Neil Joshi

According to our database, Neil Joshi authored at least 22 papers between 2006 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

TARA: Training and Representation Alteration for AI Fairness and Domain Generalization.

William Paul, Armin Hadzic, Neil Joshi, Fady Alajaji, Philippe Burlina

Neural Comput., 2022

2021

AI Fairness via Domain Adaptation.

Neil Joshi, Philippe M. Burlina

CoRR, 2021

2020

RENATA: REpreseNtation And Training Alteration for Bias Mitigation.

William Paul, Armin Hadzic, Neil Joshi, Philippe Burlina

CoRR, 2020

AI Progress in Skin Lesion Analysis.

Philippe M. Burlina, William Paul, Phil A. Mathew, Neil J. Joshi, Alison W. Rebman, John N. Aucott

CoRR, 2020

Addressing Artificial Intelligence Bias in Retinal Disease Diagnostics.

Philippe Burlina, Neil Joshi, William Paul, Katia D. Pacheco, Neil M. Bressler

CoRR, 2020

AI-based detection of erythema migrans and disambiguation against other skin lesions.

Philippe M. Burlina, Neil J. Joshi, Phil A. Mathew, William Paul, Alison W. Rebman, John N. Aucott

Comput. Biol. Medicine, 2020

2019

Deep learning based retinal OCT segmentation.

Michael J. Pekala, Neil Joshi, T. Y. Alvin Liu, Neil M. Bressler, Delia Cabrera DeBuc, Philippe Burlina

Comput. Biol. Medicine, 2019

Automated detection of erythema migrans and other confounding skin lesions via deep learning.

Philippe M. Burlina, Neil Joshi, Elise Ng, Seth D. Billings, Alison W. Rebman, John N. Aucott

Comput. Biol. Medicine, 2019

Deep embeddings for novelty detection in myopathy.

Philippe Burlina, Neil Joshi, Seth Billings, I-Jeng Wang, Jemima Albayda

Comput. Biol. Medicine, 2019

Unsupervised Deep Novelty Detection: Application To Muscle Ultrasound And Myositis Screening.

Philippe Burlina, Neil J. Joshi, Seth Billings, I-Jeng Wang, Jemima Albayda

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Where's Wally Now? Deep Generative and Discriminative Embeddings for Novelty Detection.

Philippe Burlina, Neil Joshi, I-Jeng Wang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Deep Learning based Retinal OCT Segmentation.

Michael J. Pekala, Neil Joshi, David E. Freund, Neil M. Bressler, Delia Cabrera DeBuc, Philippe M. Burlina

CoRR, 2018

Skin Image Analysis for Erythema Migrans Detection and Automated Lyme Disease Referral.

Philippe Burlina, Neil Joshi, Elise Ng, Seth Billings, Alison W. Rebman, John N. Aucott

Proceedings of the OR 2.0 Context-Aware Operating Theaters, Computer Assisted Robotic Endoscopy, Clinical Image-Based Procedures, - and - Skin Image Analysis, 2018

OCT Segmentation via Deep Learning: A Review of Recent Work.

Michael J. Pekala, Neil Joshi, T. Y. Alvin Liu, Neil M. Bressler, Delia Cabrera DeBuc, Philippe Burlina

Proceedings of the Computer Vision - ACCV 2018 Workshops, 2018

AI-based AMD Analysis: A Review of Recent Progress.

Philippe Burlina, Neil Joshi, Neil M. Bressler

Proceedings of the Computer Vision - ACCV 2018 Workshops, 2018

2017

Comparing humans and deep learning performance for grading AMD: A study in using universal deep features and transfer learning for automated AMD analysis.

Philippe Burlina, Katia D. Pacheco, Neil Joshi, David E. Freund, Neil M. Bressler

Comput. Biol. Medicine, 2017

Machine Learning Methods for 1D Ultrasound Breast Cancer Screening.

Neil Joshi, Seth Billings, Erika Schwartz, Susan C. Harvey, Philippe Burlina

Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

A Hybrid Approach for Incorporating Deep Visual Features and Side Channel Information with Applications to AMD Detection.

Arnaldo Horta, Neil Joshi, Michael J. Pekala, Katia D. Pacheco, Jun Kong, Neil M. Bressler, David E. Freund, Philippe Burlina

Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

2016

Detection of age-related macular degeneration via deep learning.

Philippe Burlina, David E. Freund, Neil Joshi, Y. Wolfson, Neil M. Bressler

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2010

Feature Fusion Applied to Missing Data ASR with the Combination of Recognizers.

Neil Joshi, Ling Guan

J. Signal Process. Syst., 2010

2007

Combination of Recognizers and Fusion of Features Approach to Missing Data ASR Under Non-Stationary Noise Conditions.

Neil Joshi, Ling Guan

Proceedings of the IEEE International Conference on Acoustics, 2007

2006

Missing data ASR with fusion of features and combination of recognizers.

Neil Joshi, Ling Guan

Proceedings of the 2006 IEEE ACL Spoken Language Technology Workshop, 2006