Neil Joshi

Publication Activity (10 Years)

Years Active: 2006-2022
Publications (10 Years): 16

Top Topics

Novelty Detection

Recent Progress

Top Venues

Comput. Biol. Medicine

Publications

William Paul, Armin Hadzic, Neil Joshi, Fady Alajaji, Philippe Burlina
TARA: Training and Representation Alteration for AI Fairness and Domain Generalization. Neural Comput. 34 (3) (2022)
Neil Joshi, Philippe M. Burlina
AI Fairness via Domain Adaptation. CoRR (2021)
William Paul, Armin Hadzic, Neil Joshi, Philippe Burlina
RENATA: REpreseNtation And Training Alteration for Bias Mitigation. CoRR (2020)
Philippe Burlina, Neil Joshi, William Paul, Katia D. Pacheco, Neil M. Bressler
Addressing Artificial Intelligence Bias in Retinal Disease Diagnostics. CoRR (2020)
Philippe Burlina, Neil Joshi, Seth Billings, I-Jeng Wang, Jemima Albayda
Deep embeddings for novelty detection in myopathy. Comput. Biol. Medicine 105 (2019)
Philippe Burlina, Neil Joshi, I-Jeng Wang
Where's Wally Now? Deep Generative and Discriminative Embeddings for Novelty Detection. CVPR (2019)
Michael J. Pekala, Neil Joshi, T. Y. Alvin Liu, Neil M. Bressler, Delia Cabrera DeBuc, Philippe Burlina
Deep learning based retinal OCT segmentation. Comput. Biol. Medicine 114 (2019)
Philippe M. Burlina, Neil Joshi, Elise Ng, Seth D. Billings, Alison W. Rebman, John N. Aucott
Automated detection of erythema migrans and other confounding skin lesions via deep learning. Comput. Biol. Medicine 105 (2019)
Michael J. Pekala, Neil Joshi, T. Y. Alvin Liu, Neil M. Bressler, Delia Cabrera DeBuc, Philippe Burlina
OCT Segmentation via Deep Learning: A Review of Recent Work. ACCV Workshops (2018)
Philippe Burlina, Neil Joshi, Neil M. Bressler
AI-based AMD Analysis: A Review of Recent Progress. ACCV Workshops (2018)
Philippe Burlina, Neil Joshi, Elise Ng, Seth Billings, Alison W. Rebman, John N. Aucott
Skin Image Analysis for Erythema Migrans Detection and Automated Lyme Disease Referral. OR 2.0/CARE/CLIP/ISIC@MICCAI (2018)
Michael J. Pekala, Neil Joshi, David E. Freund, Neil M. Bressler, Delia Cabrera DeBuc, Philippe M. Burlina
Deep Learning based Retinal OCT Segmentation. CoRR (2018)
Philippe Burlina, Katia D. Pacheco, Neil Joshi, David E. Freund, Neil M. Bressler
Comparing humans and deep learning performance for grading AMD: A study in using universal deep features and transfer learning for automated AMD analysis. Comput. Biol. Medicine 82 (2017)
Arnaldo Horta, Neil Joshi, Michael J. Pekala, Katia D. Pacheco, Jun Kong, Neil M. Bressler, David E. Freund, Philippe Burlina
A Hybrid Approach for Incorporating Deep Visual Features and Side Channel Information with Applications to AMD Detection. ICMLA (2017)
Neil Joshi, Seth Billings, Erika Schwartz, Susan C. Harvey, Philippe Burlina
Machine Learning Methods for 1D Ultrasound Breast Cancer Screening. ICMLA (2017)
Philippe Burlina, David E. Freund, Neil Joshi, Y. Wolfson, Neil M. Bressler
Detection of age-related macular degeneration via deep learning. ISBI (2016)
Neil Joshi, Ling Guan
Feature Fusion Applied to Missing Data ASR with the Combination of Recognizers. J. Signal Process. Syst. 58 (3) (2010)
Neil Joshi, Ling Guan
Combination of Recognizers and Fusion of Features Approach to Missing Data ASR Under Non-Stationary Noise Conditions. ICASSP (4) (2007)
Neil Joshi, Ling Guan
Missing data ASR with fusion of features and combination of recognizers. SLT (2006)