Leveraging Self-supervised Learning for Fetal Cardiac Planes Classification Using Ultrasound Scan Videos. - Joseph Geo Benjamin; Mothilal Asokan; Amna Alhosani; Hussain Alasmawi; Werner Gerhard Diehl; Leanne Bricker; Karthik Nandakumar; Mohammad Yaqub (ASMUS@MICCAI, 2023)

A Federated Learning-Friendly Approach for Parameter-Efficient Fine-Tuning of SAM in 3D Segmentation. - Mothilal Asokan; Joseph Geo Benjamin; Mohammad Yaqub; Karthik Nandakumar (ISIC/iMIMIC/EARTH/DeCaF@MICCAI, 2024)

FedRISE: Rating Induced Sign Election of Gradients for Byzantine Tolerant Federated Aggregation. - Joseph Geo Benjamin; Mothilal Asokan; Mohammad Yaqub; Karthik Nandakumar (CoRR, 2024)

FineLIP: Extending CLIP's Reach via Fine-Grained Alignment with Longer Text Inputs. - Mothilal Asokan; Kebin Wu; Fatima Albreiki (CVPR, 2025)

FedSECA: Sign Election and Coordinate-wise Aggregation of Gradients for Byzantine Tolerant Federated Learning. - Joseph Geo Benjamin; Mothilal Asokan; Mohammad Yaqub; Karthik Nandakumar (CVPR Workshops, 2025)