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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) - 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]