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2020 – today
- 2024
[j78]Zijun Gao
, Shuyang Cheng, Emily Wittrup, Jonathan Gryak, Kayvan Najarian:
Learning using privileged information with logistic regression on acute respiratory distress syndrome detection. Artif. Intell. Medicine 156: 102947 (2024)- [j77]Flora Rajaei, Peter Toogood, Renju Jacob, Mason Baber, Mya Gough, Harm Derksen, Emily Wittrup, Kayvan Najarian:
Identifying selective PDHK inhibitors using coupled tensor matrix completion and experimental validation. Discov. Artif. Intell. 4(1): 89 (2024) - [j76]Yufeng Zhang, Jessica R. Golbus, Emily Wittrup, Keith D. Aaronson, Kayvan Najarian:
Enhancing heart failure treatment decisions: interpretable machine learning models for advanced therapy eligibility prediction using EHR data. BMC Medical Informatics Decis. Mak. 24(1): 53 (2024) - [j75]Ali Zare, Emily Wittrup, Kayvan Najarian:
Mechanistic Assessment of Cardiovascular State Informed by Vibroacoustic Sensors. Sensors 24(7): 2189 (2024) - [c133]Lingrui Cai, Ryan W. Stidham, Emily Wittrup, Kayvan Najarian:
Adapting Segment Anything Model for Ulcer Segmentation in Inflammatory Bowel Disease. EMBC 2024: 1-4 - [c132]Matthew Hodgman, Emily Wittrup, Kayvan Najarian:
Learning Physiological Mechanisms that Predict Adverse Cardiovascular Events in Intensive Care Patients with Chronic Heart Disease. EMBC 2024: 1-4 - [c131]Yufeng Zhang, Emily Wittrup, Kayvan Najarian:
CoxFNN: Interpretable machine learning method for survival analysis. EMBC 2024: 1-5 - 2023
- [j74]Cristian Minoccheri, Olivia Alge, Jonathan Gryak, Kayvan Najarian, Harm Derksen:
Quadratic Multilinear Discriminant Analysis for Tensorial Data Classification. Algorithms 16(2): 104 (2023) - [j73]Heming Yao, Harm Derksen, Jessica R. Golbus, Justin Zhang, Keith D. Aaronson, Jonathan Gryak, Kayvan Najarian:
A Novel Tropical Geometry-Based Interpretable Machine Learning Method: Pilot Application to Delivery of Advanced Heart Failure Therapies. IEEE J. Biomed. Health Informatics 27(1): 239-250 (2023) - [c130]Lingrui Cai, Najla Al Turkestani, Lucia H. S. Cevidanes, Jonas Bianchi, Marcela Gurgel, Kayvan Najarian, Reza Soroushmehr:
Integrative risk predictors of temporomandibular joint osteoarthritis progression. Image Processing 2023 - [i32]Jonathan Gryak, Kayvan Najarian, Harm Derksen:
Tensor Denoising via Amplification and Stable Rank Methods. CoRR abs/2301.03761 (2023) - 2022
- [j72]Zijun Gao, Lu Wang, Reza Soroushmehr, Alexander Wood, Jonathan Gryak, Brahmajee K. Nallamothu, Kayvan Najarian:
Vessel segmentation for X-ray coronary angiography using ensemble methods with deep learning and filter-based features. BMC Medical Imaging 22(1): 10 (2022) - [j71]Negar Farzaneh, Erica B. Stein, Reza Soroushmehr, Jonathan Gryak, Kayvan Najarian:
A deep learning framework for automated detection and quantitative assessment of liver trauma. BMC Medical Imaging 22(1): 39 (2022) - [j70]Cristian Minoccheri, Craig A. Williamson, Mark Hemmila, Kevin Ward, Erica B. Stein, Jonathan Gryak, Kayvan Najarian:
An interpretable neural network for outcome prediction in traumatic brain injury. BMC Medical Informatics Decis. Mak. 22(1): 203 (2022) - [i31]Justin Zhang, Deborah Lee, Kylie Jungles, Diane Shaltis, Kayvan Najarian, Rajan Ravikumar, Georgiana Sanders, Jonathan Gryak:
Prediction of Oral Food Challenges via Machine Learning. CoRR abs/2208.08268 (2022) - 2021
- [j69]Larry Hernandez, Renaid B. Kim, Neriman Tokcan, Harm Derksen, Ben E. Biesterveld, Alfred Croteau, Aaron M. Williams, Michael Mathis, Kayvan Najarian, Jonathan Gryak:
Multimodal tensor-based method for integrative and continuous patient monitoring during postoperative cardiac care. Artif. Intell. Medicine 113: 102032 (2021) - [j68]Maryam Bagherian, Elyas Sabeti, Kai Wang, Maureen A. Sartor, Zaneta Nikolovska-Coleska, Kayvan Najarian:
Machine learning approaches and databases for prediction of drug-target interaction: a survey paper. Briefings Bioinform. 22(1): 247-269 (2021) - [j67]Maryam Bagherian, Elyas Sabeti, Kai Wang, Maureen A. Sartor, Zaneta Nikolovska-Coleska, Kayvan Najarian:
Erratum to: Machine learning approaches and databases for prediction of drug-target interaction: a survey paper. Briefings Bioinform. 22(1): 606 (2021) - [j66]Maryam Bagherian, Renaid B. Kim, Cheng Jiang, Maureen A. Sartor, Harm Derksen, Kayvan Najarian:
Coupled matrix-matrix and coupled tensor-matrix completion methods for predicting drug-target interactions. Briefings Bioinform. 22(2): 2161-2171 (2021) - [j65]Zhi Li, Harm Derksen, Jonathan Gryak, Cheng Jiang, Zijun Gao, Winston Zhang, Hamid Ghanbari, Pujitha Gunaratne, Kayvan Najarian:
Prediction of cardiac arrhythmia using deterministic probabilistic finite-state automata. Biomed. Signal Process. Control. 63: 102200 (2021) - [j64]Narathip Reamaroon, Michael W. Sjoding, Jonathan Gryak, Brian D. Athey, Kayvan Najarian, Harm Derksen:
Automated detection of acute respiratory distress syndrome from chest X-Rays using Directionality Measure and deep learning features. Comput. Biol. Medicine 134: 104463 (2021) - [j63]Alexander Wood, Kayvan Najarian, Delaram Kahrobaei:
Homomorphic Encryption for Machine Learning in Medicine and Bioinformatics. ACM Comput. Surv. 53(4): 70:1-70:35 (2021) - [j62]Julie Wang, Alexander Wood, Chao Gao, Kayvan Najarian, Jonathan Gryak:
Automated Spleen Injury Detection Using 3D Active Contours and Machine Learning. Entropy 23(4): 382 (2021) - [j61]Heming Yao, Ryan W. Stidham, Zijun Gao, Jonathan Gryak, Kayvan Najarian:
Motion-based camera localization system in colonoscopy videos. Medical Image Anal. 73: 102180 (2021) - [j60]Zhi Li, Kevin M. Wheelock, Sangeeta Lathkar-Pradhan, Hakan Oral, Daniel J. Clauw, Pujitha Gunaratne, Jonathan Gryak, Kayvan Najarian, Brahmajee K. Nallamothu, Hamid Ghanbari:
Predicting atrial fibrillation episodes with rapid ventricular rates associated with low levels of activity. BMC Medical Informatics Decis. Mak. 21(1): 364 (2021) - [j59]Negar Farzaneh, Craig A. Williamson, Jonathan Gryak, Kayvan Najarian:
A hierarchical expert-guided machine learning framework for clinical decision support systems: an application to traumatic brain injury prognostication. npj Digit. Medicine 4 (2021) - [j58]Neriman Tokcan, Jonathan Gryak, Kayvan Najarian, Harm Derksen:
Algebraic Methods for Tensor Data. SIAM J. Appl. Algebra Geom. 5(1): 1-27 (2021) - [j57]Elyas Sabeti, Joshua Drews, Narathip Reamaroon, Elisa Warner, Michael W. Sjoding, Jonathan Gryak, Kayvan Najarian:
Learning Using Partially Available Privileged Information and Label Uncertainty: Application in Detection of Acute Respiratory Distress Syndrome. IEEE J. Biomed. Health Informatics 25(3): 784-796 (2021) - [c129]Winston Zhang, Jonas Bianchi, Najla Al Turkestani, Celia Le, Romain Deleat-Besson, Antonio C. Ruellas, Lucia H. S. Cevidanes, Marilia Yatabe, João Roberto Gonçalves, Erika Benavides, Fabiana Soki, Juan Prieto, Beatriz Paniagua, Kayvan Najarian, Jonathan Gryak, Reza Soroushmehr:
Temporomandibular Joint Osteoarthritis Diagnosis Using Privileged Learning of Protein Markers. EMBC 2021: 1810-1813 - [c128]Romain Deleat-Besson, Celia Le, Najla Al Turkestani, Winston Zhang, Maxime Dumont, Serge Brosset, Juan Carlos Prieto, Lucia H. S. Cevidanes, Jonas Bianchi, Antonio C. Ruellas, Marcela Gurgel, Camila Massaro, Aron Aliaga Del Castillo, Marcos Ioshida, Marilia Yatabe, Erika Benavides, Hector Rios, Fabiana Soki, Gisele Neiva, Juan Fernando Aristizabal, Diego Rey, Maria Antonia Alvarez, Kayvan Najarian, Jonathan Gryak, Martin Styner, Jean-Christophe Fillion-Robin, Beatriz Paniagua, Reza Soroushmehr:
