Comput. Medical Imaging Graph.

Keyphrases

Publications

volume 116, 2024

Aurora Rofena, Valerio Guarrasi, Marina Sarli, Claudia Lucia Piccolo, Matteo Sammarra, Bruno Beomonte Zobel, Paolo Soda
A deep learning approach for virtual contrast enhancement in Contrast Enhanced Spectral Mammography. Comput. Medical Imaging Graph. 116 (2024)
Hui Xie, Hua Zhang, Zijie Chen, Tao Tan
Precision dose prediction for breast cancer patients undergoing IMRT: The Swin-UMamba-Channel Model. Comput. Medical Imaging Graph. 116 (2024)
Jian Wang, Fan Yu, Mengze Zhang, Jie Lu, Zhen Qian
A 3D framework for segmentation of carotid artery vessel wall and identification of plaque compositions in multi-sequence MR images. Comput. Medical Imaging Graph. 116 (2024)
Runze Wang, Guoyan Zheng
PFMNet: Prototype-based feature mapping network for few-shot domain adaptation in medical image segmentation. Comput. Medical Imaging Graph. 116 (2024)
Chenchu Xu, Xue Wu, Boyan Wang, Jie Chen, Zhifan Gao, Xiujian Liu, Heye Zhang
Accurate segmentation of liver tumor from multi-modality non-contrast images using a dual-stream multi-level fusion framework. Comput. Medical Imaging Graph. 116 (2024)
Jianfeng Zhao, Shuo Li
Evidence modeling for reliability learning and interpretable decision-making under multi-modality medical image segmentation. Comput. Medical Imaging Graph. 116 (2024)
Phillip Chlap, Hang Min, Jason Dowling, Matthew Field, Kirrily Cloak, Trevor Leong, Mark Lee, Julie Chu, Jennifer Tan, Phillip Tran, Tomas Kron, Mark Sidhom, Kirsty Wiltshire, Sarah Keats, Andrew Kneebone, Annette Haworth, Martin A. Ebert, Shalini K. Vinod, Lois Holloway
Uncertainty estimation using a 3D probabilistic U-Net for segmentation with small radiotherapy clinical trial datasets. Comput. Medical Imaging Graph. 116 (2024)
Dewa Made Sri Arsa, Talha Ilyas, Seok-Hwan Park, Leon Chua, Hyongsuk Kim
Efficient multi-stage feedback attention for diverse lesion in cancer image segmentation. Comput. Medical Imaging Graph. 116 (2024)
David Oluigbo, Tejas Sudharshan Mathai, Bikash Santra, Pritam Mukherjee, Jianfei Liu, Abhishek Jha, Mayank Patel, Karel Pacak, Ronald M. Summers
Weakly supervised detection of pheochromocytomas and paragangliomas in CT using noisy data. Comput. Medical Imaging Graph. 116 (2024)
Bolun Zeng, Huixiang Wang, Leo Joskowicz, Xiaojun Chen
Fragment distance-guided dual-stream learning for automatic pelvic fracture segmentation. Comput. Medical Imaging Graph. 116 (2024)
Wen Liu, Li Li, Jiao Deng, Wei Li
A comprehensive approach for evaluating lymphovascular invasion in invasive breast cancer: Leveraging multimodal MRI findings, radiomics, and deep learning analysis of intra- and peritumoral regions. Comput. Medical Imaging Graph. 116 (2024)
Bartosz Machura, Damian Kucharski, Oskar Bozek, Bartosz Eksner, Bartosz Kokoszka, Tomasz Pekala, Mateusz Radom, Marek Strzelczak, Lukasz Zarudzki, Benjamín Gutiérrez-Becker, Agata Krason, Jean Tessier, Jakub Nalepa
Deep learning ensembles for detecting brain metastases in longitudinal multi-modal MRI studies. Comput. Medical Imaging Graph. 116 (2024)
Lei Chai, Shuangqian Xue, Daodao Tang, Jixin Liu, Ning Sun, Xiujuan Liu
TLF: Triple learning framework for intracranial aneurysms segmentation from unreliable labeled CTA scans. Comput. Medical Imaging Graph. 116 (2024)
