214 citations · 450 across the 14 of their papers we have counts for
21 papers
Selecting the Best Optimizers for Deep Learning based Medical Image Segmentation
Aliasghar Mortazi, Vedat Cicek, Elif Keles +1
The goal of this work is to identify the best optimizers for deep learning in the context of cardiac image segmentation and to provide guidance on how to design segmentation networ…
Deformable Capsules for Object Detection
Rodney Lalonde, Naji Khosravan, Ulas Bagci
Capsule networks promise significant benefits over convolutional networks by storing stronger internal representations, and routing information based on the agreement between inter…
Capsules for Biomedical Image Segmentation
Rodney LaLonde, Ziyue Xu, Ismail Irmakci +2
Our work expands the use of capsule networks to the task of object segmentation for the first time in the literature. This is made possible via the introduction of locally-constrai…
Cross-modality Knowledge Transfer for Prostate Segmentation from CT Scans
Yucheng Liu, Naji Khosravan, Yulin Liu +5
Creating large scale high-quality annotations is a known challenge in medical imaging. In this work, based on the CycleGAN algorithm, we propose leveraging annotations from one mod…
Encoding Visual Attributes in Capsules for Explainable Medical Diagnoses
Rodney LaLonde, Drew Torigian, Ulas Bagci
Convolutional neural network based systems have largely failed to be adopted in many high-risk application areas, including healthcare, military, security, transportation, finance,…
Weakly Supervised Segmentation by A Deep Geodesic Prior
Aliasghar Mortazi, Naji Khosravan, Drew A. Torigian +2
The performance of the state-of-the-art image segmentation methods heavily relies on the high-quality annotations, which are not easily affordable, particularly for medical data. T…