Courosh Mehanian

20 papers C 1Journal 6Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Beyond validation loss: Clinically-tailored optimization metrics improve a model's clinical performance. CoRR Charles B. Delahunt, Courosh Mehanian, Daniel E. Shea, Matthew P. Horning
2024	J	`jnl`	Driving down Poisson error can offset classification error in clinical tasks. CoRR Charles B. Delahunt, Courosh Mehanian, Matthew P. Horning
2024	—	`conf`	Reducing Poisson error can offset classification error: a technique to meet clinical performance requirements. ML4H@NeurIPS Charles B. Delahunt, Courosh Mehanian, Matthew P. Horning
2023	—	`conf`	Contrastive Self-Supervised Learning for Spatio-Temporal Analysis of Lung Ultrasound Videos. ISBI 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, Laurie Malia, Almaz Dessie, Joni Rabiner, Di Coneybeare, Bo Shopsin, Andrew Hersh, Cristian Madar, Jeffrey Shupp, Laura S. Johnson, Jacob Avila, Kristin Dwyer, Peter Weimersheimer, Balasundar Raju, Jochen Kruecker, Alvin Chen
2023	—	`conf`	Deep Learning Video Classification of Lung Ultrasound Features Associated with Pneumonia. CVPR Workshops 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, Atinuke Uwajeh, Adeseye M. Akinsete, Fen Wang, Matthew P. Horning
2023	—	`conf`	How Good Are Synthetic Medical Images? An Empirical Study with Lung Ultrasound. SASHIMI@MICCAI Menghan Yu, Sourabh Kulhare, Courosh Mehanian, Charles B. Delahunt, Daniel E. Shea, Zohreh Laverriere, Ishan Shah, Matthew P. Horning
2023	J	`jnl`	How Good Are Synthetic Medical Images? An Empirical Study with Lung Ultrasound. CoRR Menghan Yu, Sourabh Kulhare, Courosh Mehanian, Charles B. Delahunt, Daniel E. Shea, Zohreh Laverriere, Ishan Shah, Matthew P. Horning
2023	—	`conf`	Weakly Semi-supervised Detection in Lung Ultrasound Videos. IPMI 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, Laurie Malia, Almaz Dessie, Joni Rabiner, Di Coneybeare, Bo Shopsin, Andrew Hersh, Cristian Madar, Jeffrey Shupp, Laura S. Johnson, Jacob Avila, Kristin Dwyer, Peter Weimersheimer, Balasundar Raju, Jochen Kruecker, Alvin Chen
2023	—	`conf`	Weakly Semi-supervised Detector-based Video Classification with Temporal Context for Lung Ultrasound. ICCV (Workshops) Gary Y. Li, Li Chen, Mohsen Zahiri, Naveen Balaraju, Shubham Patil, Courosh Mehanian, Cynthia Gregory, Kenton W. Gregory, Balasundar Raju, Jochen Kruecker, Alvin Chen
2020	—	`conf`	Algorithms to predict moisture content of grain using relative humidity time-series. GHTC Charles B. Delahunt, Wenbo Wang, Simon Ghionea, Andrew Miller, Austin Chan, Anjali Sehrawat, Courosh Mehanian, Michael Friend
2020	—	`conf`	Deep learning-based image evaluation for cervical precancer screening with a smartphone targeting low resource settings - Engineering approach. EMBC Liming Hu, Matthew P. Horning, Dipayan Banik, Olusegun Kayode Ajenifuja, Clement Akinfolarin Adepiti, Karen Yeates, Zac Mtema, Ben Wilson, Courosh Mehanian
2019	—	`conf`	Deep Learning-Based Pneumothorax Detection in Ultrasound Videos. SUSI/PIPPI@MICCAI 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, Kenton W. Gregory, Ben Wilson
2019	J	`jnl`	Fully-automated patient-level malaria assessment on field-prepared thin blood film microscopy images, including Supplementary Information. CoRR 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, Stephane Proux, Dionicia Gamboa, Peter Chiodini, Jane Carter, Mehul Dhorda, David Isaboke, Bernhards Ogutu, Wellington Oyibo, Elizabeth Villasis, Kyaw Myo Tun, Christine Bachman, David Bell, Courosh Mehanian
2019	—	`conf`	Fully-automated patient-level malaria assessment on field-prepared thin blood film microscopy images. GHTC 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, Wellington Oyibo, Elizabeth Villasis, Kyaw Myo Tun, Christine Bachman, David Bell, Courosh Mehanian, Matthew P. Horning, Samantha Janko, Clay M. Thompson, Sourabh Kulhare, Liming Hu, Travis Ostbye, Grace Yun
2019	J	`jnl`	Money on the Table: Statistical information ignored by Softmax can improve classifier accuracy. CoRR Charles B. Delahunt, Courosh Mehanian, J. Nathan Kutz
2018	—	`conf`	Ultrasound-Based Detection of Lung Abnormalities Using Single Shot Detection Convolutional Neural Networks. POCUS/BIVPCS/CuRIOUS/CPM@MICCAI Sourabh Kulhare, Xinliang Zheng, Courosh Mehanian, Cynthia Gregory, Meihua Zhu, Kenton W. Gregory, Hua Xie, James McAndrew Jones, Benjamin Wilson
2017	—	`conf`	Computer-Automated Malaria Diagnosis and Quantitation Using Convolutional Neural Networks. ICCV Workshops Courosh Mehanian, Mayoore S. Jaiswal, Charles B. Delahunt, Clay Thompson, Matthew P. Horning, Liming Hu, Shawn K. McGuire, Travis Ostbye, Martha Mehanian, Ben Wilson, Cary R. Champlin, Earl Long, Stephane Proux, Dionicia Gamboa, Peter Chiodini, Jane Carter, Mehul Dhorda, David Isaboke, Bernhards Ogutu, Wellington Oyibo, Elizabeth Villasis, Kyaw Myo Tun, Christine Bachman, David Bell
2015	—	`conf`	Automated microscopy and machine learning for expert-level malaria field diagnosis. GHTC Charles B. Delahunt, Courosh Mehanian, Liming Hu, Shawn K. McGuire, Cary R. Champlin, Matthew P. Horning, Benjamin K. Wilson, Clay M. Thompson
2013	C	`conf`	Unsupervised ranking and characterization of differentiated clusters. ISI Luca Cazzanti, Courosh Mehanian, Julie Penzotti, Doug Scott, Oliver Downs
1989	J	`jnl`	Invariant recognition of cluttered scenes by a self-organizing ART architecture: CORT-X boundary segmentation. Neural Networks Gail A. Carpenter, Stephen Grossberg, Courosh Mehanian