Tomoki Oya, Yuka Kadomatsu, Toyofumi Fengshi Chen-Yoshikawa, Megumi Nakao
2D/3D deformable registration for endoscopic camera images using self-supervised offline learning of intraoperative pneumothorax deformation. Comput. Medical Imaging Graph. 116 (2024)
Tao Zhong, Ya Wang, Xiaotong Xu, Xueyang Wu, Shujun Liang, Zhenyuan Ning, Li Wang, Yuyu Niu, Gang Li, Yu Zhang
A brain subcortical segmentation tool based on anatomy attentional fusion network for developing macaques. Comput. Medical Imaging Graph. 116 (2024)
Vasileios Magoulianitis, Jiaxin Yang, Yijing Yang, Jintang Xue, Masatomo Kaneko, Giovanni E. Cacciamani, Andre Abreu, Vinay A. Duddalwar, C.-C. Jay Kuo, Inderbir S. Gill, Chrysostomos L. Nikias
PCa-RadHop: A transparent and lightweight feed-forward method for clinically significant prostate cancer segmentation. Comput. Medical Imaging Graph. 116 (2024)
Yifan Li, Chao Li, Yiran Wei, Stephen J. Price, Carola-Bibiane Schönlieb, Xi Chen
Multi-objective Bayesian optimization with enhanced features for adaptively improved glioblastoma partitioning and survival prediction. Comput. Medical Imaging Graph. 116 (2024)
Angelo Lasala, Maria Chiara Fiorentino, Andrea Bandini, Sara Moccia
FetalBrainAwareNet: Bridging GANs with anatomical insight for fetal ultrasound brain plane synthesis. Comput. Medical Imaging Graph. 116 (2024)
Muhammad Shahid Iqbal, Md Belal Bin Heyat, Saba Parveen, Mohd Ammar Bin Hayat, Mohamad Roshanzamir, Roohallah Alizadehsani, Faijan Akhtar, Eram Sayeed, Sadiq Hussain, Hany S. Hussein, Mohamad Sawan
Progress and trends in neurological disorders research based on deep learning. Comput. Medical Imaging Graph. 116 (2024)
Xiaoming Jiang, Yongxin Yang, Tong Su, Kai Xiao, Lidan Lu, Wei Wang, Changsong Guo, Lizhi Shao, Mingjing Wang, Dong Jiang
Unsupervised domain adaptation based on feature and edge alignment for femur X-ray image segmentation. Comput. Medical Imaging Graph. 116 (2024)
Caryn Geady, Farnoosh Abbas Aghababazadeh, Andres Kohan, Scott Schuetze, David Shultz, Benjamin Haibe-Kains
Radiomic-based prediction of lesion-specific systemic treatment response in metastatic disease. Comput. Medical Imaging Graph. 116 (2024)
Peixuan Ge, Shibo Li, Yefeng Liang, Shuwei Zhang, Lihai Zhang, Ying Hu, Liang Yao, Pak-Kin Wong
Enhancing trabecular CT scans based on deep learning with multi-strategy fusion. Comput. Medical Imaging Graph. 116 (2024)
Yijie Qu, Tao Lu, Shaoting Zhang, Guotai Wang
ScribSD+: Scribble-supervised medical image segmentation based on simultaneous multi-scale knowledge distillation and class-wise contrastive regularization. Comput. Medical Imaging Graph. 116 (2024)
Shahab Aslani, Pavan Alluri, Eyjolfur Gudmundsson, Edward Chandy, John McCabe, Anand Devaraj, Carolyn Horst, Sam M. Janes, Rahul Chakkara, Daniel C. Alexander, Arjun Nair, Joseph Jacob
Enhancing cancer prediction in challenging screen-detected incident lung nodules using time-series deep learning. Comput. Medical Imaging Graph. 116 (2024)
Giulia Varriano, Vittoria Nardone, Simona Correra, Francesco Mercaldo, Antonella Santone
An automatic radiomic-based approach for disease localization: A pilot study on COVID-19. Comput. Medical Imaging Graph. 116 (2024)

volume 115, 2024

volume 114, 2024