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Detection of Myocardial Infarction from 12-lead ECG trace images using Eigendomain Deep Representation Learning
by
Bhaskarpandit, Sathvik
,
Gade, Anurag
,
Dash, Shaswati
,
Dash, Dinesh Kumar
,
Tripathy, Rajesh Kumar
,
Pachori, Ram Bilas
Published in
IEEE transactions on instrumentation and measurement
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Multiscale Analysis Domain Interpretable Deep Neural Network for Detection of Breast Cancer Using Thermogram Images
by
Gade, Anurag
,
Dash, Dinesh Kumar
,
Kumari, T. Mita
,
Ghosh, Samit Kumar
,
Tripathy, Rajesh Kumar
,
Pachori, Ram Bilas
Published in
IEEE transactions on instrumentation and measurement
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Development of Flexible ReS2/MXene Based Electromechanical Sensor for Deep Learning Assisted Temporal Dependent Alphabet Pattern Recognition
by
Siraj, Sohel
,
Bokka, Naveen
,
Gade, Anurag
,
Akella, Sarang
,
Kolli, Chandra Sekhar Reddy
,
Sahatiya, Parikshit
Published in
IEEE journal on flexible electronics
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Development of Flexible ReS 2 /MXene Based Electromechanical Sensor for Deep Learning Assisted Temporal Dependent Alphabet Pattern Recognition
by
Siraj, Sohel
,
Bokka, Naveen
,
Gade, Anurag
,
Akella, Sarang
,
Kolli, Chandra Sekhar Reddy
,
Sahatiya, Parikshit
Published in
IEEE journal on flexible electronics
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MICCAI-CDMRI 2023 QuantConn Challenge Findings on Achieving Robust Quantitative Connectivity through Harmonized Preprocessing of Diffusion MRI
by
Newlin, Nancy R
,
Schilling, Kurt
,
Koudoro, Serge
,
Chandio, Bramsh Qamar
,
Kanakaraj, Praitayini
,
Moyer, Daniel
,
Kelly, Claire E
,
Genc, Sila
,
Chen, Jian
,
Yang, Joseph Yuan-Mou
,
Wu, Ye
,
He, Yifei
,
Zhang, Jiawei
,
Zeng, Qingrun
,
Zhang, Fan
,
Adluru, Nagesh
,
Nath, Vishwesh
,
Pathak, Sudhir
,
Schneider, Walter
,
Gade, Anurag
,
Rathi, Yogesh
,
Hendriks, Tom
,
Vilanova, Anna
,
Chamberland, Maxime
,
Pieciak, Tomasz
,
Ciupek, Dominika
,
Vega, Antonio Tristán
,
Aja-Fernández, Santiago
,
Malawski, Maciej
,
Ouedraogo, Gani
,
Machnio, Julia
,
Ewert, Christian
,
Thompson, Paul M
,
Jahanshad, Neda
,
Garyfallidis, Eleftherios
,
Landman, Bennett A
Published in
ArXiv.org
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MICCAI-CDMRI 2023 QuantConn Challenge Findings on Achieving Robust Quantitative Connectivity through Harmonized Preprocessing of Diffusion MRI
by
Newlin, Nancy R
,
Schilling, Kurt
,
Koudoro, Serge
,
Bramsh Qamar Chandio
,
Kanakaraj, Praitayini
,
Moyer, Daniel
,
Kelly, Claire E
,
Genc, Sila
,
Chen, Jian
,
Joseph Yuan-Mou Yang
,
Wu, Ye
,
He, Yifei
,
Zhang, Jiawei
,
Zeng, Qingrun
,
Zhang, Fan
,
Adluru, Nagesh
,
Nath, Vishwesh
,
Pathak, Sudhir
,
Schneider, Walter
,
Gade, Anurag
,
Rathi, Yogesh
,
Hendriks, Tom
,
Vilanova, Anna
,
Chamberland, Maxime
,
Pieciak, Tomasz
,
Ciupek, Dominika
,
Antonio Tristán Vega
,
Aja-Fernández, Santiago
,
Malawski, Maciej
,
Ouedraogo, Gani
,
Machnio, Julia
,
Ewert, Christian
,
Thompson, Paul M
,
Jahanshad, Neda
,
Garyfallidis, Eleftherios
,
Landman, Bennett A
Published in
arXiv.org
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