[MICCAI 2025] IM-Fuse: A Mamba-based Fusion Block for Brain Tumor Segmentation with Incomplete Modalities

[IEEE-JBHI'2024] M2FTrans: Modality-Masked Fusion Transformer for Incomplete Multi-Modality Brain Tumor Segmentation

Learning joint Segmentation of Tissues And Brain Lesions (jSTABL) from task-specific hetero-modal domain-shifted datasets

Multimodal Representation Learning under Imperfect Data Conditions: A Survey

"Training-free Graph-based Imputation of Missing Modalities in Multimodal Recommendation", accepted in IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE)

Quantum Inspired Dynamic Trust Fusion Framework for Adaptive Audio Visual Emotion Estimation under low quality and missing modality conditions

A missing-aware multimodal framework that fuses CT, Whole-Slide Histopathology, and clinical tabular data for survival prediction in unresectable stage II–III Non-Small Cell Lung Cancer (NSCLC) — without dropping patients or imputing absent modalities.

Public repository of our work in multi-modal co-learning for missing modalities