Medical Image Segmentation Using Directional Window Attention. - Daniya Najiha Abdul Kareem; Mustansar Fiaz; Noa Novershtern; Hisham Cholakkal (ISBI, 2024)

Improving 3D Medical Image Segmentation at Boundary Regions using Local Self-attention and Global Volume Mixing. - Daniya Najiha Abdul Kareem; Mustansar Fiaz; Noa Novershtern; Jacob Hanna; Hisham Cholakkal (CoRR, 2024)

Improving 3-D Medical Image Segmentation at Boundary Regions Using Local Self-Attention and Global Volume Mixing. - Daniya Najiha Abdul Kareem; Mustansar Fiaz; Noa Novershtern; Jacob Hanna; Hisham Cholakkal (IEEE Trans. Artif. Intell., 2024)

All Languages Matter: Evaluating LMMs on Culturally Diverse 100 Languages. - Ashmal Vayani; Dinura Dissanayake; Hasindri Watawana; Noor Ahsan; Nevasini Sasikumar; Omkar Thawakar; Henok Biadglign Ademtew; Yahya Hmaiti; Amandeep Kumar; Kartik Kuckreja; Mykola Maslych; Wafa Al Ghallabi; et al. (CVPR, 2025)

Open-Set Semi-Supervised Learning for Long-Tailed Medical Datasets. - Daniya Najiha Abdul Kareem; Jean Lahoud; Mustansar Fiaz; Amandeep Kumar; Hisham Cholakkal (ISBI, 2025)

InceptionMamba: Efficient Multi-Stage Feature Enhancement with Selective State Space Model for Microscopic Medical Image Segmentation. - Daniya Najiha Abdul Kareem; Abdul Hannan; Mubashir Noman; Jean Lahoud; Mustansar Fiaz; Hisham Cholakkal (CoRR, 2025)