Automatic Segmentation of Dental Root Canal and Merging with Crown Shape. EMBC 2021: 2948-2951 - [c127]Celia Le, Romain Deleat-Besson, Juan Carlos Prieto, Serge Brosset, Maxime Dumont, Winston Zhang, Lucia H. S. Cevidanes, Jonas Bianchi, Antonio C. Ruellas, Liliane R. Gomes, Marcela Gurgel, Camila Massaro, Aron Aliaga Del Castillo, Marilia Yatabe, Erika Benavides, Fabiana Soki, Najla Al Turkestani, Karine Evangelista, João Roberto Gonçalves, Jose Valladares-Neto, Maria Alves Garcia Silva, Cauby Maia Chaves Junior, Fábio Costa, Daniela Gamba Garib, Heesoo Oh, Jonathan Gryak, Martin Styner, Jean-Christophe Fillion-Robin, Beatriz Paniagua, Kayvan Najarian, Reza Soroushmehr:
Automatic Segmentation of Mandibular Ramus and Condyles. EMBC 2021: 2952-2955 - [c126]Serge Brosset, Maxime Dumont, Lucia H. S. Cevidanes, Reza Soroushmehr, Jonas Bianchi, Marcela Lima Gurgel, Romain Deleat-Besson, Celia Le, Antonio C. Ruellas, Marilia Yatabe, Liliane R. Gomes, João Roberto Gonçalves, Kayvan Najarian, Jonathan Gryak, Beatriz Paniagua, Martin Styner, Juan Carlos Prieto:
Web infrastructure for data management, storage and computation. Biomedical Applications in Molecular, Structural, and Functional Imaging 2021 - [c125]Winston Zhang, Najla Al Turkestani, Jonas Bianchi, Celia Le, Romain Deleat-Besson, Antonio C. Ruellas, Lucia H. S. Cevidanes, Marilia Yatabe, João Roberto Gonçalves, Erika Benavides, Fabiana Soki, Juan Prieto, Beatriz Paniagua, Jonathan Gryak, Kayvan Najarian, Reza Soroushmehr:
Feature Selection for Privileged Modalities in Disease Classification. ML-CDS@MICCAI 2021: 69-80 - [c124]Romain Deleat-Besson, Celia Le, Winston Zhang, Najla Al Turkestani, Lucia H. S. Cevidanes, Jonas Bianchi, Antonio C. Ruellas, Marcela Gurgel, Camila Massaro, Aron Aliaga Del Castillo, Marcos Ioshida, Marilia Yatabe, Erika Benavides, Hector Rios, Fabiana Soki, Gisele Neiva, Kayvan Najarian, Jonathan Gryak, Martin Styner, Juan Fernando Aristizabal, Diego Rey, Maria Antonia Alvarez, Loris Bert, Reza Soroushmehr, Juan Prieto:
Merging and Annotating Teeth and Roots from Automated Segmentation of Multimodal Images. ML-CDS@MICCAI 2021: 81-92 - [i30]Heming Yao, Harm Derksen, Jessica R. Golbus, Justin Zhang, Keith D. Aaronson, Jonathan Gryak, Kayvan Najarian:
A Novel Tropical Geometry-based Interpretable Machine Learning Method: Application in Prognosis of Advanced Heart Failure. CoRR abs/2112.05071 (2021) - 2020
- [j56]Heming Yao, Craig A. Williamson, Jonathan Gryak, Kayvan Najarian:
Automated hematoma segmentation and outcome prediction for patients with traumatic brain injury. Artif. Intell. Medicine 107: 101910 (2020) - [j55]Narathip Reamaroon, Michael W. Sjoding, Harm Derksen, Elyas Sabeti, Jonathan Gryak, Ryan P. Barbaro, Brian D. Athey, Kayvan Najarian:
Robust segmentation of lung in chest x-ray: applications in analysis of acute respiratory distress syndrome. BMC Medical Imaging 20(1): 116 (2020) - [j54]Renaid B. Kim, Jonathan Gryak, Abinash Mishra, Can Cui, S. M. Reza Soroushmehr, Kayvan Najarian, James S. Wrobel:
Utilization of smartphone and tablet camera photographs to predict healing of diabetes-related foot ulcers. Comput. Biol. Medicine 126: 104042 (2020) - [j53]Fatima Zare, Sardar Ansari, Kayvan Najarian, Sheida Nabavi:
Preprocessing Sequence Coverage Data for More Precise Detection of Copy Number Variations. IEEE ACM Trans. Comput. Biol. Bioinform. 17(3): 868-876 (2020) - [c123]Olivia Alge, Lu Lu, Zhi Li, Yingqi Hua, Jonathan Gryak, Kayvan Najarian:
Automated Classification of Osteosarcoma and Benign Tumors using RNA-seq and Plain X-ray. EMBC 2020: 1165-1168 - [c122]Serge Brosset, Maxime Dumont, Jonas Bianchi, Antonio C. Ruellas, Lucia H. S. Cevidanes, Marilia Yatabe, João Roberto Gonçalves, Erika Benavides, Fabiana Soki, Beatriz Paniagua, Juan Prieto, Kayvan Najarian, Jonathan Gryak, Reza Soroushmehr:
3D Auto-Segmentation of Mandibular Condyles. EMBC 2020: 1270-1273 - [c121]Olivia Alge, S. M. Reza Soroushmehr, Jonathan Gryak, Anna Kratz, Kayvan Najarian:
Predicting Poor Sleep Quality in Fibromyalgia with Wrist Sensors. EMBC 2020: 4290-4293 - [c120]Maxime Dumont, Juan-Carlos Prieto, Serge Brosset, Lucia H. S. Cevidanes, Jonas Bianchi, Antonio C. Ruellas, Marcela Gurgel, Camila Massaro, Aron Aliaga Del Castillo, Marcos Ioshida, Marilia Yatabe, Erika Benavides, Hector Rios, Fabiana Soki, Gisele Neiva, Juan Fernando Aristizabal, Diego Rey, Maria Antonia Alvarez, Kayvan Najarian, Jonathan Gryak, Martin Styner, Jean-Christophe Fillion-Robin, Beatriz Paniagua, Reza Soroushmehr:
Patient Specific Classification of Dental Root Canal and Crown Shape. ShapeMI@MICCAI 2020: 145-153 - [i29]Neriman Tokcan, Jonathan Gryak, Kayvan Najarian, Harm Derksen:
Algebraic Methods for Tensor Data. CoRR abs/2005.12988 (2020) - [i28]Karl Thurnhofer-Hemsi, Ezequiel López-Rubio, Miguel A. Molina-Cabello, Kayvan Najarian:
Radial basis function kernel optimization for Support Vector Machine classifiers. CoRR abs/2007.08233 (2020) - [i27]Heming Yao, Ryan W. Stidham, Jonathan Gryak, Kayvan Najarian:
Motion-based Camera Localization System in Colonoscopy Videos. CoRR abs/2012.01690 (2020)
2010 – 2019
- 2019
- [j52]Mohsen Hajabdollahi, Reza Esfandiarpoor, Pejman Khadivi, S. M. Reza Soroushmehr, Nader Karimi, Kayvan Najarian, Shadrokh Samavi:
Segmentation of bleeding regions in wireless capsule endoscopy for detection of informative frames. Biomed. Signal Process. Control. 53 (2019) - [j51]Alexander Wood, Vladimir Shpilrain, Kayvan Najarian, Delaram Kahrobaei:
Private naive bayes classification of personal biomedical data: Application in cancer data analysis. Comput. Biol. Medicine 105: 144-150 (2019) - [j50]Maryam Karimi, Najmeh Soltanian, Shadrokh Samavi, Kayvan Najarian, Nader Karimi, S. M. Reza Soroushmehr:
Blind stereo image quality assessment inspired by brain sensory-motor fusion. Digit. Signal Process. 91: 91-104 (2019) - [j49]Elyas Sabeti, Jonathan Gryak, Harm Derksen, Craig Biwer, Sardar Ansari, Howard Isenstein, Anna Kratz, Kayvan Najarian:
Learning Using Concave and Convex Kernels: Applications in Predicting Quality of Sleep and Level of Fatigue in Fibromyalgia. Entropy 21(5): 442 (2019) - [j48]Zohreh HosseinKhani, Mohsen Hajabdollahi, Nader Karimi, Kayvan Najarian, Ali Emami, Shahram Shirani, Shadrokh Samavi, Sayed Mohammad Reza Soroushmehr:
Real-time removal of impulse noise from MR images for radiosurgery applications. Int. J. Circuit Theory Appl. 47(3): 406-426 (2019) - [j47]Hoda Mohaghegh, Nader Karimi, S. M. Reza Soroushmehr, Shadrokh Samavi, Kayvan Najarian:
Aggregation of Rich Depth-Aware Features in a Modified Stacked Generalization Model for Single Image Depth Estimation. IEEE Trans. Circuits Syst. Video Technol. 29(3): 683-697 (2019) - [j46]Narathip Reamaroon, Michael W. Sjoding, Kaiwen Lin, Theodore J. Iwashyna, Kayvan Najarian:
Accounting for Label Uncertainty in Machine Learning for Detection of Acute Respiratory Distress Syndrome. IEEE J. Biomed. Health Informatics 23(1): 407-415 (2019) - [c119]Lu Wang, Sardar Ansari, Kayvan Najarian, Kevin R. Ward, Kenn R. Oldham:
Decompensation Prediction in Hemodialysis by a Feedback Model as Identified by Miniature Wearable Sensors. AIM 2019: 133-138 - [c118]Heming Yao, Keith D. Aaronson, Lu Lu, Jonathan Gryak, Kayvan Najarian, Jessica R. Golbus:
Using a Fuzzy Neural Network in Clinical Decision Support for Patients with Advanced Heart Failure. BIBM 2019: 995-999 - [c117]Cheng Jiang, Jie Cao, Craig A. Williamson, Negar Farzaneh, Venkatakrishna Rajajee, Jonathan Gryak, Kayvan Najarian, S. M. Reza Soroushmehr:
Midline Shift vs. Mid-Surface Shift: Correlation with Outcome of Traumatic Brain Injuries. BIBM 2019: 1083-1086 - [c116]Alexey Gribov, Kelsey Horan, Jonathan Gryak, Kayvan Najarian, Vladimir Shpilrain, S. M. Reza Soroushmehr, Delaram Kahrobaei:
Medical Diagnostics Based on Encrypted Medical Data. BICT 2019: 98-111 - [c115]Behzad Ghazanfari, Fatemeh Afghah, Kayvan Najarian, Sajad Mousavi, Jonathan Gryak, James Todd:
An Unsupervised Feature Learning Approach to Reduce False Alarm Rate in ICUs. EMBC 2019: 349-353 - [c114]Mohsen Hajabdollahi, Reza Esfandiarpoor, Kayvan Najarian, Nader Karimi, Shadrokh Samavi, S. M. Reza Soroushmehr:
Hierarchical Pruning for Simplification of Convolutional Neural Networks in Diabetic Retinopathy Classification. EMBC 2019: 970-973 - [c113]Can Cui, Karl Thurnhofer-Hemsi, Reza Soroushmehr, Abinash Mishra, Jonathan Gryak, Enrique Domínguez, Kayvan Najarian, Ezequiel López-Rubio:
Diabetic Wound Segmentation using Convolutional Neural Networks. EMBC 2019: 1002-1005 - [c112]Safiyeh Rezaei, Ali Emami, Hamidreza Zarrabi, Shima Rafiei, Kayvan Najarian, Nader Karimi, Shadrokh Samavi, S. M. Reza Soroushmehr:
Gland Segmentation in Histopathology Images Using Deep Networks and Handcrafted Features. EMBC 2019: 1031-1034 - [c111]Zhi Li, Harm Derksen, Jonathan Gryak, Mohsen Hooshmand, Alexander Wood, Hamid Ghanbari, Pujitha Gunaratne, Kayvan Najarian:
Markov Models for Detection of Ventricular Arrhythmia. EMBC 2019: 1488-1491 - [c110]Elyas Sabeti, Joshua Drews, Narathip Reamaroon, Jonathan Gryak, Michael W. Sjoding, Kayvan Najarian:
Detection of Acute Respiratory Distress Syndrome by Incorporation of Label Uncertainty and Partially Available Privileged Information. EMBC 2019: 1717-1720 - [c109]Heming Yao, Ryan W. Stidham, Reza Soroushmehr, Jonathan Gryak, Kayvan Najarian:
Automated Detection of Non-Informative Frames for Colonoscopy Through a Combination of Deep Learning and Feature Extraction. EMBC 2019: 2402-2406 - [c108]S. M. Reza Soroushmehr, Krishna Rajajee, Craig A. Williamson, Jonathan Gryak, Kayvan Najarian, Kevin Ward, Mohamad Hakam Tiba:
Automated Optic Nerve Sheath Diameter Measurement Using Super-pixel Analysis. EMBC 2019: 2793-2796 - [c107]Shima Rafiei, Nader Karimi, Behzad Mirmahboub, Kayvan Najarian, Banafsheh Felfeliyan, Shadrokh Samavi, S. M. Reza Soroushmehr:
Liver Segmentation in Abdominal CT Images Using Probabilistic Atlas and Adaptive 3D Region Growing. EMBC 2019: 6310-6313 - [c106]Zahra Sobhaninia, Shima Rafiei, Ali Emami, Nader Karimi, Kayvan Najarian, Shadrokh Samavi, S. M. Reza Soroushmehr:
Fetal Ultrasound Image Segmentation for Measuring Biometric Parameters Using Multi-Task Deep Learning. EMBC 2019: 6545-6548 - [c105]Mahnoosh Bagheri, Majid Mohrekesh, Milad Tehrani, Kayvan Najarian, Nader Karimi, Shadrokh Samavi, S. M. Reza Soroushmehr:
Deep Neural Network based Polyp Segmentation in Colonoscopy Images using a Combination of Color Spaces. EMBC 2019: 6742-6745 - [c104]Mohsen Hajabdollahi, Reza Esfandiarpoor, Kayvan Najarian, Nader Karimi, Shadrokh Samavi, S. M. Reza Soroushmehr:
Low Complexity CNN Structure for Automatic Bleeding Zone Detection in Wireless Capsule Endoscopy Imaging. EMBC 2019: 7227-7230 - [c103]Alireza Norouzi, Ali Emami, Kayvan Najarian, Nader Karimi, Shadrokh Samavi, S. M. Reza Soroushmehr:
Exploiting Uncertainty of Deep Neural Networks for Improving Segmentation Accuracy in MRI Images. ICASSP 2019: 2322-2326 - [c102]Heming Yao, Craig A. Williamson, Jonathan Gryak, Kayvan Najarian:
Brain Hematoma Segmentation Using Active Learning and an Active Contour Model. IWBBIO (2) 2019: 385-396 - [i26]Behzad Ghazanfari, Fatemeh Afghah, Kayvan Najarian, Sajad Mousavi, Jonathan Gryak, James Todd:
An Unsupervised Feature Learning Approach to Reduce False Alarm Rate in ICUs. CoRR abs/1904.08495 (2019) - [i25]Safiyeh Rezaei, Ali Emami, Hamidreza Zarrabi, Shima Rafiei, Kayvan Najarian, Nader Karimi, Shadrokh Samavi, S. M. Reza Soroushmehr:
Gland Segmentation in Histopathology Images Using Deep Networks and Handcrafted Features. CoRR abs/1909.00270 (2019) - [i24]Zahra Sobhaninia, Shima Rafiei, Ali Emami, Nader Karimi, Kayvan Najarian, Shadrokh Samavi, S. M. Reza Soroushmehr:
Fetal Ultrasound Image Segmentation for Measuring Biometric Parameters Using Multi-Task Deep Learning. CoRR abs/1909.00273 (2019) - [i23]Hamidreza Zarrabi, Ali Emami, Pejman Khadivi, S. M. Reza Soroushmehr, Nader Karimi, Kayvan Najarian, Shadrokh Samavi:
BlessMark: A Blind Diagnostically-Lossless Watermarking Framework for Medical Applications Based on Deep Neural Networks. CoRR abs/1911.00382 (2019) - 2018
- [j45]Ebrahim Nasr-Esfahani, Nader Karimi, Mohammad H. Jafari, S. Mohamad R. Soroushmehr, Shadrokh Samavi, Brahmajee K. Nallamothu, Kayvan Najarian:
Segmentation of vessels in angiograms using convolutional neural networks. Biomed. Signal Process. Control. 40: 240-251 (2018) - [j44]Fatemeh Afghah, Abolfazl Razi, S. Mohamad R. Soroushmehr, Hamid Ghanbari, Kayvan Najarian:
Game Theoretic Approach for Systematic Feature Selection; Application in False Alarm Detection in Intensive Care Units. Entropy 20(3): 190 (2018) - [j43]Mohsen Hajabdollahi, Nader Karimi, S. M. Reza Soroushmehr, Shadrokh Samavi, Kayvan Najarian:
Retinal blood vessel segmentation for macula detachment surgery monitoring instruments. Int. J. Circuit Theory Appl. 46(6): 1166-1180 (2018) - [j42]Maedeh Jamali, Shima Rafiei, S. M. Reza Soroushmehr, Nader Karimi, Shahram Shirani, Kayvan Najarian, Shadrokh Samavi:
Adaptive image watermarking using human perception based fuzzy inference system. J. Intell. Fuzzy Syst. 35(4): 4589-4608 (2018) - [j41]Zohreh HosseinKhani, Mohsen Hajabdollahi, Nader Karimi, S. Mohamad R. Soroushmehr, Shahram Shirani, Kayvan Najarian, Shadrokh Samavi:
Adaptive Real-Time Removal of Impulse Noise in Medical Images. J. Medical Syst. 42(11): 216 (2018) - [j40]Hamid R. Fazlali, Nader Karimi, S. M. Reza Soroushmehr, Shahram Shirani, Brahmajee K. Nallamothu, Kevin R. Ward, Shadrokh Samavi, Kayvan Najarian:
Vessel segmentation and catheter detection in X-ray angiograms using superpixels. Medical Biol. Eng. Comput. 56(9): 1515-1530 (2018) - [j39]Elham Etemad, Shadrokh Samavi, S. M. Reza Soroushmehr, Nader Karimi, Mohammad Etemad, Shahram Shirani, Kayvan Najarian:
Robust image watermarking scheme using bit-plane of hadamard coefficients. Multim. Tools Appl. 77(2): 2033-2055 (2018) - [j38]Maryam Karimi, Shadrokh Samavi, Nader Karimi, S. M. Reza Soroushmehr, Weisi Lin, Kayvan Najarian:
Pyramidal modeling of geometric distortions for retargeted image quality evaluation. Multim. Tools Appl. 77(11): 13799-13820 (2018) - [c101]Olivia Alge, Jonathan Gryak, Yingqi Hua, Kayvan Najarian:
Classifying Osteosarcoma Using Meta-Analysis of Gene Expression. BIBM 2018: 2400-2404 - [c100]Zhi Li, Harm Derksen, Jonathan Gryak, Mohsen Hooshmand, Alexander Wood, Hamid Ghanbari, Pujitha Gunaratne, Kayvan Najarian:
