Swin-LiteMedSAM: A Lightweight Box-Based Segment Anything Model for Large-Scale Medical Image Datasets. - Ruochen Gao; Donghang Lyu; Marius Staring (MedSAM@CVPR, 2024)

UPCMR: A Universal Prompt-Guided Model for Random Sampling Cardiac MRI Reconstruction. - Donghang Lyu; Chinmay Rao; Marius Staring; Matthias J. P. van Osch; Mariya Doneva; Hildo J. Lamb; Nicola Pezzotti (CMRxRecon/MBAS/STACOM@MICCAI, 2024)

MCP-MedSAM: A Powerful Lightweight Medical Segment Anything Model Trained with a Single GPU in Just One Day. - Donghang Lyu; Ruochen Gao; Marius Staring (CoRR, 2024)

Efficient MedSAMs: Segment Anything in Medical Images on Laptop. - Jun Ma 016; Feifei Li 010; Sumin Kim; Reza Asakereh; Bao-Hiep Le; Dang-Khoa Nguyen-Vu; Alexander Pfefferle; Muxin Wei; Ruochen Gao; Donghang Lyu; Songxiao Yang; Lennart Purucker; et al. (CoRR, 2024)

Low-dose computed tomography perceptual image quality assessment. - Wonkyeong Lee; Fabian Wagner; Adrian Galdran; Yongyi Shi; Wenjun Xia; Ge Wang 001; Xuanqin Mou; Md. Atik Ahamed; Abdullah-Al-Zubaer Imran; Ji Eun Oh; Kyungsang Kim; Jong Tak Baek; et al. (Medical Image Anal., 2025)

KP-INR: A Dual-Branch Implicit Neural Representation Model for Cardiac Cine MRI Reconstruction. - Donghang Lyu; Marius Staring; Mariya Doneva; Hildo J. Lamb; Nicola Pezzotti (CoRR, 2025)