Docscanner: document location and enhancement based on image segmentation. - Ziqi Shan; Yuying Wang; Shunzhong Wei; Xiangmin Li; Haowen Pang; Xinmei Zhou (CIS, 2022)

A fully automatic segmentation pipeline of pulmonary lobes before and after lobectomy from computed tomography images. - Haowen Pang; Yanan Wu; Shouliang Qi; Chen Li 022; Jing Shen; Yong Yue 004; Wei Qian 001; Jianlin Wu (Comput. Biol. Medicine, 2022)

Deep CNN for COPD identification by Multi-View snapshot integration of 3D airway tree and lung field. - Yanan Wu; Ran Du; Jie Feng 009; Shouliang Qi; Haowen Pang; Shuyue Xia; Wei Qian 001 (Biomed. Signal Process. Control., 2023)

CE-NC-VesselSegNet: Supervised by contrast-enhanced CT images but utilized to segment pulmonary vessels from non-contrast-enhanced CT images. - Meihuan Wang; Shouliang Qi; Yanan Wu; Yu Sun; Runsheng Chang; Haowen Pang; Wei Qian 001 (Biomed. Signal Process. Control., 2023)

NCCT-CECT image synthesizers and their application to pulmonary vessel segmentation. - Haowen Pang; Shouliang Qi; Yanan Wu; Meihuan Wang; Chen Li 022; Yu Sun; Wei Qian 001; Guoyan Tang; Jiaxuan Xu; Zhenyu Liang; Rongchang Chen (Comput. Methods Programs Biomed., 2023)

Two-stage contextual transformer-based convolutional neural network for airway extraction from CT images. - Yanan Wu; Shuiqing Zhao; Shouliang Qi; Jie Feng 009; Haowen Pang; Runsheng Chang; Long Bai 008; Mengqi Li; Shuyue Xia; Wei Qian 001; Hongliang Ren 001 (Artif. Intell. Medicine, 2023)

Transformer-based 3D U-Net for pulmonary vessel segmentation and artery-vein separation from CT images. - Yanan Wu; Shouliang Qi; Meihuan Wang; Shuiqing Zhao; Haowen Pang; Jiaxuan Xu; Long Bai 008; Hongliang Ren 001 (Medical Biol. Eng. Comput., 2023)

Depicting and predicting changes of lung after lobectomy for cancer by using CT images. - Yanan Wu; Haowen Pang; Jing Shen; Shouliang Qi; Jie Feng 009; Yong Yue 004; Wei Qian 001; Jianlin Wu (Medical Biol. Eng. Comput., 2023)

Preoperative prediction of cervical cancer survival using a high-resolution MRI-based radiomics nomogram. - Jia Li; Hao Zhou; Xiaofei Lu; Yiren Wang; Haowen Pang; Daniel Cesar; Aiai Liu; Ping Zhou (BMC Medical Imaging, 2023)

Improved Stroke Lesion Segmentation via Cross-Model Knowledge Distillation. - Zixin Liu; Haowen Pang; Xinru Zhang; Chuyang Ye (SWITCH/ISLES@MICCAI, 2024)

Advancing Brain Tumor Inpainting with Generative Models. - Ruizhi Zhu; Xinru Zhang; Haowen Pang; Chundan Xu; Chuyang Ye (CoRR, 2024)

Generating synthetic computed tomography for radiotherapy: SynthRAD2023 challenge report. - Evi M. C. Huijben; Maarten L. Terpstra; Arthur Jr Galapon; Suraj Pai; Adrian Thummerer; Peter Koopmans; Manya Afonso; Maureen A. J. M. van Eijnatten; Oliver J. Gurney-Champion; Zeli Chen; Yiwen Zhang; Kaiyi Zheng; et al. (Medical Image Anal., 2024)

Cascaded Diffusion Model and Segment Anything Model for Medical Image Synthesis via Uncertainty-Guided Prompt Generation. - Haowen Pang; Xiaoming Hong; Peng Zhang; Chuyang Ye (IPMI (1), 2025)

BreathVisionNet: A pulmonary-function-guided CNN-transformer hybrid model for expiratory CT image synthesis. - Tiande Zhang; Haowen Pang; Yanan Wu; Jiaxuan Xu; Lingkai Liu; Shang Li; Shuyue Xia; Rongchang Chen; Zhenyu Liang; Shouliang Qi (Comput. Methods Programs Biomed., 2025)

Multi-modal brain MRI synthesis based on SwinUNETR. - Haowen Pang; Weiyan Guo; Chuyang Ye (CoRR, 2025)