Selected Publications
Reorienting 2D Inpainting for Robust Volumetric OCTA Restoration
N DiSanto, JJ Watson, YK Tao, I Oguz.
Accepted to SPIE Medical Imaging 2027Multi-Scale Feature Adaptation Between a Frozen SAM 3 Encoder and a Convolutional Decoder in a U-Shaped Architecture for Medical Image Segmentation
EK Aghdam, N DiSanto, T Derr, JH Noble.
Accepted to SPIE Medical Imaging 2027VAMOS-OCTA: Vessel-Aware Multi-Axis Orthogonal Supervision for Inpainting Motion-Corrupted OCT Angiography Volumes
N DiSanto, EK Aghdam, H Liu, JJ Watson, YK Tao, H Li, I Oguz.
SPIE Medical Imaging 2026VFMStitch: A Vision-Foundation-Model Empowered Framework for 3D Ultrasound Stitching via Geometric–Semantic Feature Fusion
X Yao, N DiSanto, R Yu, J Wang, D Lu, G Arenas, B Oguz, A Pouch, N Schwartz, BC Byram, I Oguz.
Medical Imaging with Deep Learning (MIDL) 2026Monocular Absolute Depth Estimation from Endoscopy via Domain-Invariant Feature Learning and Latent Consistency
H Li, D Lu, J d’Almeida, D Isik, EK Aghdam, N DiSanto, A Acar, S Sharma, JY Wu, RJ Webster III, I Oguz.
SPIE Medical Imaging 2026
A Benchmark Study of Methods for Surgical Instrument Segmentation in Central Airway Endoscopy
D Isik, KJ Oguine, N DiSanto, J d’Almeida, RJ Webster III, I Oguz, H Li.
SPIE Medical Imaging 2026LOTUS: Latent Outpainting Diffusion Model for Three-Dimensional Ultrasound Stitching
X Yao, R Yu, N DiSanto, EK Aghdam, KJ Oguine, D Lu, A Lou, J Wang, D Hu, G Arenas, B Oguz, A Pouch, N Schwartz, B Byram, I Oguz.
Medical Imaging with Deep Learning (MIDL) 2025
