A novel fully automated MRI-based deep-learning method for classification of IDH mutation status in brain gliomas von Bangalore Yogananda, Chandan Ganesh, Shah, Bhavya R, Vejdani-Jahromi, Maryam, Nalawade, Sahil S, Murugesan, Gowtham K, Yu, Frank F, Pinho, Marco C, Wagner, Benjamin C, Mickey, Bruce, Patel, Toral R, Fei, Baowei, Madhuranthakam, Ananth J, Maldjian, Joseph A

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MEGnet: Automatic ICA-based artifact removal for MEG using spatiotemporal convolutional neural networks von Treacher, Alex H., Garg, Prabhat, Davenport, Elizabeth, Godwin, Ryan, Proskovec, Amy, Bezerra, Leonardo Guimaraes, Murugesan, Gowtham, Wagner, Ben, Whitlow, Christopher T., Stitzel, Joel D., Maldjian, Joseph A., Montillo, Albert A.

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A novel fully automated MRI-based deep-learning method for classification of 1p/19q co-deletion status in brain gliomas von Yogananda, Chandan Ganesh Bangalore, Shah, Bhavya R, Yu, Frank F, Pinho, Marco C, Nalawade, Sahil S, Murugesan, Gowtham K, Wagner, Benjamin C, Mickey, Bruce, Patel, Toral R, Fei, Baowei, Madhuranthakam, Ananth J, Maldjian, Joseph A

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A Fully Automated Deep Learning Network for Brain Tumor Segmentation von Yogananda, Chandan Ganesh Bangalore, Shah, Bhavya R., Vejdani-Jahromi, Maryam, Nalawade, Sahil S., Murugesan, Gowtham K., Yu, Frank F., Pinho, Marco C., Wagner, Benjamin C., Emblem, Kyrre E., Bjornerud, Atle, Fei, Baowei, Madhuranthakam, Ananth J., Maldjian, Joseph A.

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Ag-Decorated Vertically Aligned ZnO Nanorods for Non-Enzymatic Glucose Sensor Applications von Lin, Yu-Hsuan, Sivakumar, Chandrasekar, Balraj, Babu, Murugesan, Gowtham, Nagarajan, Senthil Kumar, Ho, Mon-Shu

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Classification of brain tumor isocitrate dehydrogenase status using MRI and deep learning von Nalawade, Sahil, Murugesan, Gowtham K, Vejdani-Jahromi, Maryam, Fisicaro, Ryan A, Bangalore Yogananda, Chandan G, Wagner, Ben, Mickey, Bruce, Maher, Elizabeth, Pinho, Marco C, Fei, Baowei, Madhuranthakam, Ananth J, Maldjian, Joseph A

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Errata: Brain tumor IDH, 1p/19q, and MGMT molecular classification using MRI-based deep learning: an initial study on the effect of motion and motion correction von Nalawade, Sahil S, Yu, Fang F, Yogananda, Chandan Ganesh Bangalore, Murugesan, Gowtham K, Shah, Bhavya R, Pinho, Marco C, Wagner, Benjamin C, Xi, Yin, Mickey, Bruce, Patel, Toral R, Fei, Baowei, Madhuranthakam, Ananth J, Maldjian, Joseph A

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Brain tumor IDH, 1p/19q, and MGMT molecular classification using MRI-based deep learning: an initial study on the effect of motion and motion correction von Nalawade, Sahil S, Yu, Fang F, Bangalore Yogananda, Chandan Ganesh, Murugesan, Gowtham K, Shah, Bhavya R, Pinho, Marco C, Wagner, Benjamin C, Xi, Yin, Mickey, Bruce, Patel, Toral R, Fei, Baowei, Madhuranthakam, Ananth J, Maldjian, Joseph A

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AI-Generated Annotations Dataset for Diverse Cancer Radiology Collections in NCI Image Data Commons von Murugesan, Gowtham Krishnan, McCrumb, Diana, Aboian, Mariam, Verma, Tej, Soni, Rahul, Memon, Fatima, Farahani, Keyvan, Pei, Linmin, Wagner, Ulrike, Fedorov, Andrey Y., Clunie, David, Moore, Stephen, Van Oss, Jeff

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Retracted: A novel fully automated MRI-based deep-learning method for classification of IDH mutation status in brain gliomas von Bangalore Yogananda, Chandan Ganesh, Shah, Bhavya R, Vejdani-Jahromi, Maryam, Nalawade, Sahil S, Murugesan, Gowtham K, Yu, Frank F, Pinho, Marco C, Wagner, Benjamin C, Mickey, Bruce, Patel, Toral R, Fei, Baowei, Madhuranthakam, Ananth J, Maldjian, Joseph A

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Biodegradable Conducting Polymer-Based Composites for Biomedical Applications-A Review von Khan, Tabrej, Vadivel, Gayathri, Ramasamy, Balan, Murugesan, Gowtham, Sebaey, Tamer A

