Juyoung Lee, Jaehee Chun, Hojin Kim, Jin Sung Kim, Seong Yong Park:
Corrigendum to 'Development and evaluation of an integrated model based on a deep segmentation network and demography-added radiomics algorithm for segmentation and diagnosis of early lung adenocarcinoma' [Computerized Medical Imaging and Graphics Volume 109 (2023) 102299]. 102428 - Siying Xu, Kerstin Hammernik, Andreas Lingg, Jens Kübler, Patrick Krumm, Daniel Rueckert, Sergios Gatidis, Thomas Küstner:
Attention incorporated network for sharing low-rank, image and k-space information during MR image reconstruction to achieve single breath-hold cardiac Cine imaging. 102475 - Oriane Thiery, Mira Rizkallah, Clément Bailly, Caroline Bodet-Milin, Emmanuel Itti, René-Olivier Casasnovas, Steven Le Gouill, Thomas Carlier, Diana Mateus:
PET-based lesion graphs meet clinical data: An interpretable cross-attention framework for DLBCL treatment response prediction. 102481 - Yifei Yang, Jingfan Fan, Tianyu Fu, Deqiang Xiao, Dongsheng Ma, Hong Song, Zhengkai Feng, Youping Liu, Jian Yang:
Head pose-assisted localization of facial landmarks for enhanced fast registration in skull base surgery. 102483 - Giulia Di Teodoro, Federico Siciliano, Valerio Guarrasi, Anne-Mieke Vandamme, Valeria Ghisetti, Anders Sönnerborg, Maurizio Zazzi, Fabrizio Silvestri, Laura Palagi:
A graph neural network-based model with out-of-distribution robustness for enhancing antiretroviral therapy outcome prediction for HIV-1. 102484 - Shuanglin Jiang, Jiangchang Xu, Wenying Wang, Baoxin Tao, Yiqun Wu, Xiaojun Chen:
NURBS curve shape prior-guided multiscale attention network for automatic segmentation of the inferior alveolar nerve. 102485 - Xinyao Liu, Junchang Xin, Qi Shen, Zhihong Huang, Zhiqiong Wang:
Automatic medical report generation based on deep learning: A state of the art survey. 102486 - Aigerim Dautkulova, Omar Ait-Aider, Céline Teulière, Jérôme Coste, Rémi Chaix, Omar Ouachikh, Bruno Pereira, Jean-Jacques Lemaire:
Automated segmentation of deep brain structures from Inversion-Recovery MRI. 102488 - Chenjun Li, Dian Yang, Shun Yao, Shuyue Wang, Ye Wu, Le Zhang, Qiannuo Li, Kang Ik Kevin Cho, Johanna Seitz-Holland, Lipeng Ning, Jon Haitz Legarreta, Yogesh Rathi, Carl-Fredrik Westin, Lauren J. O'Donnell, Nir A. Sochen, Ofer Pasternak, Fan Zhang:
DDEvENet: Evidence-based ensemble learning for uncertainty-aware brain parcellation using diffusion MRI. 102489 - Yiwen Shen, Li Chen, Jieyi Liu, Haobo Chen, Changyan Wang, Hong Ding, Qi Zhang:
PADS-Net: GAN-based radiomics using multi-task network of denoising and segmentation for ultrasonic diagnosis of Parkinson disease. 102490 - Xinghua Ma, Mingye Zou, Xinyan Fang, Gongning Luo, Wei Wang, Suyu Dong, Xiangyu Li, Kuanquan Wang, Qing Dong, Ye Tian, Shuo Li:
Convergent-Diffusion Denoising Model for multi-scenario CT Image Reconstruction. 102491 - Lidan Fu, Lingbing Li, Binchun Lu, Xiaoyong Guo, Xiaojing Shi, Jie Tian, Zhenhua Hu:
Deep Equilibrium Unfolding Learning for Noise Estimation and Removal in Optical Molecular Imaging. 102492 - Azka Rehman, Jaewon Kim, Hyeokjong Lee, Jooyoung Chang, Sang Min Park:
Opportunistic AI for enhanced cardiovascular disease risk stratification using abdominal CT scans. 102493
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