Supraventricular Tachycardia Detection via Machine Learning Algorithms. BIBM 2018: 2419-2422 - [c99]Fatima Zare, Sardar Ansari, Kayvan Najarian, Sheida Nabavi:
Copy number variation detection using partial alignment information. BIBM 2018: 2435-2441 - [c98]Alexander Wood, S. M. Reza Soroushmehr, Negar Farzaneh, David Paul Fessell, Kevin R. Ward, Jonathan Gryak, Delaram Kahrobaei, Kayvan Najarian:
Fully Automated Spleen Localization And Segmentation Using Machine Learning And 3D Active Contours. EMBC 2018: 53-56 - [c97]Mojtaba Akbari, Majid Mohrekesh, Shima Rafiei, S. M. Reza Soroushmehr, Nader Karimi, Shadrokh Samavi, Kayvan Najarian:
Classification of Informative Frames in Colonoscopy Videos Using Convolutional Neural Networks with Binarized Weights. EMBC 2018: 65-68 - [c96]Mojtaba Akbari, Majid Mohrekesh, Ebrahim Nasr-Esfahani, S. M. Reza Soroushmehr, Nader Karimi, Shadrokh Samavi, Kayvan Najarian:
Polyp Segmentation in Colonoscopy Images Using Fully Convolutional Network. EMBC 2018: 69-72 - [c95]Mohsen Hooshmand, S. M. Reza Soroushmehr, Craig A. Williamson, Jonathan Gryak, Kayvan Najarian:
Automatic Midline Shift Detection in Traumatic Brain Injury. EMBC 2018: 131-134 - [c94]An Nguyen, Sardar Ansari, Mohsen Hooshmand, Kaiwen Lin, Hamid Ghanbari, Jonathan Gryak, Kayvan Najarian:
Comparative Study on Heart Rate Variability Analysis for Atrial Fibrillation Detection in Short Single-Lead ECG Recordings. EMBC 2018: 526-529 - [c93]Rebecca Shen, Zhi Li, Linglin Zhang, Yingqi Hua, Min Mao, Zhicong Li, Zhengdong Cai, Yunping Qiu, Jonathan Gryak, Kayvan Najarian:
Osteosarcoma Patients Classification Using Plain X-Rays and Metabolomic Data. EMBC 2018: 690-693 - [c92]Hamidreza Zarrabi, Mohsen Hajabdollahi, S. M. Reza Soroushmehr, Nader Karimi, Shadrokh Samavi, Kayvan Najarian:
Reversible Image Watermarking for Health Informatics Systems Using Distortion Compensation in Wavelet Domain. EMBC 2018: 798-801 - [c91]Heming Yao, Wei Zhang, Rajesh K. Malhan, Jonathan Gryak, Kayvan Najarian:
Filter-Pruned 3D Convolutional Neural Network for Drowsiness Detection. EMBC 2018: 1258-1262 - [c90]Mina Nasr-Esfahani, Majid Mohrekesh, Mojtaba Akbari, S. M. Reza Soroushmehr, Ebrahim Nasr-Esfahani, Nader Karimi, Shadrokh Samavi, Kayvan Najarian:
Left Ventricle Segmentation in Cardiac MR Images Using Fully Convolutional Network. EMBC 2018: 1275-1278 - [c89]Negar Farzaneh, S. M. Reza Soroushmehr, Hirenkumar Patel, Alexander Wood, Jonathan Gryak, David Paul Fessell, Kayvan Najarian:
Automated Kidney Segmentation for Traumatic Injured Patients through Ensemble Learning and Active Contour Modeling. EMBC 2018: 3418-3421 - [c88]Zhi Li, Harm Derksen, Jonathan Gryak, Hamid Ghanbari, Pujitha Gunaratne, Kayvan Najarian:
A Novel Atrial Fibrillation Prediction Algorithm Applicable to Recordings from Portable Devices. EMBC 2018: 4034-4037 - [c87]Mahdi Ahmadi, Ali Emami, Mohsen Hajabdollahi, S. M. Reza Soroushmehr, Nader Karimi, Shadrokh Samavi, Kayvan Najarian:
Lossless Compression of Angiogram Foreground with Visual Quality Preservation of Background. EMBC 2018: 5158-5161 - [c86]Sardar Ansari, Jonathan Gryak, Kayvan Najarian:
Noise Detection in Electrocardiography Signal for Robust Heart Rate Variability Analysis: A Deep Learning Approach. EMBC 2018: 5632-5635 - [c85]Heming Yao, Craig A. Williamson, S. M. Reza Soroushmehr, Jonathan Gryak, Kayvan Najarian:
Hematoma Segmentation Using Dilated Convolutional Neural Network. EMBC 2018: 5902-5905 - [c84]Shima Rafiei, Ebrahim Nasr-Esfahani, Kayvan Najarian, Nader Karimi, Shadrokh Samavi, S. M. Reza Soroushmehr:
Liver Segmentation in CT Images Using Three Dimensional to Two Dimensional Fully Convolutional Network. ICIP 2018: 2067-2071 - [c83]Mohsen Hajabdollahi, Reza Esfandiarpoor, Kayvan Najarian, Nader Karimi, Shadrokh Samavi, S. M. Reza Soroushmehr:
Low Complexity Convolutional Neural Network for Vessel Segmentation in Portable Retinal Diagnostic Devices. ICIP 2018: 2785-2789 - [c82]Mojtaba Akbari, Majid Mohrekesh, Kayvan Najarian, Nader Karimi, Shadrokh Samavi, S. M. Reza Soroushmehr:
Adaptive Specular Reflection Detection and Inpainting in Colonoscopy Video Frames. ICIP 2018: 3134-3138 - [c81]Alexander Wood, Vladimir Shpilrain, Kayvan Najarian, Ali Mostashari, Delaram Kahrobaei:
Private-Key Fully Homomorphic Encryption for Private Classification. ICMS 2018: 475-481 - [i22]Alexandr A. Kalinin, Gerald A. Higgins, Narathip Reamaroon, S. M. Reza Soroushmehr, Ari Allyn-Feuer, Ivo D. Dinov, Kayvan Najarian, Brian D. Athey:
Deep Learning in Pharmacogenomics: From Gene Regulation to Patient Stratification. CoRR abs/1801.08570 (2018) - [i21]Mahdi Ahmadi, Ali Emami, Mohsen Hajabdollahi, S. M. Reza Soroushmehr, Nader Karimi, Shadrokh Samavi, Kayvan Najarian:
Lossless Compression of Angiogram Foreground with Visual Quality Preservation of Background. CoRR abs/1802.07769 (2018) - [i20]Mina Nasr-Esfahani, Majid Mohrekesh, Mojtaba Akbari, S. M. Reza Soroushmehr, Ebrahim Nasr-Esfahani, Nader Karimi, Shadrokh Samavi, Kayvan Najarian:
Left Ventricle Segmentation in Cardiac MR Images Using Fully Convolutional Network. CoRR abs/1802.07778 (2018) - [i19]Atefe Rajaeefar, Ali Emami, S. M. Reza Soroushmehr, Nader Karimi, Shadrokh Samavi, Kayvan Najarian:
Lossless Image Compression Algorithm for Wireless Capsule Endoscopy by Content-Based Classification of Image Blocks. CoRR abs/1802.07781 (2018) - [i18]Hamidreza Zarrabi, Mohsen Hajabdollahi, S. M. Reza Soroushmehr, Nader Karimi, Shadrokh Samavi, Kayvan Najarian:
Reversible Image Watermarking for Health Informatics Systems Using Distortion Compensation in Wavelet Domain. CoRR abs/1802.07786 (2018) - [i17]Mohsen Hajabdollahi, Reza Esfandiarpoor, S. M. Reza Soroushmehr, Nader Karimi, Shadrokh Samavi, Kayvan Najarian:
Segmentation of Bleeding Regions in Wireless Capsule Endoscopy Images an Approach for inside Capsule Video Summarization. CoRR abs/1802.07788 (2018) - [i16]Shima Rafiei, Ebrahim Nasr-Esfahani, S. M. Reza Soroushmehr, Nader Karimi, Shadrokh Samavi, Kayvan Najarian:
Liver segmentation in CT images using three dimensional to two dimensional fully connected network. CoRR abs/1802.07800 (2018) - [i15]Mohsen Hajabdollahi, Reza Esfandiarpoor, S. M. Reza Soroushmehr, Nader Karimi, Shadrokh Samavi, Kayvan Najarian:
Low complexity convolutional neural network for vessel segmentation in portable retinal diagnostic devices. CoRR abs/1802.07804 (2018) - [i14]Mojtaba Akbari, Majid Mohrekesh, S. M. Reza Soroushmehr, Nader Karimi, Shadrokh Samavi, Kayvan Najarian:
Adaptive specular reflection detection and inpainting in colonoscopy video frames. CoRR abs/1802.08402 (2018) - [i13]Alireza Norouzi, Ali Emami, S. M. Reza Soroushmehr, Nader Karimi, Shadrokh Samavi, Kayvan Najarian:
Left ventricle segmentation By modelling uncertainty in prediction of deep convolutional neural networks and adaptive thresholding inference. CoRR abs/1803.00406 (2018) - [i12]Mohsen Hajabdollahi, Reza Esfandiarpoor, Pejman Khadivi, S. M. Reza Soroushmehr, Nader Karimi, Kayvan Najarian, Shadrokh Samavi:
Segmentation of Bleeding Regions in Wireless Capsule Endoscopy for Detection of Informative Frames. CoRR abs/1808.07746 (2018) - [i11]Mohsen Hajabdollahi, Reza Esfandiarpoor, Elyas Sabeti, Nader Karimi, Kayvan Najarian, S. M. Reza Soroushmehr, Shadrokh Samavi:
