Uncertainty Aware Deep Reinforcement Learning for Anatomical Landmark Detection in Medical Images. - James Browning; Micha Kornreich; Aubrey Chow; Jayashri Pawar; Li Zhang 024; Richard Herzog; Benjamin L. Odry (MICCAI (3), 2021)

Influence Based Re-Weighing for Labeling Noise in Medical Imaging. - Joschka Braun; Micha Kornreich; JinHyeong Park; Jayashri Pawar; James Browning; Richard Herzog; Benjamin Odry; Li Zhang 024 (ISBI, 2022)

Combining Mixed-Format Labels for AI-Based Pathology Detection Pipeline in a Large-Scale Knee MRI Study. - Micha Kornreich; JinHyeong Park; Joschka Braun; Jayashri Pawar; James Browning; Richard Herzog; Benjamin Odry; Li Zhang 024 (MICCAI (8), 2022)

Explaining the Effectiveness of Multi-Task Learning for Efficient Knowledge Extraction from Spine MRI Reports. - Arijit Sehanobish; McCullen Sandora; Nabila Abraham; Jayashri Pawar; Danielle Torres; Anasuya Das; Murray Becker; Richard Herzog; Benjamin Odry; Ron Vianu (NAACL-HLT (Industry Papers), 2022)

Efficient Extraction of Pathologies from C-Spine Radiology Reports using Multi-Task Learning. - Arijit Sehanobish; Nathaniel Brown; Ishita Daga; Jayashri Pawar; Danielle Torres; Anasuya Das; Murray Becker; Richard Herzog; Benjamin Odry; Ron Vianu (CoRR, 2022)

Improving Pathology Localization: Multi-series Joint Attention Takes the Lead. - Ashwin Raju; Micha Kornreich; Colin Hansen; James Browning; Jayashri Pawar; Richard Herzog; Benjamin Odry; Li Zhang 024 (MICCAI (6), 2023)

Inpainting Pathology in Lumbar Spine MRI with Latent Diffusion. - Colin Hansen; Simas Glinskis; Ashwin Raju; Micha Kornreich; JinHyeong Park; Jayashri Pawar; Richard Herzog; Li Zhang 024; Benjamin Odry (CoRR, 2024)