Missing data ASR with fusion of features and combination of recognizers. - Neil Joshi; Ling Guan (SLT, 2006)

Combination of Recognizers and Fusion of Features Approach to Missing Data ASR Under Non-Stationary Noise Conditions. - Neil Joshi; Ling Guan (ICASSP (4), 2007)

Feature Fusion Applied to Missing Data ASR with the Combination of Recognizers. - Neil Joshi; Ling Guan (J. Signal Process. Syst., 2010)

Detection of age-related macular degeneration via deep learning. - Philippe Burlina; David E. Freund; Neil Joshi; Y. Wolfson; Neil M. Bressler (ISBI, 2016)

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 (ICMLA, 2017)

Machine Learning Methods for 1D Ultrasound Breast Cancer Screening. - Neil Joshi; Seth Billings; Erika Schwartz; Susan C. Harvey; Philippe Burlina (ICMLA, 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)

AI-based AMD Analysis: A Review of Recent Progress. - Philippe Burlina; Neil Joshi; Neil M. Bressler (ACCV Workshops, 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 (ACCV Workshops, 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 (OR 2.0/CARE/CLIP/ISIC@MICCAI, 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)

Where's Wally Now? Deep Generative and Discriminative Embeddings for Novelty Detection. - Philippe Burlina; Neil Joshi; I-Jeng Wang (CVPR, 2019)

Unsupervised Deep Novelty Detection: Application To Muscle Ultrasound And Myositis Screening. - Philippe Burlina; Neil J. Joshi; Seth Billings; I-Jeng Wang; Jemima Albayda (ISBI, 2019)

Deep embeddings for novelty detection in myopathy. - Philippe Burlina; Neil Joshi; Seth Billings; I-Jeng Wang; Jemima Albayda (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 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)

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)

Addressing Artificial Intelligence Bias in Retinal Disease Diagnostics. - Philippe Burlina; Neil Joshi; William Paul; Katia D. Pacheco; Neil M. Bressler (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)

RENATA: REpreseNtation And Training Alteration for Bias Mitigation. - William Paul; Armin Hadzic; Neil Joshi; Philippe Burlina (CoRR, 2020)

AI Fairness via Domain Adaptation. - Neil Joshi; Philippe M. Burlina (CoRR, 2021)

TARA: Training and Representation Alteration for AI Fairness and Domain Generalization. - William Paul; Armin Hadzic; Neil Joshi; Fady Alajaji; Philippe Burlina (Neural Comput., 2022)

Unconstrained Large-scale 3D Reconstruction and Rendering across Altitudes. - Neil Joshi; Joshua Carney; Nathanael Kuo; Homer Li; Cheng Peng; Myron Brown (CoRR, 2025)