Osmar R. Zaiane
16 papers · 2022–2026 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+5 more ↓ Show less ↑
π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (19) π£ Hot Topic Early Bird π€ Dynamic Duo (13)
π
Conference Pioneer
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Productive
π
Century Club Β· Bronze
π
Renaissance Researcher
(6)
Top co-authors
Research topics
Deep Learning
(3)
Machine Learning
(3)
Computer Vision
(2)
Healthcare & Medicine
(2)
Natural Language Processing
(2)
Architectures
(2)
Clinical
(2)
Domain-Specific
(2)
Learning Types Β· Deep Learning
(2)
Learning Types Β· Machine Learning
(2)
Processing
(2)
Artificial Intelligence
(1)
Data Science & Analytics
(1)
Reinforcement Learning
(1)
Analysis
(1)
Keywords
medical image segmentation
(3)
semantic segmentation
(1)
semi-supervised learning
(1)
domain generalization
(1)
latent dirichlet allocation
(1)
sequential decision making
(1)
machine translation
(1)
data augmentation
(1)
topic modeling
(1)
neural machine translation
(1)
text representation
(1)
channel attention
(1)
pseudo labeling
(1)
community detection
(1)
network analysis
(1)
reward design
(1)
topic coherence
(1)
collaborative learning
(1)
community discovery
(1)
topic model
(1)
Papers
Style Content Decomposition-based Data Augmentation for Domain Generalizable Medical Image Segmentation
MIDL 2026
BrainPrompt: Domain Adaptation with Prompt Learning for Multi-site Brain Network Analysis
MICCAI 2025
ConStyX: Content Style Augmentation for Generalizable Medical Image Segmentation
MICCAI 2025
RIFNet: Bridging Modalities for Accurate and Detailed Ocular Disease Analysis
MICCAI 2025
Structure-aware MRI Translation: Multi-Modal Latent Diffusion Model with Arbitrary Missing Modalities
MICCAI 2025
The Evolving Landscape of LLM- and VLM-Integrated Reinforcement Learning
IJCAI 2025
3D-SAutoMed: Automatic Segment Anything Model for 3D Medical Image Segmentation from Local-Global Perspective
MICCAI 2024
A Clinical-oriented Lightweight Network for High-resolution Medical Image Enhancement
MICCAI 2024
A Clinical-oriented Multi-level Contrastive Learning Method for Disease Diagnosis in Low-quality Medical Images
MICCAI 2024
Exploring Spatio-Temporal Interpretable Dynamic Brain Function with Transformer for Brain Disorder Diagnosis
MICCAI 2024
Progressively Correcting Soft Labels via Teacher Team for Knowledge Distillation in Medical Image Segmentation
MICCAI 2024
Self-Paced Sample Selection for Barely-Supervised Medical Image Segmentation
MICCAI 2024
Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image Segmentation
IJCAI 2023
Community Topic: Topic Model Inference by Consecutive Word Community Discovery
COLING 2022
Non-autoregressive Translation with Layer-Wise Prediction and Deep Supervision
AAAI 2022
UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-Wise Perspective with Transformer
AAAI 2022