Invariant recognition of cluttered scenes by a self-organizing ART architecture: CORT-X boundary segmentation. - Gail A. Carpenter; Stephen Grossberg; Courosh Mehanian (Neural Networks, 1989)

Unsupervised ranking and characterization of differentiated clusters. - Luca Cazzanti; Courosh Mehanian; Julie Penzotti; Doug Scott; Oliver Downs (ISI, 2013)

Automated microscopy and machine learning for expert-level malaria field diagnosis. - Charles B. Delahunt; Courosh Mehanian; Liming Hu; Shawn K. McGuire; Cary R. Champlin; Matthew P. Horning; Benjamin K. Wilson; Clay M. Thompson (GHTC, 2015)

Computer-Automated Malaria Diagnosis and Quantitation Using Convolutional Neural Networks. - Courosh Mehanian; Mayoore S. Jaiswal; Charles B. Delahunt; Clay Thompson; Matthew P. Horning; Liming Hu; Shawn K. McGuire; Travis Ostbye; Martha Mehanian; Benjamin K. Wilson; Cary R. Champlin; Earl Long; et al. (ICCV Workshops, 2017)

Ultrasound-Based Detection of Lung Abnormalities Using Single Shot Detection Convolutional Neural Networks. - Sourabh Kulhare; Xinliang Zheng; Courosh Mehanian; Cynthia Gregory; Meihua Zhu; Kenton W. Gregory; Hua Xie; James McAndrew Jones; Benjamin K. Wilson (POCUS/BIVPCS/CuRIOUS/CPM@MICCAI, 2018)

Fully-automated patient-level malaria assessment on field-prepared thin blood film microscopy images. - Charles B. Delahunt; Roman Gebrehiwot; Benjamin K. Wilson; Earl Long; Stephane Proux; Dionicia Gamboa; Peter Chiodini; Jane Carter; Mehul Dhorda; David Isaboke; Bernhards Ogutu; Mayoore S. Jaiswal; et al. (GHTC, 2019)

Deep Learning-Based Pneumothorax Detection in Ultrasound Videos. - Courosh Mehanian; Sourabh Kulhare; Rachel Millin; Xinliang Zheng; Cynthia Gregory; Meihua Zhu; Hua Xie; James McAndrew Jones; Jack Lazar; Amber Halse; Todd Graham; Mike Stone; et al. (SUSI/PIPPI@MICCAI, 2019)

Money on the Table: Statistical information ignored by Softmax can improve classifier accuracy. - Charles B. Delahunt; Courosh Mehanian; J. Nathan Kutz (CoRR, 2019)

Fully-automated patient-level malaria assessment on field-prepared thin blood film microscopy images, including Supplementary Information. - Charles B. Delahunt; Mayoore S. Jaiswal; Matthew P. Horning; Samantha Janko; Clay M. Thompson; Sourabh Kulhare; Liming Hu; Travis Ostbye; Grace Yun; Roman Gebrehiwot; Benjamin K. Wilson; Earl Long; et al. (CoRR, 2019)

Deep learning-based image evaluation for cervical precancer screening with a smartphone targeting low resource settings - Engineering approach. - Liming Hu; Matthew P. Horning; Dipayan Banik; Olusegun Kayode Ajenifuja; Clement Akinfolarin Adepiti; Karen Yeates; Zac Mtema; Ben Wilson; Courosh Mehanian (EMBC, 2020)

Algorithms to predict moisture content of grain using relative humidity time-series. - Charles B. Delahunt; Wenbo Wang; Simon Ghionea; Andrew Miller; Austin Chan; Anjali Sehrawat; Courosh Mehanian; Michael Friend (GHTC, 2020)

Deep Learning Video Classification of Lung Ultrasound Features Associated with Pneumonia. - Daniel E. Shea; Sourabh Kulhare; Rachel Millin; Zohreh Laverriere; Courosh Mehanian; Charles B. Delahunt; Dipayan Banik; Xinliang Zheng; Meihua Zhu; Ye Ji; Travis Ostbye; Martha-Marie S. Mehanian; et al. (CVPR Workshops, 2023)

Weakly Semi-supervised Detector-based Video Classification with Temporal Context for Lung Ultrasound. - Gary Y. Li; Li Chen; Mohsen Zahiri; Naveen Balaraju; Shubham Patil; Courosh Mehanian; Cynthia Gregory; Kenton W. Gregory; Balasundar Raju; Jochen Kruecker; Alvin Chen (ICCV (Workshops), 2023)

Weakly Semi-supervised Detection in Lung Ultrasound Videos. - Jiahong Ouyang; Li Chen; Gary Y. Li; Naveen Balaraju; Shubham Patil; Courosh Mehanian; Sourabh Kulhare; Rachel Millin; Kenton W. Gregory; Cynthia Gregory; Meihua Zhu; David O. Kessler; et al. (IPMI, 2023)

Contrastive Self-Supervised Learning for Spatio-Temporal Analysis of Lung Ultrasound Videos. - Li Chen; Jonathan Rubin; Jiahong Ouyang; Naveen Balaraju; Shubham Patil; Courosh Mehanian; Sourabh Kulhare; Rachel Millin; Kenton W. Gregory; Cynthia Gregory; Meihua Zhu; David O. Kessler; et al. (ISBI, 2023)

How Good Are Synthetic Medical Images? An Empirical Study with Lung Ultrasound. - Menghan Yu; Sourabh Kulhare; Courosh Mehanian; Charles B. Delahunt; Daniel E. Shea; Zohreh Laverriere; Ishan Shah; Matthew P. Horning (SASHIMI@MICCAI, 2023)

Reducing Poisson error can offset classification error: a technique to meet clinical performance requirements. - Charles B. Delahunt; Courosh Mehanian; Matthew P. Horning (ML4H@NeurIPS, 2024)

Driving down Poisson error can offset classification error in clinical tasks. - Charles B. Delahunt; Courosh Mehanian; Matthew P. Horning (CoRR, 2024)