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2020 – today
- 2025
[i10]Sébastien Quetin, Tapotosh Ghosh, Farhad Maleki:
Should we pre-train a decoder in contrastive learning for dense prediction tasks? CoRR abs/2503.17526 (2025)- 2024
- [j4]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): 267 (2024) - [j3]Jaden Myers, Keyhan Najafian, Farhad Maleki, Katie L. Ovens:
Efficient Wheat Head Segmentation with Minimal Annotation: A Generative Approach. J. Imaging 10(7): 152 (2024) - [i9]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:
RIDGE: Reproducibility, Integrity, Dependability, Generalizability, and Efficiency Assessment of Medical Image Segmentation Models. CoRR abs/2401.08847 (2024) - [i8]Jaden Myers, Keyhan Najafian, Farhad Maleki, Katie L. Ovens:
Modified CycleGAN for the synthesization of samples for wheat head segmentation. CoRR abs/2402.15135 (2024) - [i7]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 abs/2405.07157 (2024) - [i6]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 abs/2405.10833 (2024) - [i5]Keyhan Najafian, Farhad Maleki, Ian Stavness, Lingling Jin:
DVOS: Self-Supervised Dense-Pattern Video Object Segmentation. CoRR abs/2406.05131 (2024) - [i4]Andrew Heschl, Mauricio Murillo, Keyhan Najafian, Farhad Maleki:
SynthSet: Generative Diffusion Model for Semantic Segmentation in Precision Agriculture. CoRR abs/2411.03505 (2024) - 2023
- [c11]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: 97-106 - 2022
- [c10]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: 345-350 - [i3]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 abs/2202.01337 (2022) - 2021
- [j2]Katie L. Ovens, Farhad Maleki, B. Frank Eames, Ian McQuillan:
Juxtapose: a gene-embedding approach for comparing co-expression networks. BMC Bioinform. 22(1): 125 (2021) - [c9]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: 206-214 - [c8]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: 1342-1351 - [i2]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 abs/2112.03678 (2021)
2010 – 2019
- 2019
- [j1]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): 1940010:1-1940010:18 (2019) - [c7]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: 269-278 - [c6]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: 43-54 - [c5]Farhad Maleki, Anthony J. Kusalik:
Gene Set Overlap: An Impediment to Achieving High Specificity in Over-representation Analysis. BIOINFORMATICS 2019: 182-193 - [c4]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: 2657-2664 - [i1]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 abs/1906.07771 (2019) - 2018
- [c3]Farhad Maleki, Katie L. Ovens, Ian McQuillan, Anthony J. Kusalik:
Sample Size and Reproducibility of Gene Set Analysis. BIBM 2018: 122-129 - 2010
- [c2]Farhad Maleki, Ali Mohades, Mohammad E. Shiri, Afsane Bijari:
A CA Randomizers Based on parallel CAs with Balanced Rules. ICCS 2010: 417-425
2000 – 2009
- 2008
- [c1]Farhad Maleki, Ali Mohades, S. Mehdi Hashemi, Mohammad E. Shiri:
An Image Encryption System by Cellular Automata with Memory. ARES 2008: 1266-1271
Coauthor Index
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