Papers
LIP-CAR: a learned inverse problem approach for medical imaging with contrast agent reduction
Davide Evangelista, Elena Morotti, Sonia Colombo Serra et al.
Lightweight Data-Free Denoising for Detail-Preserving Biomedical Image Restoration
Tomáš Chobola, Julia A. Schnabel, Tingying Peng
Lifespan Cortical Surface Reconstruction from Thick-Slice Clinical MRI
Xiuyu Dong, Kaibo Tang, Dan Hu et al.
LHU-Net: a Lean Hybrid U-Net for Cost-efficient, High-performance Volumetric Segmentation
Yousef Sadegheih, Afshin Bozorgpour, Pratibha Kumari et al.
LG-DBGL: Lateralization-Guided Dissociative Brain Graph Learning for Alzheimer’s Disease Identification
Jiazhen Ye, Manman Yuan, Junlin Li et al.
Leveraging Visual Prompt with Diffusion Adversarial Network for Radiotherapy Dose Prediction
Zhenghao Feng, Lu Wen, Jiaqi Cui et al.
Leveraging Semantic Asymmetry for Accurate Gross Tumor Volume Segmentation of Nasopharyngeal Carcinoma in Planning CT
Zi Li, Ying Chen, Zeli Chen et al.
Leveraging Diffusion Models for Continual Test-Time Adaptation in Fundus Image Classification
Mingsi Liu, Xiang Li, Mengxiang Guo et al.
LesionDiffusion: Towards Text-controlled General Lesion Synthesis
Wenhui Lei, Hengrui Tian, Linrui Dai et al.
Lesion-centered vision transformer for stroke outcome prediction from image and clinical data
Mingtian Liu, Nima Hatami, Laura Mechtouff et al.
Lesion-Aware Post-Training of Latent Diffusion Models for Synthesizing Diffusion MRI from CT Perfusion
Junhyeok Lee, Hyunwoong Kim, Hyungjin Chung et al.
LEAVS: An LLM-based Labeler for Abdominal CT Supervision
Ricardo Bigolin Lanfredi, Yan Zhuang, Mark Finkelstein et al.
Learning with Explicit Topological Priors for Chest X-ray Rib Segmentation
Xiaowei Zhao, Chenglong Li, Jin Tang et al.
Learning Segmentation from Radiology Reports
Pedro R. A. S. Bassi, Wenxuan Li, Jieneng Chen et al.
Learning from Sparse Point Labels for Dense Carcinosis Localization in Advanced Ovarian Cancer Assessment
Farahdiba Zarin, Riccardo Oliva, Vinkle Srivastav et al.
Learning Foundation Models from Multi-Organ Medical Images by Capturing Consistency and Diversity of Anatomical Structures
Mohammad Reza Hosseinzadeh Taher, Junpyo Hong, Ravi Soni et al.
Learning Explainable Imaging-Genetics Associations Related to a Neurological Disorder
Jueqi Wang, Zachary Jacokes, John Darrell Van Horn et al.
Learning Disease State from Noisy Ordinal Disease Progression Labels
Gustav Schmidt, Holger Heidrich, Philipp Berens et al.
Learning Contrastive Multimodal Fusion with Improved Modality Dropout for Disease Detection and Prediction
Yi Gu, Kuniaki Saito, Jiaxin Ma
Learning Concept-Driven Logical Rules for Interpretable and Generalizable Medical Image Classification
Yibo Gao, Hangqi Zhou, Zheyao Gao et al.
Learning 3D Medical Image Models From Brain Functional Connectivity Network Supervision For Mental Disorder Diagnosis
Xingcan Hu, Wei Wang, Li Xiao
LEAF: Latent Diffusion with Efficient Encoder Distillation for Aligned Features in Medical Image Segmentation
Qilin Huang, Tianyu Lin, Zhiguang Chen et al.
LDDMEm: Large Deformation Diffeomorphic Metric Embedding: Decoupling Shape Analysis from Image Registration
Greg M. Fleishman, P. Thomas Fletcher
Latent Motion Profiling for Annotation-free Cardiac Phase Detection in Adult and Fetal Echocardiography Videos
Yingyu Yang, Qianye Yang, Kangning Cui et al.
Last Layer Laplacian Pseudocoresets for Robust Medical Image Analysis
Franciskus Xaverius Erick, Johanna Paula Müller, Zhe Li et al.