Neil Joshi - RankMe

20 papers A* 1C 2Journal 11Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Unconstrained Large-scale 3D Reconstruction and Rendering across Altitudes. CoRR Neil Joshi, Joshua Carney, Nathanael Kuo, Homer Li, Cheng Peng, Myron Brown
2022	J	`jnl`	TARA: Training and Representation Alteration for AI Fairness and Domain Generalization. Neural Comput. William Paul, Armin Hadzic, Neil Joshi, Fady Alajaji, Philippe Burlina
2021	J	`jnl`	AI Fairness via Domain Adaptation. CoRR Neil Joshi, Philippe M. Burlina
2020	J	`jnl`	Addressing Artificial Intelligence Bias in Retinal Disease Diagnostics. CoRR Philippe Burlina, Neil Joshi, William Paul, Katia D. Pacheco, Neil M. Bressler
2020	J	`jnl`	RENATA: REpreseNtation And Training Alteration for Bias Mitigation. CoRR William Paul, Armin Hadzic, Neil Joshi, Philippe Burlina
2019	J	`jnl`	Automated detection of erythema migrans and other confounding skin lesions via deep learning. Comput. Biol. Medicine Philippe M. Burlina, Neil Joshi, Elise Ng, Seth D. Billings, Alison W. Rebman, John N. Aucott
2019	J	`jnl`	Deep embeddings for novelty detection in myopathy. Comput. Biol. Medicine Philippe Burlina, Neil Joshi, Seth Billings, I-Jeng Wang, Jemima Albayda
2019	J	`jnl`	Deep learning based retinal OCT segmentation. Comput. Biol. Medicine Michael J. Pekala, Neil Joshi, T. Y. Alvin Liu, Neil M. Bressler, Delia Cabrera DeBuc, Philippe Burlina
2019	A*	`conf`	Where's Wally Now? Deep Generative and Discriminative Embeddings for Novelty Detection. CVPR Philippe Burlina, Neil Joshi, I-Jeng Wang
2018	—	`conf`	AI-based AMD Analysis: A Review of Recent Progress. ACCV Workshops Philippe Burlina, Neil Joshi, Neil M. Bressler
2018	J	`jnl`	Deep Learning based Retinal OCT Segmentation. CoRR Michael J. Pekala, Neil Joshi, David E. Freund, Neil M. Bressler, Delia Cabrera DeBuc, Philippe M. Burlina
2018	—	`conf`	OCT Segmentation via Deep Learning: A Review of Recent Work. ACCV Workshops Michael J. Pekala, Neil Joshi, T. Y. Alvin Liu, Neil M. Bressler, Delia Cabrera DeBuc, Philippe Burlina
2018	—	`conf`	Skin Image Analysis for Erythema Migrans Detection and Automated Lyme Disease Referral. OR 2.0/CARE/CLIP/ISIC@MICCAI Philippe Burlina, Neil Joshi, Elise Ng, Seth Billings, Alison W. Rebman, John N. Aucott
2017	C	`conf`	A Hybrid Approach for Incorporating Deep Visual Features and Side Channel Information with Applications to AMD Detection. ICMLA Arnaldo Horta, Neil Joshi, Michael J. Pekala, Katia D. Pacheco, Jun Kong, Neil M. Bressler, David E. Freund, Philippe Burlina
2017	J	`jnl`	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 Philippe Burlina, Katia D. Pacheco, Neil Joshi, David E. Freund, Neil M. Bressler
2017	C	`conf`	Machine Learning Methods for 1D Ultrasound Breast Cancer Screening. ICMLA Neil Joshi, Seth Billings, Erika Schwartz, Susan C. Harvey, Philippe Burlina
2016	—	`conf`	Detection of age-related macular degeneration via deep learning. ISBI Philippe Burlina, David E. Freund, Neil Joshi, Y. Wolfson, Neil M. Bressler
2010	J	`jnl`	Feature Fusion Applied to Missing Data ASR with the Combination of Recognizers. J. Signal Process. Syst. Neil Joshi, Ling Guan
2007	—	`conf`	Combination of Recognizers and Fusion of Features Approach to Missing Data ASR Under Non-Stationary Noise Conditions. ICASSP (4) Neil Joshi, Ling Guan
2006	—	`conf`	Missing data ASR with fusion of features and combination of recognizers. SLT Neil Joshi, Ling Guan