Multiple Abnormality Detection for Automatic Medical Image Diagnosis Using Bifurcated Convolutional Neural Network. CoRR abs/1809.05831 (2018) - [i10]Mahdi Ahmadi, Alireza Norouzi, S. M. Reza Soroushmehr, Nader Karimi, Kayvan Najarian, Shadrokh Samavi, Ali Emami:
ReDMark: Framework for Residual Diffusion Watermarking on Deep Networks. CoRR abs/1810.07248 (2018) - 2017
- [j37]Maxwell T. Spadafore, Kayvan Najarian, Alan P. Boyle:
A proximity-based graph clustering method for the identification and application of transcription factor clusters. BMC Bioinform. 18(1): 530:1-530:14 (2017) - [j36]M. Hossein Jafari, Ebrahim Nasr-Esfahani, Nader Karimi, S. M. Reza Soroushmehr, Shadrokh Samavi, Kayvan Najarian:
Extraction of skin lesions from non-dermoscopic images for surgical excision of melanoma. Int. J. Comput. Assist. Radiol. Surg. 12(6): 1021-1030 (2017) - [j35]Mansour Nejati, Shadrokh Samavi, Nader Karimi, S. M. Reza Soroushmehr, Shahram Shirani, Iman Roosta, Kayvan Najarian:
Surface area-based focus criterion for multi-focus image fusion. Inf. Fusion 36: 284-295 (2017) - [j34]Maryam Karimi, Shadrokh Samavi, Nader Karimi, S. M. Reza Soroushmehr, Weisi Lin, Kayvan Najarian:
Quality assessment of retargeted images by salient region deformity analysis. J. Vis. Commun. Image Represent. 43: 108-118 (2017) - [j33]M. Heidari, Shadrokh Samavi, S. Mohamad R. Soroushmehr, Shahram Shirani, Nader Karimi, Kayvan Najarian:
Framework for robust blind image watermarking based on classification of attacks. Multim. Tools Appl. 76(22): 23459-23479 (2017) - [j32]Sardar Ansari, Kevin R. Ward, Kayvan Najarian:
Motion Artifact Suppression in Impedance Pneumography Signal for Portable Monitoring of Respiration: An Adaptive Approach. IEEE J. Biomed. Health Informatics 21(2): 387-398 (2017) - [j31]Maryam Karimi, Mansour Nejati, S. M. Reza Soroushmehr, Shadrokh Samavi, Nader Karimi, Kayvan Najarian:
Blind Stereo Quality Assessment Based on Learned Features From Binocular Combined Images. IEEE Trans. Multim. 19(11): 2475-2489 (2017) - [c80]Lu Wang, Sardar Ansari, Kayvan Najarian, Kevin R. Ward, Kenn R. Oldham:
Estimation of peripheral artery radius using non-invasive sensors and Kalman filtering of local dynamics. ACC 2017: 807-812 - [c79]Fatima Zare, Sardar Ansari, Kayvan Najarian, Sheida Nabavi:
Bias and Noise Cancellation for Robust Copy Number Variation Detection. BCB 2017: 591 - [c78]Fatima Zare, Sardar Ansari, Kayvan Najarian, Sheida Nabavi:
Noise cancellation for robust copy number variation detection using next generation sequencing data. BIBM 2017: 230-236 - [c77]Zhi Li, S. M. Reza Soroushmehr, Yingqi Hua, Min Mao, Yunping Qiu, Kayvan Najarian:
Classifying osteosarcoma patients using machine learning approaches. EMBC 2017: 82-85 - [c76]Somayeh Molaei, Mohammad Ebrahim Shiri, Kelsey Horan, Delaram Kahrobaei, Brahmajee K. Nallamothu, Kayvan Najarian:
Deep Convolutional Neural Networks for left ventricle segmentation. EMBC 2017: 668-671 - [c75]Nasrin Tavakoli, Maryam Karimi, Mansour Nejati, Nader Karimi, S. M. Reza Soroushmehr, Shadrokh Samavi, Kayvan Najarian:
Abnormality detection of mammograms by discriminative dictionary learning on DSIFT descriptors. EMBC 2017: 1740-1743 - [c74]Sardar Ansari, Somayeh Molaei, Kenn Richard Oldham, Michael Heung, Kevin R. Ward, Kayvan Najarian:
An extended Kalman filter with inequality constraints for real-time detection of intradialytic hypotension. EMBC 2017: 2227-2230 - [c73]Negar Farzaneh, S. M. Reza Soroushmehr, Craig A. Williamson, Cheng Jiang, Ashok Srinivasan, Jayapalli R. Bapuraj, Kevin R. Ward, Frederick K. Korley, Kayvan Najarian:
Automated subdural hematoma segmentation for traumatic brain injured (TBI) patients. EMBC 2017: 3069-3072 - [c72]Negar Farzaneh, Samuel Habbo-Gavin, S. M. Reza Soroushmehr, Hirenkumar Patel, David Paul Fessell, Kevin R. Ward, Kayvan Najarian:
Atlas based 3D liver segmentation using adaptive thresholding and superpixel approaches. ICASSP 2017: 1093-1097 - [c71]Mansour Nejati, Maryam Karimi, S. M. Reza Soroushmehr, Nader Karimi, Shadrokh Samavi, Kayvan Najarian:
Fast exposure fusion using exposedness function. ICIP 2017: 2234-2238 - [i9]Zohreh HosseinKhani, Mohsen Hajabdollahi, Nader Karimi, S. M. Reza Soroushmehr, Shahram Shirani, Shadrokh Samavi, Kayvan Najarian:
Real-Time Impulse Noise Removal from MR Images for Radiosurgery Applications. CoRR abs/1707.05975 (2017) - [i8]Maryam Karimi, Najmeh Soltanian, Shadrokh Samavi, Nader Karimi, S. M. Reza Soroushmehr, Kayvan Najarian:
Blind Stereo Image Quality Assessment Inspired by Brain Sensory-Motor Fusion. CoRR abs/1709.00725 (2017) - [i7]Zohreh HosseinKhani, Mohsen Hajabdollahi, Nader Karimi, S. Mohamad R. Soroushmehr, Shahram Shirani, Kayvan Najarian, Shadrokh Samavi:
Adaptive Real-Time Removal of Impulse Noise in Medical Images. CoRR abs/1709.02270 (2017) - [i6]Hamid R. Fazlali, Nader Karimi, S. M. Reza Soroushmehr, Shahram Shirani, Brahmajee K. Nallamothu, Kevin R. Ward, Shadrokh Samavi, Kayvan Najarian:
Vessel Segmentation and Catheter Detection in X-Ray Angiograms Using Superpixels. CoRR abs/1709.02741 (2017) - [i5]Maedeh Jamali, Shima Rafiee, S. M. Reza Soroushmehr, Nader Karimi, Shahram Shirani, Kayvan Najarian, Shadrokh Samavi:
Adaptive Blind Image Watermarking Using Fuzzy Inference System Based on Human Visual Perception. CoRR abs/1709.06536 (2017) - [i4]Ebrahim Nasr-Esfahani, Shima Rafiee, Mohammad H. Jafari, Nader Karimi, James S. Wrobel, S. M. Reza Soroushmehr, Shadrokh Samavi, Kayvan Najarian:
Dense Fully Convolutional Network for Skin Lesion Segmentation. CoRR abs/1712.10207 (2017) - 2016
- [j30]Nader Karimi, Shadrokh Samavi, S. M. Reza Soroushmehr, Shahram Shirani, Kayvan Najarian:
Toward practical guideline for design of image compression algorithms for biomedical applications. Expert Syst. Appl. 56: 360-367 (2016) - [j29]Mansour Nejati, Shadrokh Samavi, Harm Derksen, Kayvan Najarian:
Denoising by low-rank and sparse representations. J. Vis. Commun. Image Represent. 36: 28-39 (2016) - [j28]Mansour Nejati, Shadrokh Samavi, Nader Karimi, S. Mohamad R. Soroushmehr, Kayvan Najarian:
Boosted Dictionary Learning for Image Compression. IEEE Trans. Image Process. 25(10): 4900-4915 (2016) - [c70]S. Mohamad R. Soroushmehr, Abhishek Bafna, S. Sinha, Brahmajee K. Nallamothu, Kevin Ward, Kayvan Najarian:
Quantitative measurement of vasculature in coronary angiogram videos. BHI 2016: 176-179 - [c69]Sardar Ansari, Negar Farzaneh, Michael Heung, Kenn R. Oldham, Harm Derksen, Kevin R. Ward, Kayvan Najarian:
Real-time detection of intradialytic hypotension using a novel polyvinylidene fluoride based sensor. BHI 2016: 493-496 - [c68]Ebrahim Nasr-Esfahani, Shadrokh Samavi, Nader Karimi, S. M. Reza Soroushmehr, Kevin Ward, Mohammad H. Jafari, Banafsheh Felfeliyan, Brahmajee K. Nallamothu, Kayvan Najarian:
Vessel extraction in X-ray angiograms using deep learning. EMBC 2016: 643-646 - [c67]Maedeh Jamali, Shadrokh Samavi, Nader Karimi, S. Mohamad R. Soroushmehr, Kevin Ward, Kayvan Najarian:
Robust watermarking in non-ROI of medical images based on DCT-DWT. EMBC 2016: 1200-1203 - [c66]Mohammad H. Jafari, Shadrokh Samavi, Nader Karimi, S. Mohamad R. Soroushmehr, Kevin Ward, Kayvan Najarian:
