Mohammad Yaqub
20 papers · 2022–2026 · 6 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (20) π£ Hot Topic Early Bird π Conference Pioneer
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Prolific Year Β· Productive
π₯
Unstoppable Β· Bronze
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The Questioner
(2)
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Century Club Β· Bronze
Top co-authors
Research topics
Computer Vision
(6)
Deep Learning
(5)
Domain-Specific
(5)
Artificial Intelligence
(4)
Machine Learning
(4)
Core AI
(4)
Application Areas
(3)
Architectures
(3)
Learning Types
(3)
Core Methods
(2)
Learning Paradigms
(2)
Healthcare & Medicine
(1)
Natural Language Processing
(1)
Applications
(1)
Clinical
(1)
Keywords
multimodal learning
(3)
semantic segmentation
(2)
vision transformer
(2)
contrastive learning
(2)
transfer learning
(2)
out-of-distribution generalization
(1)
prompt learning
(1)
domain adaptation
(1)
token pruning
(1)
medical image segmentation
(1)
question answering
(1)
feature disentanglement
(1)
foundation model
(1)
medical image classification
(1)
convolutional neural network
(1)
medical imaging
(1)
spurious correlation
(1)
vision-language model
(1)
domain generalization
(1)
multi-task learning
(1)
Papers
DuPLUS: Dual-Prompt Vision-Language Model for Universal Medical Image Segmentation and Prognosis
WACV 2026
MAFM3: Modular Adaptation of Foundation Models for Multi-Modal Medical AI
WACV 2026
TransPrune: Token Transition Pruning for Efficient Large Vision-Language Model
CVPR 2026
ClinGRAD: Clinically-Guided Genomics and Radiomics Interpretable GNN for Dementia Diagnosis
MICCAI 2025
ConDiSR: Contrastive Disentanglement and Style Regularization for Single Domain Generalizatio
WACV 2025
DEFUSE-MS: Deformation Field-Guided Spatiotemporal Graph-Based Framework for Multiple Sclerosis New Lesion Detection
MICCAI 2025
DiMPLe - Disentangled Multi-Modal Prompt Learning: Enhancing Out-Of-Distribution Alignment with Invariant and Spurious Feature Separation
ICCV 2025
Forget-MI: Machine Unlearning for Forgetting Multimodal Information in Healthcare Settings
MICCAI 2025
MAGNET-AD: Multitask Spatiotemporal GNN for Interpretable Prediction of PACC and Conversion Time in Preclinical Alzheimer
MICCAI 2025
MedNNS: Supernet-based Medical Task-Adaptive Neural Network Search
MICCAI 2025
MOTOR: Multimodal Optimal Transport via Grounded Retrieval in Medical Visual Question Answering
MICCAI 2025
CoReEcho: Continuous Representation Learning for 2D+time Echocardiography Analysis
MICCAI 2024
FissionFusion: Fast Geometric Generation and Hierarchical Souping for Medical Image Analysis
MICCAI 2024
HuLP: Human-in-the-Loop for Prognosis
MICCAI 2024
iML at SemEval-2024 Task 2: Safe Biomedical Natural Language Interference for Clinical Trials with LLM Based Ensemble Inferencing
SemEval 2024
PEMMA: Parameter-Efficient Multi-Modal Adaptation for Medical Image Segmentation
MICCAI 2024
SurvRNC: Learning Ordered Representations for Survival Prediction using Rank-N-Contrast
MICCAI 2024
FUSQA: Fetal Ultrasound Segmentation Quality Assessment
MIDL 2023
Automatic Segmentation of Head and Neck Tumor: How Powerful Transformers Are?
MIDL 2022
Is it Possible to Predict MGMT Promoter Methylation from Brain Tumor MRI Scans using Deep Learning Models?
MIDL 2022