74 citations · 173 across the 30 of their papers we have counts for
9 papers · 1 filter
Crown-CAM: Interpretable Visual Explanations for Tree Crown Detection in Aerial Images
Seyed Mojtaba Marvasti-Zadeh, Devin Goodsman, Nilanjan Ray +1
Visual explanation of ``black-box'' models allows researchers in explainable artificial intelligence (XAI) to interpret the model's decisions in a human-understandable manner. In t…
Early Detection of Bark Beetle Attack Using Remote Sensing and Machine Learning: A Review
Seyed Mojtaba Marvasti-Zadeh, Devin Goodsman, Nilanjan Ray +1
This paper provides a comprehensive review of past and current advances in the early detection of bark beetle-induced tree mortality from three primary perspectives: bark beetle &…
Unsupervised diffeomorphic cardiac image registration using parameterization of the deformation field
Ameneh Sheikhjafari, Deepa Krishnaswamy, Michelle Noga +2
This study proposes an end-to-end unsupervised diffeomorphic deformable registration framework based on moving mesh parameterization. Using this parameterization, a deformation fie…
Classification of Bark Beetle-Induced Forest Tree Mortality using Deep Learning
Rudraksh Kapil, Seyed Mojtaba Marvasti-Zadeh, Devin Goodsman +2
Bark beetle outbreaks can dramatically impact forest ecosystems and services around the world. For the development of effective forest policies and management plans, the early dete…
Tiny-HR: Towards an interpretable machine learning pipeline for heart rate estimation on edge devices
Preetam Anbukarasu, Shailesh Nanisetty, Ganesh Tata +1
The focus of this paper is a proof of concept, machine learning (ML) pipeline that extracts heart rate from pressure sensor data acquired on low-power edge devices. The ML pipeline…
Learning-based Monocular 3D Reconstruction of Birds: A Contemporary Survey
Seyed Mojtaba Marvasti-Zadeh, Mohammad N. S. Jahromi, Javad Khaghani +3
In nature, the collective behavior of animals, such as flying birds is dominated by the interactions between individuals of the same species. However, the study of such behavior am…