Automatic detection of melanoma using broad extraction of features from digital images. EMBC 2016: 1357-1360 - [c65]Ebrahim Nasr-Esfahani, Shadrokh Samavi, Nader Karimi, S. Mohamad R. Soroushmehr, Mohammad H. Jafari, Kevin Ward, Kayvan Najarian:
Melanoma detection by analysis of clinical images using convolutional neural network. EMBC 2016: 1373-1376 - [c64]M. Amin Khorsandi, Nader Karimi, Shadrokh Samavi, Mohsen Hajabdollahi, S. Mohamad R. Soroushmehr, Kevin Ward, Kayvan Najarian:
Hardware image assessment for wireless endoscopy capsules. EMBC 2016: 2050-2053 - [c63]Somayeh Molaei, Frederick K. Korley, S. M. Reza Soroushmehr, Hayley Falk, Haris I. Sair, Kevin Ward, Kayvan Najarian:
A machine learning based approach for identifying traumatic brain injury patients for whom a head CT scan can be avoided. EMBC 2016: 2258-2261 - [c62]Mahsa Kadkhodaei, Shadrokh Samavi, Nader Karimi, Hoda Mohaghegh, S. Mohamad R. Soroushmehr, Kevin Ward, Angelo All, Kayvan Najarian:
Automatic segmentation of multimodal brain tumor images based on classification of super-voxels. EMBC 2016: 5945-5948 - [c61]Negar Farzaneh, Shadrokh Samavi, S. M. Reza Soroushmehr, Hirenkumar Patel, Samuel Habbo-Gavin, David Paul Fessell, Kevin R. Ward, Kayvan Najarian:
Liver segmentation using location and intensity probabilistic atlases. EMBC 2016: 6453-6456 - [c60]Mansour Nejati, Shadrokh Samavi, Nader Karimi, S. M. Reza Soroushmehr, Kayvan Najarian:
Boosted multi-scale dictionaries for image compression. ICASSP 2016: 1130-1134 - [c59]Hoda Mohaghegh, Shadrokh Samavi, Nader Karimi, S. Mohamad R. Soroushmehr, Kayvan Najarian:
Depth estimation from single images using modified stacked generalization. ICASSP 2016: 1621-1625 - [c58]Mansour Nejati, Shadrokh Samavi, S. M. Reza Soroushmehr, Kayvan Najarian:
Coherence regularized dictionary learning. ICASSP 2016: 4717-4721 - [c57]Banafsheh Felfelian, Hamid R. Fazlali, Nader Karimi, S. Mohamad R. Soroushmehr, Shadrokh Samavi, Brahmajee K. Nallamothu, Kayvan Najarian:
Vessel segmentation in low contrast X-ray angiogram images. ICIP 2016: 375-379 - [c56]Mohammad H. Jafari, Shadrokh Samavi, S. Mohamad R. Soroushmehr, Hoda Mohaghegh, Nader Karimi, Kayvan Najarian:
Set of descriptors for skin cancer diagnosis using non-dermoscopic color images. ICIP 2016: 2638-2642 - [c55]Mohammad H. Jafari, Nader Karimi, Ebrahim Nasr-Esfahani, Shadrokh Samavi, S. Mohamad R. Soroushmehr, Kevin R. Ward, Kayvan Najarian:
Skin lesion segmentation in clinical images using deep learning. ICPR 2016: 337-342 - [c54]Hoda Mohaghegh, Nader Karimi, S. Mohamad R. Soroushmehr, Shadrokh Samavi, Kayvan Najarian:
Single image depth estimation using joint local-global features. ICPR 2016: 727-732 - [c53]M. Amin Khorsandi, Nader Karimi, S. Mohamad R. Soroushmehr, Mohsen Hajabdollahi, Shadrokh Samavi, Kevin Ward, Kayvan Najarian:
Radon transform inspired method for hand gesture recognition. ICPR 2016: 1053-1058 - [c52]Zohreh HosseinKhani, Nader Karimi, S. Mohamad R. Soroushmehr, Mohsen Hajabdollahi, Shadrokh Samavi, Kevin Ward, Kayvan Najarian:
Real-time removal of random value impulse noise in medical images. ICPR 2016: 3916-3921 - [i3]Mohammad H. Jafari, Ebrahim Nasr-Esfahani, Nader Karimi, S. M. Reza Soroushmehr, Shadrokh Samavi, Kayvan Najarian:
Extraction of Skin Lesions from Non-Dermoscopic Images Using Deep Learning. CoRR abs/1609.02374 (2016) - [i2]Ebrahim Nasr-Esfahani, Nader Karimi, S. M. Reza Soroushmehr, M. Hossein Jafari, M. Amin Khorsandi, Shadrokh Samavi, Kayvan Najarian:
Hand Gesture Recognition for Contactless Device Control in Operating Rooms. CoRR abs/1611.04138 (2016) - 2015
- [j27]Kayvan Najarian, Kevin R. Ward, Shahram Shirani:
Biomedical Signal and Image Processing for Clinical Decision Support Systems 2014. Comput. Math. Methods Medicine 2015: 974592:1-974592:2 (2015) - [j26]S. M. Reza Soroushmehr, Pavani Davuluri, Somayeh Molaei, Rosalyn Hobson Hargraves, Yang Tang, Charles H. Cockrell, Kevin Ward, Kayvan Najarian:
Spleen Segmentation and Assessment in CT Images for Traumatic Abdominal Injuries. J. Medical Syst. 39(9): 87:1-87:11 (2015) - [j25]Sardar Ansari, Kevin Ward, Kayvan Najarian:
Epsilon-Tube Filtering: Reduction of High-Amplitude Motion Artifacts From Impedance Plethysmography Signal. IEEE J. Biomed. Health Informatics 19(2): 406-417 (2015) - [c51]Sardar Ansari, Ashwin Belle, Kayvan Najarian:
Multi-modal Integrated Approach towards Reducing False Arrhythmia Alarms During Continuous Patient Monitoring: the PhysioNet Challenge 2015. CinC 2015: 1181-1184 - [c50]S. Mohamad Reza Soroushmehr, Abhishek Bafna, Steven Schlosser, Kevin Ward, Harm Derksen, Kayvan Najarian:
CT image segmentation in traumatic brain injury. EMBC 2015: 2973-2976 - [c49]Salome Kazeminia, Nader Karimi, S. M. Reza Soroushmehr, Shadrokh Samavi, Harm Derksen, Kayvan Najarian:
Region of interest extraction for lossless compression of bone X-ray images. EMBC 2015: 3061-3064 - [c48]Hoda Mohaghegh, Nader Karimi, S. M. Reza Soroushmehr, Shadrokh Samavi, Kayvan Najarian:
Adaptive stereo medical image watermarking using non-corresponding blocks. EMBC 2015: 4214-4217 - [c47]Hamid R. Fazlali, Nader Karimi, S. Mohamad R. Soroushmehr, Shadrokh Samavi, Brahmajee K. Nallamothu, Harm Derksen, Kayvan Najarian:
Robust catheter identification and tracking in X-ray angiographic sequences. EMBC 2015: 7901-7904 - [c46]Mansour Nejati, Shadrokh Samavi, S. M. Reza Soroushmehr, Kayvan Najarian:
Low-rank regularized collaborative filtering for image denoising. ICIP 2015: 730-734 - [c45]Salome Kazeminia, Nader Karimi, Behzad Mirmahboub, S. Mohamad R. Soroushmehr, Shadrokh Samavi, Kayvan Najarian:
Bone extraction in X-ray images by analysis of line fluctuations. ICIP 2015: 882-886 - [c44]Hamid R. Fazlali, Nader Karimi, S. Mohamad R. Soroushmehr, S. Sinha, Shadrokh Samavi, Brahmajee K. Nallamothu, Kayvan Najarian:
Vessel region detection in coronary X-ray angiograms. ICIP 2015: 1493-1497 - [c43]Fatemeh Afghah, Abolfazl Razi, S. M. Reza Soroushmehr, Somayeh Molaei, Hamid Ghanbari, Kayvan Najarian:
A Game Theoretic Predictive Modeling Approach to Reduction of False Alarm. ICSH 2015: 118-130 - [i1]Fatemeh Afghah, Abolfazl Razi, Kayvan Najarian:
A Shapley Value Solution to Game Theoretic-based Feature Reduction in False Alarm Detection. CoRR abs/1512.01680 (2015) - 2014
- [j24]Jie Wu, Ashwin Belle, Rosalyn Hobson Hargraves, Charles Cockrell, Yang Tang, Kayvan Najarian:
Bone segmentation and 3D visualization of CT images for traumatic pelvic injuries. Int. J. Imaging Syst. Technol. 24(1): 29-38 (2014) - [c42]Abolfazl Razi, Fatemeh Afghah, Ashwin Belle, Kevin Ward, Kayvan Najarian:
Blood loss severity prediction using game theoretic based feature selection. BHI 2014: 776-780 - [c41]Leila Ghaedi, Riki Gottlieb, David C. Sarrett, Amid Ismail, Ashwin Belle, Kayvan Najarian, Rosalyn Hobson Hargraves:
An automated dental caries detection and scoring system for optical images of tooth occlusal surface. EMBC 2014: 1925-1928 - [p1]Ashwin Belle, Soo-Yeon Ji, Wenan Chen, Toan Huynh, Kayvan Najarian:
Rule-based Computer Aided Decision Making for Traumatic Brain Injuries. Machine Learning in Healthcare Informatics 2014: 229-259 - 2013
- [j23]Babak Seyed Aghazadeh, Morteza Khaleghi, Ramana Pidaparti, Kayvan Najarian:
Intracranial pressure (ICP) level estimation using textural features of brain CT images. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 1(3): 130-137 (2013) - [j22]Kayvan Najarian, Kevin R. Ward, Shahram Shirani:
