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2025	Flood change detection model based on an improved U-net network and multi-head attention mechanism Scientific Reports Fajing Wang, Xu Feng
2025	Next-Generation Deep Learning Approaches for Kidney Tumor Image Analysis: Challenges, Clinical Applications, and Future Perspectives Computers, Materials & Continua Neethu Rose Thomas, J. Anitha, Cristina Popirlan, Claudiu-Ionut Popirlan, D. Jude Hemanth
2025	2025 5th International Symposium on Artificial Intelligence and Intelligent Manufacturing (AIIM) Jiabei Meng
2025	DCSwin-UNet: Dual Encoder U-Net based on CNN and Swin Transformer with Trainable Multiplication Layer for brain tumor segmentation from MRI images Biomedical Signal Processing and Control R. Rekha, P. Shruti, M. Deekshitha, J. Akash
2025	2025 6th International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV) B Sreedhar, B L Prakash, V S N Murthy, Gadi Lava Raju, Avinash Amaranayani, V S Divya Sundar
2025	BAG-Net: A Novel Architecture for Enhanced Medical Image Segmentation with Global Context Attention and Boundary Self-Attention Symmetry Yuyang Lei, Shengxian Yan, Jing Zhang, Xiang Li, Penghui Wang, Xiao Gao, Hui Cao
2025	RE-XswinUnet: Rotary Positional Encoding and Inter-Slice Contextual Connections for Multi-Organ Segmentation Big Data and Cognitive Computing Hang Yang, Chuanghua Yang, Dan Yang, Xiaojing Hang, Wu Liu
2025	RBMDC-Net: Effective Jaw Cyst Segmentation Network Using Residual Bottleneck and Multiscale Dilated Convolution IEEE Access Huixia Zheng, Xiaoliang Jiang, Xu Xu, Zhenfei Yuan
2025	IDCC-SAM: A Zero-Shot Approach for Cell Counting in Immunocytochemistry Dataset Using the Segment Anything Model Bioengineering Samuel Fanijo, Ali Jannesari, Julie Dickerson
2025	2025 29th International Conference on System Theory, Control and Computing (ICSTCC) Viorel Dediu, Andreea Udrea
2024	Joint segmentation of sternocleidomastoid and skeletal muscles in computed tomography images using a multiclass learning approach Radiological Physics and Technology Kosuke Ashino, Naoki Kamiya, Xiangrong Zhou, Hiroki Kato, Takeshi Hara, Hiroshi Fujita