Multi-modal trained artificial intelligence solution to triage chest X-ray for COVID-19 using pristine ground-truth, versus radiologists
Tan, Tao, Das, Bipul, Soni, Ravi, Fejes, Mate, Yang, Hongxu, Ranjan, Sohan, Szabo, Daniel Attila, Melapudi, Vikram, Shriram, K.S., Agrawal, Utkarsh, Rusko, Laszlo, Herczeg, Zita, Darazs, Barbara, Tegzes, Pal, Ferenczi, Lehel, Mullick, Rakesh, Avinash, Gopal
Published in Neurocomputing (Amsterdam) (07.05.2022)
Published in Neurocomputing (Amsterdam) (07.05.2022)
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Journal Article
SYSTEM AND METHODS FOR INFERRING THICKNESS OF OBJECT CLASSES OF INTEREST IN TWO-DIMENSIONAL MEDICAL IMAGES USING DEEP NEURAL NETWORKS
Melapudi, Vikram, Das, Bipul, Avinash, Gopal, Fejes, Máté, Shriram, Krishna Seetharam, Tan, Tao, Soni, Ravi, Mullick, Rakesh, Ferenczi, Lehel, Tegzes, Pál
Year of Publication 07.03.2024
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Year of Publication 07.03.2024
Patent
SYSTEM AND METHODS FOR INFERRING THICKNESS OF OBJECT CLASSES OF INTEREST IN TWO-DIMENSIONAL MEDICAL IMAGES USING DEEP NEURAL NETWORKS
MELAPUDI, Vikram, AVINASH, Gopal, MULLICK, Rakesh, SONI, Ravi, DAS, Bipul, TAN, Tao, TEGZES, Pál, SHRIRAM, Krishna Seetharam, FERENCZI, Lehel, FEJES, Máté
Year of Publication 10.01.2024
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Year of Publication 10.01.2024
Patent
System and methods for inferring thickness of anatomical classes of interest in two-dimensional medical images using deep neural networks
Melapudi, Vikram, Das, Bipul, Avinash, Gopal, Fejes, Máté, Shriram, Krishna Seetharam, Tan, Tao, Soni, Ravi, Mullick, Rakesh, Ferenczi, Lehel, Tegzes, Pál
Year of Publication 12.12.2023
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Year of Publication 12.12.2023
Patent
SYSTEM AND METHODS FOR INFERRING THICKNESS OF OBJECT CLASSES OF INTEREST IN TWO-DIMENSIONAL MEDICAL IMAGES USING DEEP NEURAL NETWORKS
MELAPUDI, Vikram, AVINASH, Gopal, MULLICK, Rakesh, SONI, Ravi, DAS, Bipul, TAN, Tao, TEGZES, Pál, SHRIRAM, Krishna Seetharam, FERENCZI, Lehel, FEJES, Máté
Year of Publication 01.06.2023
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Year of Publication 01.06.2023
Patent
Pristine Annotations-Based Multi-modal Trained Artificial Intelligence Solution to Triage Chest X-Ray for COVID-19
Tan, Tao, Das, Bipul, Soni, Ravi, Fejes, Mate, Ranjan, Sohan, Szabo, Daniel Attila, Melapudi, Vikram, Shriram, K. S., Agrawal, Utkarsh, Rusko, Laszlo, Herczeg, Zita, Darazs, Barbara, Tegzes, Pal, Ferenczi, Lehel, Mullick, Rakesh, Avinash, Gopal
Published in Medical Image Computing and Computer Assisted Intervention – MICCAI 2021
Published in Medical Image Computing and Computer Assisted Intervention – MICCAI 2021
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Book Chapter
MULTIMODALITY IMAGE PROCESSING TECHNIQUES FOR TRAINING IMAGE DATA GENERATION AND USAGE THEREOF FOR DEVELOPING MONO-MODALITY IMAGE INFERENCING MODELS
Melapudi, Vikram, Ranjan, Sohan Rashmi, Herczeg, Zita, Szabó, Dániel Attila, Avinash, Gopal B, Tan, Tao, Soni, Ravi, Mullick, Rakesh, Das, Bipul, Agrawal, Utkarsh, Fejes, Máté, Shriram, Krishna Seetharam, Darázs, Barbara, Ruskó, László
Year of Publication 26.10.2023
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Year of Publication 26.10.2023
Patent
Multimodality image processing techniques for training image data generation and usage thereof for developing mono-modality image inferencing models