Biomedical Signal and Image Processing for Clinical Decision Support Systems. Comput. Math. Methods Medicine 2013: 578320:1-578320:2 (2013) - [j21]Varun Oswal, Ashwin Belle, Robert F. Diegelmann, Kayvan Najarian:
An Entropy-Based Automated Cell Nuclei Segmentation and Quantification: Application in Analysis of Wound Healing Process. Comput. Math. Methods Medicine 2013: 592790:1-592790:10 (2013) - [j20]Wenan Chen, Charles H. Cockrell, Kevin Ward, Kayvan Najarian:
Predictability of intracranial pressure level in traumatic brain injury: features extraction, statistical analysis and machine learning-based evaluation. Int. J. Data Min. Bioinform. 8(4): 480-494 (2013) - [c40]Xuguang Qi, Ashwin Belle, Sharad Shandilya, Kayvan Najarian, Wenan Chen, Rosalyn Hobson Hargraves, Charles Cockrell:
Automated Intracranial Pressure Prediction Using Multiple Features Sources. ICISA 2013: 1-4 - 2012
- [j19]Sumeyra U. Demir, Roya Hakimzadeh, Rosalyn Hobson Hargraves, Kevin R. Ward, Eric V. Myer, Kayvan Najarian:
An automated method for analysis of microcirculation videos for accurate assessment of tissue perfusion. BMC Medical Imaging 12: 37 (2012) - [j18]Ashwin Belle, Rosalyn Hobson Hargraves, Kayvan Najarian:
An Automated Optimal Engagement and Attention Detection System Using Electrocardiogram. Comput. Math. Methods Medicine 2012: 528781:1-528781:12 (2012) - [j17]Pavani Davuluri, Jie Wu, Yang Tang, Charles H. Cockrell, Kevin R. Ward, Kayvan Najarian, Rosalyn Hobson Hargraves:
Hemorrhage Detection and Segmentation in Traumatic Pelvic Injuries. Comput. Math. Methods Medicine 2012: 898430:1-898430:12 (2012) - [j16]Jie Wu, Pavani Davuluri, Kevin Ward, Charles Cockrell, Rosalyn S. Hobson, Kayvan Najarian:
Fracture Detection in Traumatic Pelvic CT Images. Int. J. Biomed. Imaging 2012: 327198:1-327198:10 (2012) - [j15]Sharad Shandilya, Kevin Ward, Michael Kurz, Kayvan Najarian:
Non-linear dynamical signal characterization for prediction of defibrillation success through machine learning. BMC Medical Informatics Decis. Mak. 12: 116 (2012) - 2011
- [c39]Sardar Ansari, Ashwin Belle, Kevin Ward, Rosalyn S. Hobson, Kayvan Najarian:
Reduction of periodic motion artifacts from impedance plethysmography. BIBM Workshops 2011: 540-547 - [c38]Pavani Davuluri, Jie Wu, Ashwin Belle, Charles H. Cockrell, Yang Tang, Kevin Ward, Kayvan Najarian, Rosalyn Hobson Hargraves:
A hybrid approach for hemorrhage segmentation in pelvic CT scans. BIBM Workshops 2011: 548-554 - [c37]Ashwin Belle, Rosalyn S. Hobson, Kayvan Najarian:
A physiological signal processing system for optimal engagement and attention detection. BIBM Workshops 2011: 555-561 - [c36]Jie Wu, Pavani Davuluri, Ashwin Belle, Charles H. Cockrell, Yang Tang, Kevin Ward, Rosalyn S. Hobson, Kayvan Najarian:
Fracture detection and quantitative measure of displacement in pelvic CT images. BIBM Workshops 2011: 600-606 - [c35]Wenan Chen, Kevin Ward, Qi Li, Vojislav Kecman, Kayvan Najarian, Nathan B. Menke:
Agent based modeling of blood coagulation system: Implementation using a GPU based high speed framework. EMBC 2011: 145-148 - [c34]Yurong Luo, Abed Al-Raoof Bsoul, Kayvan Najarian:
Confidence-based classification with dynamic conformal prediction and its applications in biomedicine. EMBC 2011: 353-356 - [c33]Sardar Ansari, Kevin Ward, Kayvan Najarian:
ε-tube regression: A new method for motion artifact reduction. EMBC 2011: 2736-2739 - [c32]Jie Wu, Pavani Davuluri, Kevin Ward, Charles Cockrell, Rosalyn S. Hobson, Kayvan Najarian:
A new hierarchical method for multi-level segmentation of bone in pelvic CT scans. EMBC 2011: 3399-3402 - [c31]Pavani Davuluri, Jie Wu, Kevin R. Ward, Charles H. Cockrell, Kayvan Najarian, Rosalyn S. Hobson:
An automated method for hemorrhage detection in traumatic pelvic injuries. EMBC 2011: 5108-5111 - 2010
- [j14]Simina Vasilache, Nazanin Mirshahi, Soo-Yeon Ji, James Mottonen, Donald J. Jacobs, Kayvan Najarian:
A Signal Processing Method to Explore Similarity in Protein Flexibility. Adv. Bioinformatics 2010: 454671:1-454671:8 (2010) - [c30]Sardar Ansari, Kayvan Najarian, Kevin Ward:
Adaptive set-membership normalized least mean squares: An adaptive filter for the systems with bounded noise. BIBM Workshops 2010: 179-184 - [c29]Simina Vasilache, Rebecca Smith, Jie Wu, Pavani Davuluri, Kevin Ward, Kayvan Najarian, Charles Cockrell:
Predicting pelvic trauma severity using features extracted from records and X-ray and CT images. BIBM Workshops 2010: 430-431 - [c28]Sharad Shandilya, Kevin R. Ward, Kayvan Najarian:
A time-series approach for shock outcome prediction using machine learning. BIBM Workshops 2010: 440-446 - [c27]Abed Al-Raoof Bsoul, Kevin Ward, Kayvan Najarian, Soo-Yeon Ji:
A unified signal processing and machine learning method for detection of abnormal heart beats using Electrocardiogram. BIBM Workshops 2010: 453-460 - [c26]Sardar Ansari, Ashwin Belle, Kayvan Najarian, Kevin Ward:
Impedance plethysmography on the arms: Respiration monitoring. BIBM Workshops 2010: 471-472 - [c25]Wenan Chen, Charles Cockrell, Kevin Ward, Kayvan Najarian:
Intracranial pressure level prediction in traumatic brain injury by extracting features from multiple sources and using machine learning methods. BIBM 2010: 510-515 - [c24]Rebecca Smith, Kevin Ward, Charles Cockrell, Jonathan Ha, Kayvan Najarian:
Detection of fracture and quantitative assessment of displacement measures in pelvic X-RAY images. ICASSP 2010: 682-685 - [c23]Wenan Chen, Rebecca Smith, Nooshin Nabizadeh, Kevin Ward, Charles Cockrell, Jonathan Ha, Kayvan Najarian:
Texture Analysis of Brain CT Scans for ICP Prediction. ICISP 2010: 568-575 - [c22]Wenan Chen, Kayvan Najarian, Kevin Ward:
Actual Midline Estimation from Brain CT Scan Using Multiple Regions Shape Matching. ICPR 2010: 2552-2555 - [c21]Yurong Luo, Kayvan Najarian:
Employing Decoding of Specific Error Correcting Codes as a New Classification Criterion in Multiclass Learning Problems. ICPR 2010: 4238-4241
2000 – 2009
- 2009
- [j13]Soo-Yeon Ji, Rebecca Smith, Toan Huynh, Kayvan Najarian:
A comparative analysis of multi-level computer-assisted decision making systems for traumatic injuries. BMC Medical Informatics Decis. Mak. 9: 2 (2009) - [j12]Rebecca Smith, Kayvan Najarian, Kevin Ward:
A hierarchical method based on active shape models and directed Hough transform for segmentation of noisy biomedical images; application in segmentation of pelvic X-ray images. BMC Medical Informatics Decis. Mak. 9(S-1): S2 (2009) - [j11]Wenan Chen, Rebecca Smith, Soo-Yeon Ji, Kevin R. Ward, Kayvan Najarian:
Automated ventricular systems segmentation in brain CT images by combining low-level segmentation and high-level template matching. BMC Medical Informatics Decis. Mak. 9(S-1): S4 (2009) - [j10]Soo-Yeon Ji, Kevin Ward, Kayvan Najarian:
Brain mapping and detection of functional patterns in fMRI using wavelet transform; application in detection of dyslexia. BMC Medical Informatics Decis. Mak. 9(S-1): S6 (2009) - [j9]Simina Vasilache, Kevin Ward, Charles Cockrell, Jonathan Ha, Kayvan Najarian:
Unified wavelet and gaussian filtering for segmentation of CT images; application in segmentation of bone in pelvic CT images. BMC Medical Informatics Decis. Mak. 9(S-1): S8 (2009) - [c20]Sardar Ansari, Kayvan Najarian, Kevin Ward, Mohamad Hakam Tiba:
