Rodney LaLonde | Computer Vision | Deep Learning

Rodney LaLonde

Jul 13, 202023 min read

Algorithms and Applications of Novel Capsule Networks

Algorithms and Applications of Novel Capsule Networks | PhD Defense of Rodney LaLonde | Center for Research in Computer Vision

Rodney LaLonde

Jul 12, 20202 min read

Analysis of Video Retinal Angiography with Deep learning and Eulerian Magnification.

a novel computer-aided decision support tool in analyzing, quantifying, and evaluating the retinal blood vessel structure.

Rodney LaLonde

Jul 12, 20207 min read

Capsules for Biomedical Image Segmentation

Journal extension of the popular SegCaps framework by Rodney LaLonde, Ziyue Xu, Sanjay Jain, and Ulas Bagci.

Rodney LaLonde

Jul 10, 20206 min read

X-Caps: Explainable Capsule Networks

Explainable Capsule Networks published at MICCAI 2020 by Rodney LaLonde, Drew Torigian, and Ulas Bagci.

Rodney LaLonde

Jan 10, 20204 min read

D-Caps: Diagnosis Capsules

Accepted for publication at ISBI 2020.

Rodney LaLonde

Oct 18, 20191 min read

The Lottery Ticket Hypothesis

The Lottery Ticket Hypothesis explained. How deep wide neural networks achieve remarkable results but can prune 90% of their parameters.

Rodney LaLonde

Jul 5, 20192 min read

INN: Inflated Neural Networks for IPMN Diagnosis

Accepted for publication at MICCAI 2019.

Rodney LaLonde

Jul 24, 20181 min read

In the News: Lung Cancer AI Research at UCF

UPDATE: Wow this story has been blowing up across various platforms. I just wanted to leave a short list here of addition coverage...

Rodney LaLonde

Apr 11, 20182 min read

Capsules for Object Segmentation

This work was awarded an ORAL presentation at the MIDL 2018 conference as well as received the CIFAR Student Travel Grant award. The code...

Rodney LaLonde

Apr 5, 20181 min read

Understanding Deep Learning and Generalization

Video | Explaining how deep neural networks generalize to new data, the role of regularization, and relevant background information....

Rodney LaLonde

Dec 4, 20172 min read

ClusterNet: Detecting Small Objects in Large Scenes by Exploiting Spatio-Temporal Information

This work was accepted for publication at CVPR 2018. Detecting small objects, especially those embedded in large scenes, remains a...