Melapudi, Vikram, Ranjan, Sohan Rashmi, Herczeg, Zita, Szabó, Dániel Attila, Avinash, Gopal B, Tan, Tao, Soni, Ravi, Mullick, Rakesh, Das, Bipul, Agrawal, Utkarsh, Fejes, Máté, Shriram, Krishna Seetharam, Darázs, Barbara, Ruskó, László
Year of Publication 15.08.2023
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Year of Publication 15.08.2023
Patent
SYSTEM AND METHODS FOR INFERRING THICKNESS OF OBJECT CLASSES OF INTEREST IN TWO-DIMENSIONAL MEDICAL IMAGES USING DEEP NEURAL NETWORKS
MELAPUDI, Vikram, AVINASH, Gopal, MULLICK, Rakesh, SONI, Ravi, DAS, Bipul, TAN, Tao, TEGZES, Pál, SHRIRAM, Krishna Seetharam, FERENCZI, Lehel, FEJES, Máté
Year of Publication 09.09.2022
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Year of Publication 09.09.2022
Patent
SYSTEM AND METHODS FOR INFERRING THICKNESS OF ANATOMICAL CLASSES OF INTEREST IN TWO-DIMENSIONAL MEDICAL IMAGES USING DEEP NEURAL NETWORKS
Melapudi, Vikram, Das, Bipul, Avinash, Gopal, Fejes, Máté, Shriram, Krishna Seetharam, Tan, Tao, Soni, Ravi, Mullick, Rakesh, Ferenczi, Lehel, Tegzes, Pál
Year of Publication 08.09.2022
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Year of Publication 08.09.2022
Patent
MULTIMODALITY IMAGE PROCESSING TECHNIQUES FOR TRAINING IMAGE DATA GENERATION AND USAGE THEREOF FOR DEVELOPING MONO-MODALITY IMAGE INFERENCING MODELS
DARAZS, Barbara, HERCZEG, Zita, DAS, Bipul, SHRIRAM, Krishna Seetharam, RUSKO, László, FEJES, Máté, MELAPUDI, Vikram, MULLICK, Rakesh, SZABO, Dániel Attila, SONI, Ravi, TAN, Tao, AGRAWAL, Utkarsh, RANJAN, Sohan Rashmi, AVINASH, Gopal B
Year of Publication 16.06.2022
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Year of Publication 16.06.2022
Patent
MULTIMODALITY IMAGE PROCESSING TECHNIQUES FOR TRAINING IMAGE DATA GENERATION AND USAGE THEREOF FOR DEVELOPING MONO-MODALITY IMAGE INFERENCING MODELS
DARAZS, Barbara, HERCZEG, Zita, DAS, Bipul, SHRIRAM, Krishna Seetharam, RUSKO, László, FEJES, Máté, MELAPUDI, Vikram, MULLICK, Rakesh, SZABO, Dániel Attila, SONI, Ravi, TAN, Tao, AGRAWAL, Utkarsh, RANJAN, Sohan Rashmi, AVINASH, Gopal B
Year of Publication 07.04.2022
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Year of Publication 07.04.2022
Patent
MULTIMODALITY IMAGE PROCESSING TECHNIQUES FOR TRAINING IMAGE DATA GENERATION AND USAGE THEREOF FOR DEVELOPING MONO-MODALITY IMAGE INFERENCING MODELS
Melapudi, Vikram, Ranjan, Sohan Rashmi, Herczeg, Zita, Szabó, Dániel Attila, Avinash, Gopal B, Tan, Tao, Soni, Ravi, Mullick, Rakesh, Das, Bipul, Agrawal, Utkarsh, Fejes, Máté, Shriram, Krishna Seetharam, Darázs, Barbara, Ruskó, László
Year of Publication 31.03.2022
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Year of Publication 31.03.2022
Patent
Pristine annotations-based multi-modal trained artificial intelligence solution to triage chest X-ray for COVID-19
Tan, Tao, Das, Bipul, Soni, Ravi, Fejes, Mate, Ranjan, Sohan, Szabo, Daniel Attila, Melapudi, Vikram, Shriram, K S, Agrawal, Utkarsh, Rusko, Laszlo, Herczeg, Zita, Darazs, Barbara, Tegzes, Pal, Ferenczi, Lehel, Mullick, Rakesh, Avinash, Gopal
Year of Publication 10.11.2020
Year of Publication 10.11.2020
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Journal Article
Pristine annotations-based multi-modal trained artificial intelligence solution to triage chest X-ray for COVID-19
Tan, Tao, Das, Bipul, Soni, Ravi, Fejes, Mate, Ranjan, Sohan, Szabo, Daniel Attila, Melapudi, Vikram, Shriram, K S, Agrawal, Utkarsh, Rusko, Laszlo, Herczeg, Zita, Darazs, Barbara, Pal Tegzes, Ferenczi, Lehel, Mullick, Rakesh, Gopal Avinash
Published in arXiv.org (10.11.2020)
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Published in arXiv.org (10.11.2020)
Paper