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Computerized Medical Imaging and Graphics, Volume 116
Volume 116, 2024
- Aurora Rofena
, Valerio Guarrasi
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
Enhancing cancer prediction in challenging screen-detected incident lung nodules using time-series deep learning. 102399 - Muhammad Shahid Iqbal, Md Belal Bin Heyat
Progress and trends in neurological disorders research based on deep learning. 102400 - Bartosz Machura, Damian Kucharski, Oskar Bozek
Deep learning ensembles for detecting brain metastases in longitudinal multi-modal MRI studies. 102401 - Jian Wang, Fan Yu, Mengze Zhang
A 3D framework for segmentation of carotid artery vessel wall and identification of plaque compositions in multi-sequence MR images. 102402 - Phillip Chlap
Uncertainty estimation using a 3D probabilistic U-Net for segmentation with small radiotherapy clinical trial datasets. 102403 - Tao Zhong
A brain subcortical segmentation tool based on anatomy attentional fusion network for developing macaques. 102404 - Angelo Lasala
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
Unsupervised domain adaptation based on feature and edge alignment for femur X-ray image segmentation. 102407 - Vasileios Magoulianitis
PCa-RadHop: A transparent and lightweight feed-forward method for clinically significant prostate cancer segmentation. 102408 - Hui Xie
Precision dose prediction for breast cancer patients undergoing IMRT: The Swin-UMamba-Channel Model. 102409 - Peixuan Ge
Enhancing trabecular CT scans based on deep learning with multi-strategy fusion. 102410 - Giulia Varriano
An automatic radiomic-based approach for disease localization: A pilot study on COVID-19. 102411 - Bolun Zeng
Fragment distance-guided dual-stream learning for automatic pelvic fracture segmentation. 102412 - Caryn Geady
Radiomic-based prediction of lesion-specific systemic treatment response in metastatic disease. 102413 - Chenchu Xu, Xue Wu
Accurate segmentation of liver tumor from multi-modality non-contrast images using a dual-stream multi-level fusion framework. 102414 - Wen Liu, Li 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
Efficient multi-stage feedback attention for diverse lesion in cancer image segmentation. 102417 - David Oluigbo, Tejas Sudharshan Mathai
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
Multi-objective Bayesian optimization with enhanced features for adaptively improved glioblastoma partitioning and survival prediction. 102420 - Lei Chai, Shuangqian Xue
TLF: Triple learning framework for intracranial aneurysms segmentation from unreliable labeled CTA scans. 102421 - Jianfeng Zhao
Evidence modeling for reliability learning and interpretable decision-making under multi-modality medical image segmentation. 102422
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