594 results on '"Yefeng Zheng"'
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102. Learning Shape Priors by Pairwise Comparison for Robust Semantic Segmentation.
103. Lifelong Learning Based Disease Diagnosis on Clinical Notes.
104. Improving Short Text Classification Using Context-Sensitive Representations and Content-Aware Extended Topic Knowledge.
105. Enquire One's Parent and Child Before Decision: Fully Exploit Hierarchical Structure for Self-Supervised Taxonomy Expansion.
106. Online Disease Diagnosis with Inductive Heterogeneous Graph Convolutional Networks.
107. From Rain Generation to Rain Removal.
108. Calibrated RGB-D Salient Object Detection.
109. Learning Calibrated Medical Image Segmentation via Multi-Rater Agreement Modeling.
110. CONNER: A Cascade Count and Measurement Extraction Tool for Scientific Discourse.
111. A New Bidirectional Unsupervised Domain Adaptation Segmentation Framework.
112. Generalized Organ Segmentation by Imitating One-Shot Reasoning Using Anatomical Correlation.
113. Feature Library: A Benchmark for Cervical Lesion Segmentation.
114. Imperfect also Deserves Reward: Multi-Level and Sequential Reward Modeling for Better Dialog Management.
115. Unsupervised Knowledge Graph Alignment by Probabilistic Reasoning and Semantic Embedding.
116. Integrating Semantics and Neighborhood Information with Graph-Driven Generative Models for Document Retrieval.
117. Guiding the Growth: Difficulty-Controllable Question Generation through Step-by-Step Rewriting.
118. PRGC: Potential Relation and Global Correspondence Based Joint Relational Triple Extraction.
119. OntoEA: Ontology-guided Entity Alignment via Joint Knowledge Graph Embedding.
120. Towards Interpretability and Personalization: A Predictive Framework for Clinical Time-series Analysis.
121. PRASEMap: A Probabilistic Reasoning and Semantic Embedding based Knowledge Graph Alignment System.
122. Triplet-Branch Network with Prior-Knowledge Embedding for Fatigue Fracture Grading.
123. MIL-VT: Multiple Instance Learning Enhanced Vision Transformer for Fundus Image Classification.
124. Noisy Labels are Treasure: Mean-Teacher-Assisted Confident Learning for Hepatic Vessel Segmentation.
125. Deep Reinforcement Exemplar Learning for Annotation Refinement.
126. Local-Global Dual Perception Based Deep Multiple Instance Learning for Retinal Disease Classification.
127. A Hierarchical Feature Constraint to Camouflage Medical Adversarial Attacks.
128. InDuDoNet: An Interpretable Dual Domain Network for CT Metal Artifact Reduction.
129. Training Automatic View Planner for Cardiac MR Imaging via Self-supervision by Spatial Relationship Between Views.
130. Unsupervised Representation Learning Meets Pseudo-Label Supervised Self-Distillation: A New Approach to Rare Disease Classification.
131. Seg4Reg+: Consistency Learning Between Spine Segmentation and Cobb Angle Regression.
132. Simultaneous Alignment and Surface Regression Using Hybrid 2D-3D Networks for 3D Coherent Layer Segmentation of Retina OCT Images.
133. FedOVA: One-vs-All Training Method for Federated Learning with Non-IID Data.
134. Alternative Baselines for Low-Shot 3D Medical Image Segmentation - An Atlas Perspective.
135. Multi-Modality Generative Adversarial Networks with Tumor Consistency Loss for Brain MR Image Synthesis.
136. A Multi-Task Self-Supervised Learning Framework for Scopy Images.
137. An Industry Evaluation of Embedding-based Entity Alignment.
138. LT-Net: Label Transfer by Learning Reversible Voxel-Wise Correspondence for One-Shot Medical Image Segmentation.
139. INPREM: An Interpretable and Trustworthy Predictive Model for Healthcare.
140. Cross-denoising Network against Corrupted Labels in Medical Image Segmentation with Domain Shift.
141. GREEN: a Graph REsidual rE-ranking Network for Grading Diabetic Retinopathy.
142. Superpixel-Guided Label Softening for Medical Image Segmentation.
143. Learning Crisp Edge Detector Using Logical Refinement Network.
144. TR-GAN: Topology Ranking GAN with Triplet Loss for Retinal Artery/Vein Classification.
145. Learning and Exploiting Interclass Visual Correlations for Medical Image Classification.
146. MI2GAN: Generative Adversarial Network for Medical Image Domain Adaptation Using Mutual Information Constraint.
147. Distractor-Aware Neuron Intrinsic Learning for Generic 2D Medical Image Classifications.
148. Ensembled ResUnet for Anatomical Brain Barriers Segmentation.
149. Cerebral Aneurysm Rupture Risk Estimation Using XGBoost and Fully Connected Neural Network.
150. Comparing to Learn: Surpassing ImageNet Pretraining on Radiographs by Comparing Image Representations.
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