Farhad Maleki

According to our database, Farhad Maleki authored at least 21 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Efficient Wheat Head Segmentation with Minimal Annotation: A Generative Approach.

Jaden Myers, Keyhan Najafian, Farhad Maleki, Katie L. Ovens

J. Imaging, July, 2024

Semi-Self-Supervised Domain Adaptation: Developing Deep Learning Models with Limited Annotated Data for Wheat Head Segmentation.

Alireza Ghanbari, Gholam Hassan Shirdel, Farhad Maleki

Algorithms, June, 2024

DVOS: Self-Supervised Dense-Pattern Video Object Segmentation.

Keyhan Najafian, Farhad Maleki, Ian Stavness, Lingling Jin

CoRR, 2024

Automatic segmentation of Organs at Risk in Head and Neck cancer patients from CT and MRI scans.

Sébastien Quetin, Andrew Heschl, Mauricio Murillo, Rohit Murali, Shirin A. Enger, Farhad Maleki

CoRR, 2024

Modified CycleGAN for the synthesization of samples for wheat head segmentation.

Jaden Myers, Keyhan Najafian, Farhad Maleki, Katie L. Ovens

CoRR, 2024

RIDGE: Reproducibility, Integrity, Dependability, Generalizability, and Efficiency Assessment of Medical Image Segmentation Models.

Farhad Maleki, Linda Moy, Reza Forghani, Tapotosh Ghosh, Katie L. Ovens, Steve Langer, Pouria Rouzrokh, Bardia Khosravi, Ali Ganjizadeh, Daniel I. Warren, Roxana Daneshjou, Mana Moassefi, Atlas Haddadi Avval, Susan Sotardi, Neil A. Tenenholtz, Felipe Kitamura, Timothy Kline

CoRR, 2024

2023

Deep Learning-Based Hierarchical Delineation of Kidneys, Tumors, and Cysts in CT Images.

Andrew Heschl, Hosein Beheshtifard, Phuong Thao Nguyen, Tapotosh Ghosh, Katie L. Ovens, Farhad Maleki

Proceedings of the Kidney and Kidney Tumor Segmentation - MICCAI 2023 Challenge, 2023

2022

Generalizability of Machine Learning Models: Quantitative Evaluation of Three Methodological Pitfalls.

Farhad Maleki, Katie L. Ovens, Rajiv Gupta, Caroline Reinhold, Alan Spatz, Reza Forghani

CoRR, 2022

Offer Proprietary Algorithms Still Protection of Intellectual Property in the Age of Machine Learning? - A Case Study Using Dual Energy CT Data.

Andreas K. Maier, Seung Hee Yang, Farhad Maleki, Nikesh Muthukrishnan, Reza Forghani

Proceedings of the Bildverarbeitung für die Medizin 2022, 2022

2021

Does Proprietary Software Still Offer Protection of Intellectual Property in the Age of Machine Learning? - A Case Study using Dual Energy CT Data.

Andreas K. Maier, Seung Hee Yang, Farhad Maleki, Nikesh Muthukrishnan, Reza Forghani

CoRR, 2021

Juxtapose: a gene-embedding approach for comparing co-expression networks.

Katie L. Ovens, Farhad Maleki, B. Frank Eames, Ian McQuillan

BMC Bioinform., 2021

A Semi-self-supervised Learning Approach for Wheat Head Detection using Extremely Small Number of Labeled Samples.

Keyhan Najafian, Alireza Ghanbari, Ian Stavness, Lingling Jin, Gholam Hassan Shirdel, Farhad Maleki

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

A Deep Learning-Based Pipeline for Celiac Disease Diagnosis Using Histopathological Images.

Farhad Maleki, Kevin Cote, Keyhan Najafian, Katie L. Ovens, Yan Miao, Rita Zakarian, Caroline Reinhold, Reza Forghani, Peter Savadjiev, Zu-hua Gao

Proceedings of the Computer Analysis of Images and Patterns, 2021

2019

Measuring consistency among gene set analysis methods: A systematic study.

Farhad Maleki, Katie L. Ovens, Daniel J. Hogan, Elham Rezaei, Alan M. Rosenberg, Anthony J. Kusalik

J. Bioinform. Comput. Biol., 2019

Crop Lodging Prediction From UAV-Acquired Images of Wheat and Canola Using a DCNN Augmented With Handcrafted Texture Features.

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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Method Choice in Gene Set Analysis Has Important Consequences for Analysis Outcome.

Farhad Maleki, Katie L. Ovens, Elham Rezaei, Alan M. Rosenberg, Anthony J. Kusalik

Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019), 2019

Gene Set Overlap: An Impediment to Achieving High Specificity in Over-representation Analysis.

Farhad Maleki, Anthony J. Kusalik

Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019), 2019

Gene Set Databases: A Fountain of Knowledge or a Siren Call?

Farhad Maleki, Katie L. Ovens, Ian McQuillan, Elham Rezaei, Alan M. Rosenberg, Anthony J. Kusalik

Proceedings of the 10th ACM International Conference on Bioinformatics, 2019

2018

Sample Size and Reproducibility of Gene Set Analysis.

Farhad Maleki, Katie L. Ovens, Ian McQuillan, Anthony J. Kusalik

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2010

A CA Randomizers Based on parallel CAs with Balanced Rules.

Farhad Maleki, Ali Mohades, Mohammad E. Shiri, Afsane Bijari

Proceedings of the International Conference on Computational Science, 2010

2008

An Image Encryption System by Cellular Automata with Memory.

Farhad Maleki, Ali Mohades, S. Mehdi Hashemi, Mohammad E. Shiri

Proceedings of the The Third International Conference on Availability, 2008