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2020 – today
- 2024
[i4]Charles B. Delahunt, Courosh Mehanian, Matthew P. Horning:
Driving down Poisson error can offset classification error in clinical tasks. CoRR abs/2405.06065 (2024)- 2023
- [c13]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:
Deep Learning Video Classification of Lung Ultrasound Features Associated with Pneumonia. CVPR Workshops 2023: 3103-3112 - [c12]Gary Y. Li, Li Chen, Mohsen Zahiri, Naveen Balaraju, Shubham Patil, Courosh Mehanian, Cynthia Gregory, Kenton W. Gregory, Balasundar Raju, Jochen Kruecker, Alvin Chen:
Weakly Semi-supervised Detector-based Video Classification with Temporal Context for Lung Ultrasound. ICCV (Workshops) 2023: 2475-2484 - [c11]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:
Weakly Semi-supervised Detection in Lung Ultrasound Videos. IPMI 2023: 195-207 - [c10]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:
Contrastive Self-Supervised Learning for Spatio-Temporal Analysis of Lung Ultrasound Videos. ISBI 2023: 1-5 - [c9]Menghan Yu
, Sourabh Kulhare, Courosh Mehanian, Charles B. Delahunt, Daniel E. Shea, Zohreh Laverriere, Ishan Shah, Matthew P. Horning:
How Good Are Synthetic Medical Images? An Empirical Study with Lung Ultrasound. SASHIMI@MICCAI 2023: 75-85 - [i3]Menghan Yu, Sourabh Kulhare, Courosh Mehanian, Charles B. Delahunt, Daniel E. Shea, Zohreh Laverriere, Ishan Shah, Matthew P. Horning:
How Good Are Synthetic Medical Images? An Empirical Study with Lung Ultrasound. CoRR abs/2310.03608 (2023) - 2020
- [c8]Liming Hu, Matthew P. Horning, Dipayan Banik, Olusegun Kayode Ajenifuja, Clement Akinfolarin Adepiti, Karen Yeates, Zac Mtema, Ben Wilson, Courosh Mehanian:
Deep learning-based image evaluation for cervical precancer screening with a smartphone targeting low resource settings - Engineering approach. EMBC 2020: 1944-1949 - [c7]Charles B. Delahunt, Wenbo Wang, Simon Ghionea, Andrew Miller, Austin Chan, Anjali Sehrawat, Courosh Mehanian, Michael Friend:
Algorithms to predict moisture content of grain using relative humidity time-series. GHTC 2020: 1-8
2010 – 2019
- 2019
- [c6]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:
Fully-automated patient-level malaria assessment on field-prepared thin blood film microscopy images. GHTC 2019: 1-8 - [c5]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, Benjamin K. Wilson:
Deep Learning-Based Pneumothorax Detection in Ultrasound Videos. SUSI/PIPPI@MICCAI 2019: 74-82 - [i2]Charles B. Delahunt, Courosh Mehanian, J. Nathan Kutz:
Money on the Table: Statistical information ignored by Softmax can improve classifier accuracy. CoRR abs/1901.09283 (2019) - [i1]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:
Fully-automated patient-level malaria assessment on field-prepared thin blood film microscopy images, including Supplementary Information. CoRR abs/1908.01901 (2019) - 2018
- [c4]Sourabh Kulhare, Xinliang Zheng, Courosh Mehanian, Cynthia Gregory, Meihua Zhu, Kenton W. Gregory, Hua Xie, James McAndrew Jones, Benjamin K. Wilson:
Ultrasound-Based Detection of Lung Abnormalities Using Single Shot Detection Convolutional Neural Networks. POCUS/BIVPCS/CuRIOUS/CPM@MICCAI 2018: 65-73 - 2017
- [c3]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, 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:
Computer-Automated Malaria Diagnosis and Quantitation Using Convolutional Neural Networks. ICCV Workshops 2017: 116-125 - 2015
- [c2]Charles B. Delahunt, Courosh Mehanian, Liming Hu, Shawn K. McGuire, Cary R. Champlin, Matthew P. Horning, Benjamin K. Wilson, Clay M. Thompson:
Automated microscopy and machine learning for expert-level malaria field diagnosis. GHTC 2015: 393-399 - 2013
- [c1]Luca Cazzanti, Courosh Mehanian, Julie Penzotti, Doug Scott, Oliver Downs:
Unsupervised ranking and characterization of differentiated clusters. ISI 2013: 266
1980 – 1989
- 1989
- [j1]Gail A. Carpenter, Stephen Grossberg, Courosh Mehanian:
Invariant recognition of cluttered scenes by a self-organizing ART architecture: CORT-X boundary segmentation. Neural Networks 2(3): 169-181 (1989)
Coauthor Index
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