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DNA fingerprinting of foxtail millet (Setaria italica L.) variety ATL 1 using SSR and RAPD markers along with morphological descriptors von Natesan, Senthil, Murugesan, Gowtham, Murugan, Nandhini, Chandran, Sarankumar, Angamuthu, Nirmalakumari

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Sleep patterns, hygiene and daytime sleepiness among adolescent school-goers in three districts of Tamil Nadu: A descriptive study von Murugesan, Gowtham, Karthigeyan, Logamani, Selvagandhi, Praveen, Gopichandran, Vijayaprasad

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BrainNET: Inference of Brain Network Topology Using Machine Learning von Murugesan, Gowtham Krishnan, Ganesh, Chandan, Nalawade, Sahil, Davenport, Elizabeth M., Wagner, Ben, Kim, Won Hwa, Maldjian, Joseph A.

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Corrigendum to: A novel fully automated MRI-based deep-learning method for classification of 1p/19q co-deletion status in brain gliomas von Yogananda, Chandan Ganesh Bangalore, Shah, Bhavya R, Yu, Frank F, Pinho, Marco C, Nalawade, Sahil S, Murugesan, Gowtham K, Wagner, Benjamin C, Mickey, Bruce, Patel, Toral R, Fei, Baowei, Madhuranthakam, Ananth J, Maldjian, Joseph A

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Using Convolutional Neural Networks to Automatically Detect Eye-Blink Artifacts in Magnetoencephalography Without Resorting to Electrooculography von Garg, Prabhat, Davenport, Elizabeth, Murugesan, Gowtham, Wagner, Ben, Whitlow, Christopher, Maldjian, Joseph, Montillo, Albert

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Head and Neck Primary Tumor Segmentation Using Deep Neural Networks and Adaptive Ensembling von Murugesan, Gowtham Krishnan, Brunner, Eric, McCrumb, Diana, Kumar, Jithendra, VanOss, Jeff, Moore, Stephen, Peck, Anderson, Chang, Anthony

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Test Dataset for 3D semantic image segmentation of the Liver and Tumor von Krishnan Murugesan, Gowtham

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QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking Results von Mehta, Raghav, Filos, Angelos, Baid, Ujjwal, Sako, Chiharu, McKinley, Richard, Rebsamen, Michael, Datwyler, Katrin, Meier, Raphael, Radojewski, Piotr, Gowtham Krishnan Murugesan, Nalawade, Sahil, Ganesh, Chandan, Wagner, Ben, Yu, Fang F, Fei, Baowei, Madhuranthakam, Ananth J, Maldjian, Joseph A, Daza, Laura, Gomez, Catalina, Arbelaez, Pablo, Dai, Chengliang, Wang, Shuo, Reynaud, Hadrien, Yuan-han, Mo, Angelini, Elsa, Guo, Yike, Bai, Wenjia, Banerjee, Subhashis, Lin-min, Pei, Murat, A K, Rosas-Gonzalez, Sarahi, Zemmoura, Ilyess, Tauber, Clovis, Vu, Minh H, Nyholm, Tufve, Lofstedt, Tommy, Laura Mora Ballestar, Vilaplana, Veronica, McHugh, Hugh, Gonzalo Maso Talou, Wang, Alan, Patel, Jay, Chang, Ken, Hoebel, Katharina, Gidwani, Mishka, Nishanth Arun, Gupta, Sharut, Aggarwal, Mehak, Singh, Praveer, Gerstner, Elizabeth R, Kalpathy-Cramer, Jayashree, Boutry, Nicolas, Huard, Alexis, Vidyaratne, Lasitha, Rahman, Md Monibor, Iftekharuddin, Khan M, Chazalon, Joseph, Puybareau, Elodie, Tochon, Guillaume, Ma, Jun, Cabezas, Mariano, Llado, Xavier, Oliver, Arnau, Valencia, Liliana, Valverde, Sergi, Amian, Mehdi, Soltaninejad, Mohammadreza, Myronenko, Andriy, Hatamizadeh, Ali, Xue, Feng, Dou, Quan, Tustison, Nicholas, Meyer, Craig, Shah, Nisarg A, Talbar, Sanjay, Weber, Marc-Andre, Mahajan, Abhishek, Jakab, Andras, Wiest, Roland, Fathallah-Shaykh, Hassan M, Nazeri, Arash, Mikhail Milchenko1, Marcus, Daniel, Kotrotsou, Aikaterini, Colen, Rivka, Freymann, John, Kirby, Justin, Davatzikos, Christos, Menze, Bjoern, Bakas, Spyridon, Yarin Gal, Arbel, Tal

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Multidimensional and Multiresolution Ensemble Networks for Brain Tumor Segmentation von Murugesan, Gowtham Krishnan, Nalawade, Sahil, Ganesh, Chandan, Wagner, Ben, Yu, Fang F., Fei, Baowei, Madhuranthakam, Ananth J., Maldjian, Joseph A.

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