Papers
DGM: Disentangled Generative Model for Detecting AD Individualized Pathological Changes via Pseudo-Healthy Synthesis
Zhuangzhuang Li, Kun Zhao, Dong Wang et al.
DGHFA: Dynamic Gradient and Hierarchical Feature Alignment for Robust Distillation of Medical VLMs
Boyi Xiao, Jianghao Wu, Lanfeng Zhong et al.
DetectDiffuse: Aggregation- and Attention-driven Universal Lesion Detection with Multi-scale Diffusion Model
Xinyu Li, Danni Ai, Jingfan Fan et al.
DentEval: Fine-tuning-Free Expert-Aligned Assessment in Dental Education via LLM Agents
Xinyu Deng, Vesna Miletic, Elvis Trinh et al.
Delving into Out-of-Distribution Detection with Medical Vision-Language Models
Lie Ju, Sijin Zhou, Yukun Zhou et al.
DEFUSE-MS: Deformation Field-Guided Spatiotemporal Graph-Based Framework for Multiple Sclerosis New Lesion Detection
Mostafa Salem, Salma Hassan, Vijay Ram Kumar Papineni et al.
DeepAf: One-Shot Spatiospectral Auto-Focus Model for Digital Pathology
Yousef Yeganeh, Maximilian Frantzen, Michael Lee et al.
Deep Learning-based Alignment Measurement in Knee Radiographs
Zhisen Hu, Dominic Cullen, Peter Thompson et al.
Deep Learning Framework for Managing Inter-Reader Variability in Background Parenchymal Enhancement Classification for Contrast-Enhanced Mammography
Elodie Ripaud, Clément Jailin, Pablo Milioni de Carvalho et al.
Deep Knowledge-Infused Transformer for NSCLC Lymph Node Station Metastasis Prediction: Development of an AI-Powered Intraoperative Decision System
Jie Zhao, Zifan Chen, Guangzhengao Yang et al.
Deep Association Multimodal Learning for Zero-shot Spatial Transcriptomics Prediction
Yijing Zhou, Yadong Lu, Qingli Li et al.
Decentralized Noise Handling in Medical Imaging: Encoder-Decoder Based Federated Imputation for Robust Training
Yunyoung Chang, Yeonwoo Noh, Sang-Woong Lee et al.
DCT-Net: Dual-branch CT Reconstruction from Orthogonal X-rays with Diffusion Model and Contrastive Learning
Zhiyu Zhang, Cong Shen, Jijun Tang et al.
DC-Seg: Disentangled Contrastive Learning for Brain Tumor Segmentation with Missing Modalities
Haitao Li, Ziyu Li, Yiheng Mao et al.
DCKAN: A Dual-Coordinate KAN Framework for Fibrous Cap Segmentation on Carotid OCT
Tonghua Wan, Sihan Liu, Yuxin Cai et al.
D-CAM: Learning Generalizable Weakly-Supervised Medical Image Segmentation from Domain-invariant CAM
Jingjun Yi, Qi Bi, Hao Zheng et al.
D4Recon: Dual-stage Deformation and Dual-scale Depth Guidance for Endoscopic Reconstruction
Hritam Basak, Zhaozheng Yin
D3M: Deformation-Driven Diffusion Model for Synthesis of Contrast-Enhanced MRI with Brain Tumors
Haowen Pang, Peng Zhang, Xiaoming Hong et al.
D2MAE: Diffusional Deblurring MAE for Ultrasound Image Pre-training
Qingbo Kang, Jun Gao, Hongkai Zhao et al.
D2Diff: A Dual-Domain Diffusion Model for Accurate Multi-Contrast MRI Synthesis
Sanuwani Dayarathna, Himashi Peiris, Kh Tohidul Islam et al.
CytoSAE: Interpretable Cell Embeddings for Hematology
Muhammed Furkan Dasdelen, Hyesu Lim, Michele Buck et al.
Cycle Context Verification for In-Context Medical Image Segmentation
Shishuai Hu, Zehui Liao, Liangli Zhen et al.
CXR-TFT: Multi-Modal Temporal Fusion Transformer for Predicting Chest X-ray Trajectories
Mehak Arora, Ayman Ali, Kaiyuan Wu et al.
CXR-CML: Improved zero-shot classification of long-tailed multi-label diseases in Chest X-Rays
Rajesh Madhipati, Sheethal Bhat, Lukas Buess et al.
CurConMix: A Curriculum Contrastive Learning Framework for Enhancing Surgical Action Triplet Recognition
Yongjun Jeon, Jongmin Shin, Seonmin Park et al.