Extraction of Respiratory Rate from Impedance Signal Measured on Arm: A Portable Respiratory Rate Measurement Device. BIBM 2009: 197-202 - [c19]Wenan Chen, Rebecca Smith, Simina Vasilache, Kayvan Najarian, Kevin Ward, Charles Cockrell, Jonathan Ha:
Traumatic Pelvic Injury Outcome Prediction by Extracting Features from Relevant Medical Records and X-Ray Images. BIBM 2009: 291-294 - [c18]Roya Hakimzadeh, Soo-Yeon Ji, Rebecca Smith, Kevin Ward, Kasra Daneshvar, Kayvan Najarian:
Processing of Transcranial Doppler for Assessment of Blood Volume Loss. IRI 2009: 6-10 - 2008
- [j8]Dong Hyun Jeong, Alireza Darvish, Kayvan Najarian, Jing Yang, William Ribarsky:
Interactive visual analysis of time-series microarray data. Vis. Comput. 24(12): 1053-1066 (2008) - [c17]Simina Vasilache, Rebecca Smith, Soo-Yeon Ji, Kayvan Najarian, Toan Huynh:
Outcome prediction in traumatic pelvic injuries using maximum similarity and quality measures. IRI 2008: 82-85 - 2007
- [c16]Soo-Yeon Ji, Toan Huynh, Kayvan Najarian:
An intelligent method for computer-aided trauma decision making system. ACM Southeast Regional Conference 2007: 198-202 - [c15]Soo-Yeon Ji, Toan Huynh, Kayvan Najarian:
A Comparative Medical Informatics Approach to Traumatic Pelvic Injuries. BIBM 2007: 188-193 - [c14]Zhong Li, Kayvan Najarian:
Biomedical Image Segmentation Based on Shape Stability. ICIP (6) 2007: 281-284 - 2006
- [c13]Christopher N. Eichelberger, Kayvan Najarian:
Simulating protein computing: character recognition via probabilistic transition trees. GrC 2006: 101-105 - 2005
- [j7]Kayvan Najarian, Krishna Gopalakrishnan, R. H. Zadeh:
Signal processing for functional analysis of protein mutants. Int. J. Bioinform. Res. Appl. 1(1): 102-120 (2005) - [j6]Kayvan Najarian:
A Fixed-Distribution PAC Learning Theory for Neural FIR Models. J. Intell. Inf. Syst. 25(3): 275-291 (2005) - [c12]Alireza Darvish, Kayvan Najarian, Dong Hyun Jeong, William Ribarsky:
System Identification and Nonlinear Factor Analysis for Discovery and Visualization of Dynamic Gene Regulatory Pathways. CIBCB 2005: 76-81 - 2004
- [j5]Kayvan Najarian, Maryam Zaheri, Ali Ajdari Rad, Siamak Najarian, Javad Dargahi:
A novel Mixture Model Method for identification of differentially expressed genes from DNA microarray data. BMC Bioinform. 5: 201 (2004) - [c11]Alireza Darvish, EunSang Bak, Krishna Gopalakrishnan, R. H. Zadeh, Kayvan Najarian:
A New Hierarchical Method for Identification of Dynamic Regulatory Pathways from Time-Series DNA Microarray Data. CSB 2004: 602-603 - [c10]Krishna Gopalakrishnan, R. H. Zadeh, Kayvan Najarian, Alireza Darvish:
Computational Analysis and Classification of p53 Mutants According to Primary Structure. CSB 2004: 694-695 - [c9]EunSang Bak, Kayvan Najarian:
Domain conversion with local posteriors for image segmentation. ICASSP (5) 2004: 745-748 - [c8]EunSang Bak, Kayvan Najarian:
Robust Segmentation Using Parametric and Nonparametric Local Spatial Posteriors. ITCC (1) 2004: 626-630 - 2003
- [j4]Jianping Fan, Xingquan Zhu, Kayvan Najarian, Lide Wu:
Accessing Video Contents through Key Objects over IP. Multim. Tools Appl. 21(1): 75-96 (2003) - [c7]Krishna Gopalakrishnan, Kayvan Najarian:
Prediction of Protein Function Using Signal Processing of Biochemical Properties. CSB 2003: 536-538 - 2002
- [j3]Kayvan Najarian:
FIR Volterra kernel neural models and PAC learning. Complex. 7(6): 48-55 (2002) - [j2]Kayvan Najarian:
Learning Based Complexity Evaluation of Radial Basis Function Networks. Neural Process. Lett. 16(2): 137-150 (2002) - [c6]B. Muralikrishnan, Kayvan Najarian, J. Raja:
Process Mapping and Functional Correlation in Surface Metrology: A Novel Clustering Application. ICPR (1) 2002: 29-32 - [c5]Simin Nadjm-Tehrani, Kayvan Najarian, Calin Curescu, Tomas Lingvall, Teresa A. Dahlberg:
Adaptive load control algorithms for 3rd generation mobile networks. MSWiM 2002: 104-111 - 2001
- [j1]Kayvan Najarian:
On learning of Sigmoid Neural Networks. Complex. 6(4): 39-45 (2001) - [c4]Kayvan Najarian:
On learning and computational complexity of FIR radial basis function networks. Part I. Learning of FIR RBFN's. ICASSP 2001: 1321-1324 - [c3]Kayvan Najarian:
On learning and computational complexity of FIR radial basis function networks. Part II. Complexity measures. ICASSP 2001: 1325-1328 - 2000
- [c2]Kayvan Najarian, Guy Albert Dumont, Michael S. Davies, Nancy E. Heckman:
Neural ARX Models and PAC Learning. AI 2000: 305-315
1990 – 1999
- 1999
- [c1]Kayvan Najarian, Guy Albert Dumont, Michael S. Davies:
A learning-theory-based training algorithm for variable-structure dynamic neural modeling. IJCNN 1999: 477-482
Coauthor Index
Charles Cockrell
aka: Charles H. Cockrell
aka: Charles H. Cockrell
[j78] [j74] [j73] [i32] [j72] [j71] [j70] [i31] [j69] [j65] [j64] [j62] [j61] [j60] [j59] [j58] [j57] [c129] [c128] [c127] [c126] [c125] [c124] [i30] [j56] [j55] [j54] [c123] [c122] [c121] [c120] [i29] [i27] [j49] [c118] [c117] [c116] [c115] [c113] [c111] [c110] [c109] [c108] [c102] [i26] [c101] [c100] [c98] [c95] [c94] [c93] [c91] [c89] [c88] [c86] [c85]
[j52] [j50] [j48] [j47] [c114] [c112] [c107] [c106] [c105] [c104] [c103] [i25] [i24] [i23] [j45] [j43] [j42] [j41] [j40] [j39] [j38] [c97] [c96] [c92] [c90] [c87] [c84] [c83] [c82] [i21] [i20] [i19] [i18] [i17] [i16] [i15] [i14] [i13] [i12] [i11] [i10] [j36] [j35] [j34] [j33] [j31] [c75] [c71] [i9] [i8] [i7] [i6] [i5] [i4] [j30] [j28] [c68] [c67] [c66] [c65] [c64] [c62] [c60] [c59] [c57] [c56] [c55] [c54] [c53] [c52] [i3] [i2] [c49] [c48] [c47] [c45] [c44]
[j52] [j50] [j48] [j47] [c114] [c112] [c107] [c106] [c105] [c104] [c103] [i25] [i24] [i23] [j45] [j43] [j42] [j41] [j40] [j39] [j38] [c97] [c96] [c92] [c90] [c87] [c84] [c83] [c82] [i21] [i20] [i19] [i18] [i17] [i16] [i15] [i14] [i13] [i12] [i11] [i10] [j36] [j35] [j34] [j33] [j31] [c75] [c71] [i9] [i8] [i7] [i6] [i5] [i4] [j30] [j29] [j28] [c68] [c67] [c66] [c65] [c64] [c62] [c61] [c60] [c59] [c58] [c57] [c56] [c55] [c54] [c53] [c52] [i3] [i2] [c49] [c48] [c47] [c46] [c45] [c44]
S. Mohamad R. Soroushmehr
aka: S. M. Reza Soroushmehr
aka: Reza Soroushmehr
aka: Sayed Mohammad Reza Soroushmehr
aka: S. M. Reza Soroushmehr
aka: Reza Soroushmehr
aka: Sayed Mohammad Reza Soroushmehr
[c130] [j72] [j71] [c129] [c128] [c127] [c126] [c125] [c124] [j54] [c122] [c121] [c120] [j52] [j50] [j48] [j47] [c117] [c116] [c114] [c113] [c112] [c109] [c108] [c107] [c106] [c105] [c104] [c103] [i25] [i24] [i23] [j45] [j44] [j43] [j42] [j41] [j40] [j39] [j38] [c98] [c97] [c96] [c95] [c92] [c90] [c89] [c87] [c85] [c84] [c83] [c82] [i22] [i21] [i20] [i19] [i18] [i17] [i16] [i15] [i14] [i13] [i12] [i11] [i10] [j36] [j35] [j34] [j33] [j31] [c77] [c75] [c73] [c72] [c71] [i9] [i8] [i7] [i6] [i5] [i4] [j30] [j28] [c70] [c68] [c67] [c66] [c65] [c64] [c63] [c62] [c61] [c60] [c59] [c58] [c57] [c56] [c55] [c54] [c53] [c52] [i3] [i2] [j26] [c49] [c48] [c47] [c46] [c45] [c44] [c43]
Kevin Ward
aka: Kevin R. Ward
aka: Kevin R. Ward
[j70] [c119] [c108] [j40] [c98] [j32] [c80] [c74] [c73] [c72] [i6] [c70] [c69] [c68] [c67] [c66] [c65] [c64] [c63] [c62] [c61] [c55] [c53] [c52] [j27] [j26] [j25] [c50] [c42] [j22] [j20] [j19] [j17] [j16] [j15] [c39] [c38] [c36] [c35] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [j12] [j11] [j10] [j9] [c20] [c19] [c18]
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