Die neue Ausgabe ist online!
2026 • Volume 71 • Number 4+5 - Contents:
Special Issue: Cross-Modality Anatomy: Generative Adversarial Translation Between Imaging Modalities
Guest Editors: Kelvin K. L. Wong, Adrian David Cheok, Dhanjoo N. Ghista and Simon James Fong
Guest Editorial
Kelvin K.L. Wong, Adrian David Cheok, Dhanjoo N. Ghista and Simon James Fong
Cross-modality anatomy: generative adversarial translation between imaging modalities
Page 253
Special Issue Articles
Mei Zhang, Zhengjie Liang, Jiaqi Li, Xiangtai Lai, HeLing Jiang and Jinghua Wen
4D cardiac medical image generation based on a dual U-Net temporal conditional diffusion model
Page 257
Yuguang Ye, Kavimbi Chipusu, Taisheng Zeng, Yusi Chen, Bijiao Ding, Yifeng Huang, Jingwei Guo and Jianlong Huang
Multi-encoder U-Net benchmarking for LiTS17 Liver–Tumor segmentation: accuracy–efficiency trade-offs across training durations
Page 269
Yuguang Ye, Taisheng Zeng, Kavimbi Chipusu, Bijiao Ding, Yifeng Huang, Jingwei Guo and Jianlong Huang
Robust ventricular segmentation in cardiac MRI via fused attention and capsule networks
Page 285
Tingting Wang and Yuxin Xu
RetinalFRNet: retinal vessel segmentation in OCTA images using the feature reconstruction network
Page 301
Qiong Fang, Meimei Liu, Jun Xu, Sen Zhao and Mei An
Three-dimensional automatic segmentation and morphometric analysis of scapula computed tomography images using Swin-U-Net transformers
Page 319
Yu Ke, Qingliang He, Wei Jiang, Yusi Chen and Yueqian Ke
Cortical surface-based descriptors for childhood autism classification using segmentation-guided cortical reconstruction from sMRI
Page 335
Taisheng Zeng, Yuguang Ye, Bijiao Ding, Yifeng Huang, Muhammad Ibrahim Umar, Kavimbi Chipusu and Jianlong Huang
LLM-guided multimodal attention network for robust multiclass Parkinson’s disease diagnosis
Page 349
Weiwei Lu, Feng Wang, Li Li, Dan Chen and Peng Ji
CT-based hybrid deep learning–radiomics framework for predicting postoperative rebleeding in hypertensive intracerebral hemorrhage
Page 363
Zixuan Zhang, Chen Yu, Rui Peng and Xuefei Deng
Enhancing prediction of basal ganglia hemorrhage expansion: a radiomic approach with texture analysis in computed tomography
Page 377
Wanqin Yang, Shanshan Qian and Ping Zhao
Early prediction of progressive cerebral contusion using a deep transfer learning–enhanced multimodal nomogram
Page 395
Dahui Zha, Shuo Guo, Ping Yu and Fei Hong
A nnU-Net-based clinical radiomics model for predicting poor prognosis in sudden deafness
Page 407
Yongfen Huang, Tongle Zhi, Yuqing Miao and Chengjie Meng
A PET-radiomics diagnostic signature to differentiate Hodgkin lymphoma from aggressive non-Hodgkin lymphomas
Page 419
Chuanlin Shan, Xiaomin Sun, Degui Wang and Yingying Sang
Computed tomography body composition-based prediction of postoperative quality of life in non-small cell lung cancer patients
Page 429
Feng Chen, Yunlei Pan, Yuan Fang and Shan Chen
Data-scarce transfer learning fusion for positron emission tomography and computed tomography guided lung biopsy
Page 445