Semantic AutoSAM: Self-Prompting Segment Anything Model for Semantic Segmentation of Medical Images. - Assefa Seyoum Wahd; Jessica Küpper; Jacob L. Jaremko; Abhilash Rakkunedeth Hareendranathan (EMBC, 2024)

Deep Metric Learning-Based Out-of-Distribution Detection with Synthetic Outlier Exposure. - Assefa Seyoum Wahd (CoRR, 2024)

Shoulder Rotator Cuff Tear Detection from Ultrasound Videos Using Deep Reinforcement Learning. - Shrimanti Ghosh; Geetika Vadali; Ayush Singh; Yuyue Zhou; Banafshe Felfeliyan; Assefa Seyoum Wahd; Jessica Knight; Mahesh R. Panicker; Jacob L. Jaremko; Abhilash Rakkunedeth Hareendranathan (ISBI, 2025)

Sam2Rad: A segmentation model for medical images with learnable prompts. - Assefa Seyoum Wahd; Banafshe Felfeliyan; Yuyue Zhou; Shrimanti Ghosh; Adam McArthur; Jiechen Zhang; Jacob L. Jaremko; Abhilash Rakkunedeth (Comput. Biol. Medicine, 2025)

Time-Contrastive Pretraining for In-Context Image and Video Segmentation. - Assefa Seyoum Wahd; Jacob L. Jaremko; Abhilash Rakkunedeth Hareendranathan (CoRR, 2025)