Papers
10,599 papers found
ClassFormer: Exploring Class-Aware Dependency with Transformer for Medical Image Segmentation
Huimin Huang, Shiao Xie, Lanfen Lin et al.
Causal Recurrent Variational Autoencoder for Medical Time Series Generation
Hongming Li, Shujian Yu, Jose Principe
RFC-Net: Learning High Resolution Global Features for Medical Image Segmentation on a Computational Budget (Student Abstract)
Sourajit Saha, Shaswati Saha, Md Osman Gani et al.
PromptMRG: Diagnosis-Driven Prompts for Medical Report Generation
Haibo Jin, Haoxuan Che, Yi Lin et al.
Rolling-Unet: Revitalizing MLP’s Ability to Efficiently Extract Long-Distance Dependencies for Medical Image Segmentation
Yutong Liu, Haijiang Zhu, Mengting Liu et al.
Gradient Alignment Improves Test-Time Adaptation for Medical Image Segmentation
Ziyang Chen, Yiwen Ye, Yongsheng Pan et al.
ParseCaps: An Interpretable Parsing Capsule Network for Medical Image Diagnosis
Xinyu Geng, Jiaming Wang, Xiaolin Huang et al.
Every Component Counts: Rethinking the Measure of Success for Medical Semantic Segmentation in Multi-Instance Segmentation Tasks
Alexander Jaus, Constantin Marc Seibold, Simon Reiß et al.
U-KAN Makes Strong Backbone for Medical Image Segmentation and Generation
Chenxin Li, Xinyu Liu, Wuyang Li et al.
AIF-SFDA: Autonomous Information Filter Driven Source-Free Domain Adaptation for Medical Image Segmentation
Haojin Li, Heng Li, Jianyu Chen et al.
Neighbor Does Matter: Density-Aware Contrastive Learning for Medical Semi-supervised Segmentation
Feilong Tang, Zhongxing Xu, Ming Hu et al.
FedVCK: Non-IID Robust and Communication-Efficient Federated Learning via Valuable Condensed Knowledge for Medical Image Analysis
Guochen Yan, Luyuan Xie, Xinyi Gao et al.
Incongruent Multimodal Federated Learning for Medical Vision and Language-based Multi-label Disease Detection
Pramit Saha, Divyanshu Mishra, Felix Wagner et al.
IMQC: A Large Language Model Platform for Medical Quality Control
Qi Ye, Guangya Yu, Jingping Liu et al.
Challenging Language-Dependent Segmentation for Arabic: An Application to Machine Translation and Part-of-Speech Tagging
Hassan Sajjad, Fahim Dalvi, Nadir Durrani et al.
A Corpus with Multi-Level Annotations of Patients, Interventions and Outcomes to Support Language Processing for Medical Literature
Benjamin Nye, Junyi Jessy Li, Roma Patel et al.
Deep Neural Models for Medical Concept Normalization in User-Generated Texts
Zulfat Miftahutdinov, Elena Tutubalina
KU_ai at MEDIQA 2019: Domain-specific Pre-training and Transfer Learning for Medical NLI
Cemil Cengiz, Ulaş Sert, Deniz Yuret
UW-BHI at MEDIQA 2019: An Analysis of Representation Methods for Medical Natural Language Inference
William Kearns, Wilson Lau, Jason Thomas
Saama Research at MEDIQA 2019: Pre-trained BioBERT with Attention Visualisation for Medical Natural Language Inference
Kamal raj Kanakarajan, Suriyadeepan Ramamoorthy, Vaidheeswaran Archana et al.
MICHAEL: Mining Character-level Patterns for Arabic Dialect Identification (MADAR Challenge)
Dhaou Ghoul, Gaël Lejeune
Hierarchical Deep Learning for Arabic Dialect Identification
Gael de Francony, Victor Guichard, Praveen Joshi et al.
The SMarT Classifier for Arabic Fine-Grained Dialect Identification
Karima Meftouh, Karima Abidi, Salima Harrat et al.
A Character Level Convolutional BiLSTM for Arabic Dialect Identification
Mohamed Elaraby, Ahmed Zahran