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Karnati Mohan
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2020 – today
- 2024
- [j12]Ritesh Maurya, Nageshwar Nath Pandey, Malay Kishore Dutta, Karnati Mohan:
FCCS-Net: Breast cancer classification using Multi-Level fully Convolutional-Channel and spatial attention-based transfer learning approach. Biomed. Signal Process. Control. 94: 106258 (2024) - [j11]Karnati Mohan, Geet Sahu, Akanksha Yadav, Ayan Seal, Joanna Jaworek-Korjakowska, Marek Penhaker, Ondrej Krejcar:
MD-DCNN: Multi-Scale Dilation-Based Deep Convolution Neural Network for epilepsy detection using electroencephalogram signals. Knowl. Based Syst. 301: 112322 (2024) - [j10]Karnati Mohan, Geet Sahu, Abhishek Gupta, Ayan Seal, Ondrej Krejcar:
A Pyramidal Spatial-Based Feature Attention Network for Schizophrenia Detection Using Electroencephalography Signals. IEEE Trans. Cogn. Dev. Syst. 16(3): 935-946 (2024) - 2023
- [j9]Ayan Seal, Rishabh Bajpai, Karnati Mohan, Jagriti Agnihotri, Anis Yazidi, Enrique Herrera-Viedma, Ondrej Krejcar:
Benchmarks for machine learning in depression discrimination using electroencephalography signals. Appl. Intell. 53(10): 12666-12683 (2023) - [j8]Geet Sahu, Karnati Mohan, Abhishek Gupta, Ayan Seal:
SCZ-SCAN: An automated Schizophrenia detection system from electroencephalogram signals. Biomed. Signal Process. Control. 86(Part B): 105206 (2023) - [j7]Karnati Mohan, Ayan Seal, Debotosh Bhattacharjee, Anis Yazidi, Ondrej Krejcar:
Understanding Deep Learning Techniques for Recognition of Human Emotions Using Facial Expressions: A Comprehensive Survey. IEEE Trans. Instrum. Meas. 72: 1-31 (2023) - [j6]Karnati Mohan, Ayan Seal, Joanna Jaworek-Korjakowska, Ondrej Krejcar:
Facial Expression Recognition in-the-Wild Using Blended Feature Attention Network. IEEE Trans. Instrum. Meas. 72: 1-16 (2023) - [c4]Gautam Verma, Karnati Mohan, Malay Kishore Dutta, Vojtech Myska, Anzhelika Mezina:
Attention-Based VGG-Residual-Inception Module for EEG-Based Depression Detection. ICUMT 2023: 33-37 - [c3]Himanshi Sinha, Karnati Mohan, Garmia Aggarwal, Malay Kishore Dutta, Anzhelika Mezina, Radim Burget:
DMRBNet: Dilated Multi-Scale Residual Block-Based Deep Network for Detection of Breast Cancer from MRI Images. ICUMT 2023: 38-43 - [c2]Suzain Rashid, Karnati Mohan, Garmia Aggarwal, Malay Kishore Dutta, Pavel Sikora, Radim Burget:
Attention-Based Multiscale Deep Neural Network for Diagnosis of Polycystic Ovary Syndrome Using Ovarian Ultrasound Images. ICUMT 2023: 44-49 - [c1]Rashi Chauhan, Karnati Mohan, Malay Kishore Dutta, Radim Burget:
Plant Disease Identification Using a Dual Self-Attention Modified Residual-Inception Network. ICUMT 2023: 170-175 - 2022
- [j5]Karnati Mohan, Ayan Seal, Geet Sahu, Anis Yazidi, Ondrej Krejcar:
A novel multi-scale based deep convolutional neural network for detecting COVID-19 from X-rays. Appl. Soft Comput. 125: 109109 (2022) - [j4]Karnati Mohan, Ayan Seal, Anis Yazidi, Ondrej Krejcar:
FLEPNet: Feature Level Ensemble Parallel Network for Facial Expression Recognition. IEEE Trans. Affect. Comput. 13(4): 2058-2070 (2022) - [j3]Karnati Mohan, Ayan Seal, Anis Yazidi, Ondrej Krejcar:
LieNet: A Deep Convolution Neural Network Framework for Detecting Deception. IEEE Trans. Cogn. Dev. Syst. 14(3): 971-984 (2022) - 2021
- [j2]Karnati Mohan, Ayan Seal, Ondrej Krejcar, Anis Yazidi:
FER-net: facial expression recognition using deep neural net. Neural Comput. Appl. 33(15): 9125-9136 (2021) - [j1]Karnati Mohan, Ayan Seal, Ondrej Krejcar, Anis Yazidi:
Facial Expression Recognition Using Local Gravitational Force Descriptor-Based Deep Convolution Neural Networks. IEEE Trans. Instrum. Meas. 70: 1-12 (2021)
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