1.3k citations · 2k across the 15 of their papers we have counts for
16 papers
Multimodal Spatio-Temporal Deep Learning Approach for Neonatal Postoperative Pain Assessment
Md Sirajus Salekin, Ghada Zamzmi, Dmitry Goldgof +3
The current practice for assessing neonatal postoperative pain relies on bedside caregivers. This practice is subjective, inconsistent, slow, and discontinuous. To develop a reliab…
First Investigation Into the Use of Deep Learning for Continuous Assessment of Neonatal Postoperative Pain
Md Sirajus Salekin, Ghada Zamzmi, Dmitry Goldgof +3
This paper presents the first investigation into the use of fully automated deep learning framework for assessing neonatal postoperative pain. It specifically investigates the use…
Harnessing the Power of Deep Learning Methods in Healthcare: Neonatal Pain Assessment from Crying Sound
Md Sirajus Salekin, Ghada Zamzmi, Rahul Paul +4
Neonatal pain assessment in clinical environments is challenging as it is discontinuous and biased. Facial/body occlusion can occur in such settings due to clinical condition, deve…
Multi-Channel Neural Network for Assessing Neonatal Pain from Videos
Md Sirajus Salekin, Ghada Zamzmi, Dmitry Goldgof +3
Neonates do not have the ability to either articulate pain or communicate it non-verbally by pointing. The current clinical standard for assessing neonatal pain is intermittent and…
A method to Suppress Facial Expression in Posed and Spontaneous Videos
Ghada Zamzmi, Gabriel Ruiz, Matthew Shreve +3
We address the problem of suppressing facial expressions in videos because expressions can hinder the retrieval of important information in applications such as face recognition. T…
Neonatal Pain Expression Recognition Using Transfer Learning
Ghada Zamzmi, Dmitry Goldgof, Rangachar Kasturi +1
Transfer learning using pre-trained Convolutional Neural Networks (CNNs) has been successfully applied to images for different classification tasks. In this paper, we propose a new…
Learning camera viewpoint using CNN to improve 3D body pose estimation
Mona Fathollahi Ghezelghieh, Rangachar Kasturi, Sudeep Sarkar
The objective of this work is to estimate 3D human pose from a single RGB image. Extracting image representations which incorporate both spatial relation of body parts and their re…
Autonomous driving challenge: To Infer the property of a dynamic object based on its motion pattern using recurrent neural network
Mona Fathollahi, Rangachar Kasturi
In autonomous driving applications a critical challenge is to identify action to take to avoid an obstacle on collision course. For example, when a heavy object is suddenly encount…
Machine-based Multimodal Pain Assessment Tool for Infants: A Review
Ghada Zamzmi, Dmitry Goldgof, Rangachar Kasturi +2
Bedside caregivers assess infants' pain at constant intervals by observing specific behavioral and physiological signs of pain. This standard has two main limitations. The first li…
Characterization of the LIGO detectors during their sixth science run
The LIGO Scientific Collaboration, The Virgo Collaboration, J. Aasi +867
In 2009-2010, the Laser Interferometer Gravitational-wave Observa- tory (LIGO) operated together with international partners Virgo and GEO600 as a network to search for gravitation…
Searching for stochastic gravitational waves using data from the two co-located LIGO Hanford detectors
The LIGO Scientific Collaboration, the Virgo Collaboration, J. Aasi +873
Searches for a stochastic gravitational-wave background (SGWB) using terrestrial detectors typically involve cross-correlating data from pairs of detectors. The sensitivity of such…
Application of a Hough search for continuous gravitational waves on data from the 5th LIGO science run
The LIGO Scientific Collaboration, The Virgo Collaboration, J. Aasi +876
We report on an all-sky search for periodic gravitational waves in the frequency range with the first derivative of frequency in the range $-8.9 \times 10^{-1…
Search for long-lived gravitational-wave transients coincident with long gamma-ray bursts
The LIGO Scientific Collaboration, the Virgo Collaboration, J. Aasi +875
Long gamma-ray bursts (GRBs) have been linked to extreme core-collapse supernovae from massive stars. Gravitational waves (GW) offer a probe of the physics behind long GRBs. We inv…
Parameter estimation for compact binary coalescence signals with the first generation gravitational-wave detector network
the LIGO Scientific Collaboration, the Virgo Collaboration, J. Aasi +801
Compact binary systems with neutron stars or black holes are one of the most promising sources for ground-based gravitational wave detectors. Gravitational radiation encodes rich i…
Einstein@Home all-sky search for periodic gravitational waves in LIGO S5 data
J. Aasi, J. Abadie, B. P. Abbott +794
This paper presents results of an all-sky searches for periodic gravitational waves in the frequency range [50, 1190] Hz and with frequency derivative ranges of [-2 x 10^-9, 1.1 x…
The characterization of Virgo data and its impact on gravitational-wave searches
J. Aasi, J. Abadie, B. P. Abbott +798
Between 2007 and 2010 Virgo collected data in coincidence with the LIGO and GEO gravitational-wave (GW) detectors. These data have been searched for GWs emitted by cataclysmic phen…