Farhad Maleki

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 20

Top Topics

Disease Diagnosis

Protection Of Intellectual Property

Machine Learning

Top Venues

Bildverarbeitung für die Medizin

Publications

Jaden Myers, Keyhan Najafian, Farhad Maleki, Katie L. Ovens
Modified CycleGAN for the synthesization of samples for wheat head segmentation. CoRR (2024)
Keyhan Najafian, Farhad Maleki, Ian Stavness, Lingling Jin
DVOS: Self-Supervised Dense-Pattern Video Object Segmentation. CoRR (2024)
Sébastien Quetin, Andrew Heschl, Mauricio Murillo, Rohit Murali, Shirin A. Enger, Farhad Maleki
Automatic segmentation of Organs at Risk in Head and Neck cancer patients from CT and MRI scans. CoRR (2024)
Alireza Ghanbari, Gholam Hassan Shirdel, Farhad Maleki
Semi-Self-Supervised Domain Adaptation: Developing Deep Learning Models with Limited Annotated Data for Wheat Head Segmentation. CoRR (2024)
Farhad Maleki, Linda Moy, Reza Forghani, Tapotosh Ghosh, Katie L. Ovens, Steve Langer, Pouria Rouzrokh, Bardia Khosravi, Ali Ganjizadeh, Daniel Warren, Roxana Daneshjou, Mana Moassefi, Atlas Haddadi Avval, Susan Sotardi, Neil A. Tenenholtz, Felipe Kitamura, Timothy Kline
RIDGE: Reproducibility, Integrity, Dependability, Generalizability, and Efficiency Assessment of Medical Image Segmentation Models. CoRR (2024)
Alireza Ghanbari, Gholam Hassan Shirdel, Farhad Maleki
Semi-Self-Supervised Domain Adaptation: Developing Deep Learning Models with Limited Annotated Data for Wheat Head Segmentation. Algorithms 17 (6) (2024)
Andrew Heschl, Hosein Beheshtifard, Phuong Thao Nguyen, Tapotosh Ghosh, Katie L. Ovens, Farhad Maleki
Deep Learning-Based Hierarchical Delineation of Kidneys, Tumors, and Cysts in CT Images. KiTS@MICCAI (2023)
Farhad Maleki, Katie L. Ovens, Rajiv Gupta, Caroline Reinhold, Alan Spatz, Reza Forghani
Generalizability of Machine Learning Models: Quantitative Evaluation of Three Methodological Pitfalls. CoRR (2022)
Andreas K. Maier, Seung Hee Yang, Farhad Maleki, Nikesh Muthukrishnan, Reza Forghani
Offer Proprietary Algorithms Still Protection of Intellectual Property in the Age of Machine Learning? - A Case Study Using Dual Energy CT Data. Bildverarbeitung für die Medizin (2022)
Andreas K. Maier, Seung Hee Yang, Farhad Maleki, Nikesh Muthukrishnan, Reza Forghani
Does Proprietary Software Still Offer Protection of Intellectual Property in the Age of Machine Learning? - A Case Study using Dual Energy CT Data. CoRR (2021)
Katie L. Ovens, Farhad Maleki, B. Frank Eames, Ian McQuillan
Juxtapose: a gene-embedding approach for comparing co-expression networks. BMC Bioinform. 22 (1) (2021)
Keyhan Najafian, Alireza Ghanbari, Ian Stavness, Lingling Jin, Gholam Hassan Shirdel, Farhad Maleki
A Semi-self-supervised Learning Approach for Wheat Head Detection using Extremely Small Number of Labeled Samples. ICCVW (2021)
Farhad Maleki, Kevin Cote, Keyhan Najafian, Katie L. Ovens, Yan Miao, Rita Zakarian, Caroline Reinhold, Reza Forghani, Peter Savadjiev, Zu-hua Gao
A Deep Learning-Based Pipeline for Celiac Disease Diagnosis Using Histopathological Images. CAIP (1) (2021)
Farhad Maleki, Anthony J. Kusalik
Gene Set Overlap: An Impediment to Achieving High Specificity in Over-representation Analysis. BIOINFORMATICS (2019)
Farhad Maleki, Katie L. Ovens, Ian McQuillan, Elham Rezaei, Alan M. Rosenberg, Anthony J. Kusalik
Gene Set Databases: A Fountain of Knowledge or a Siren Call? BCB (2019)
Sara Mardanisamani, Farhad Maleki, Sara Hosseinzadeh Kassani, Sajith Rajapaksa, Hema Sudhakar Duddu, Menglu Wang, Steve Shirtliffe, Seungbum Ryu, Anique Josuttes, Ti Zhang, Sally Vail, Curtis Pozniak, Isobel Parkin, Ian Stavness, Mark G. Eramian
Crop Lodging Prediction from UAV-Acquired Images of Wheat and Canola using a DCNN Augmented with Handcrafted Texture Features. CoRR (2019)
Farhad Maleki, Katie L. Ovens, Elham Rezaei, Alan M. Rosenberg, Anthony J. Kusalik
Method Choice in Gene Set Analysis Has Important Consequences for Analysis Outcome. BIOINFORMATICS (2019)
Farhad Maleki, Katie L. Ovens, Daniel J. Hogan, Elham Rezaei, Alan M. Rosenberg, Anthony J. Kusalik
Measuring consistency among gene set analysis methods: A systematic study. J. Bioinform. Comput. Biol. 17 (5) (2019)
Sara Mardanisamani, Farhad Maleki, Sara Hosseinzadeh Kassani, Sajith Rajapaksa, Hema Sudhakar Duddu, Menglu Wang, Steve Shirtliffe, Seungbum Ryu, Anique Josuttes, Ti Zhang, Sally Vail, Curtis Pozniak, Isobel Parkin, Ian Stavness, Mark G. Eramian
Crop Lodging Prediction From UAV-Acquired Images of Wheat and Canola Using a DCNN Augmented With Handcrafted Texture Features. CVPR Workshops (2019)
Farhad Maleki, Katie L. Ovens, Ian McQuillan, Anthony J. Kusalik
Sample Size and Reproducibility of Gene Set Analysis. BIBM (2018)
Farhad Maleki, Ali Mohades, Mohammad E. Shiri, Afsane Bijari
A CA Randomizers Based on parallel CAs with Balanced Rules. ICCS (1) (2010)
Farhad Maleki, Ali Mohades, S. Mehdi Hashemi, Mohammad E. Shiri
An Image Encryption System by Cellular Automata with Memory. ARES (2008)