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ORCIDComputerized Medical Imaging and Graphics, Volume 116
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. 102398 - 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. 102399 - 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. 102400 - 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. 102401 - 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. 102402 - 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. 102403 - 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. 102404 - Angelo Lasala, Maria Chiara Fiorentino, Andrea Bandini, Sara Moccia:
FetalBrainAwareNet: Bridging GANs with anatomical insight for fetal ultrasound brain plane synthesis. 102405 - Runze Wang, Guoyan Zheng:
PFMNet: Prototype-based feature mapping network for few-shot domain adaptation in medical image segmentation. 102406 - 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. 102407 - 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. 102408 - Hui Xie, Hua Zhang, Zijie Chen, Tao Tan:
Precision dose prediction for breast cancer patients undergoing IMRT: The Swin-UMamba-Channel Model. 102409 - 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. 102410 - Giulia Varriano, Vittoria Nardone, Simona Correra, Francesco Mercaldo, Antonella Santone:
An automatic radiomic-based approach for disease localization: A pilot study on COVID-19. 102411 - Bolun Zeng, Huixiang Wang, Leo Joskowicz, Xiaojun Chen:
Fragment distance-guided dual-stream learning for automatic pelvic fracture segmentation. 102412 - 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. 102413 - 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. 102414 - 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. 102415 - 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. 102416 - Dewa Made Sri Arsa, Talha Ilyas, Seok-Hwan Park, Leon O. Chua, Hyongsuk Kim:
Efficient multi-stage feedback attention for diverse lesion in cancer image segmentation. 102417 - 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. 102419 - 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. 102418 - 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. 102420 - 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. 102421 - Jianfeng Zhao, Shuo Li:
Evidence modeling for reliability learning and interpretable decision-making under multi-modality medical image segmentation. 102422
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