Ranjeet Ranjan Jha

According to our database, Ranjeet Ranjan Jha authored at least 20 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

NeuroGAN: image reconstruction from EEG signals via an attention-based GAN.

Rahul Mishra, Krishan Sharma, Ranjeet Ranjan Jha, Arnav Bhavsar

Neural Comput. Appl., April, 2023

Undersampled single-shell to MSMT fODF reconstruction using CNN-based ODE solver.

Ranjeet Ranjan Jha, B. V. Rathish Kumar, Sudhir K. Pathak, Walter Schneider, Arnav Bhavsar, Aditya Nigam

Comput. Methods Programs Biomed., March, 2023

TrGANet: Transforming 3T to 7T dMRI using Trapezoidal Rule and Graph based Attention Modules.

Ranjeet Ranjan Jha, B. V. Rathish Kumar, Sudhir K. Pathak, Arnav Bhavsar, Aditya Nigam

Medical Image Anal., 2023

PA-GAN: Parallel Attention Based Gan for Enhancement of FODF.

Ranjeet Ranjan Jha, Hritik Gupta, Sudhir K. Pathak, Ankita Joshi, Walter Schneider, B. V. Rathish Kumar, Arnav Bhavsar, Aditya Nigam

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022

Yield-SpikeSegNet: An Extension of SpikeSegNet Deep-Learning Approach for the Yield Estimation in the Wheat Using Visual Images.

Tanuj Misra, Alka Arora, Sudeep Marwaha, Ranjeet Ranjan Jha, Mrinmoy Ray, Shailendra Kumar, Sudhir Kumar, Viswanathan Chinnusamy

Appl. Artif. Intell., December, 2022

LFANET: Transforming 3T Single-Shell to 7T Multi-Shell DMRI Using Deep Learning Based Leapfrog and Attention.

Ranjeet Ranjan Jha, Sudhir K. Pathak, Walter Schneider, B. V. Rathish Kumar, Arnav Bhavsar, Aditya Nigam

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

MHATC: Autism Spectrum Disorder Identification Utilizing Multi-Head Attention Encoder Along with Temporal Consolidation Modules.

Ranjeet Ranjan Jha, Abhishek Bhardwaj, Devin Garg, Arnav Bhavsar, Aditya Nigam

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021

CED-Net: context-aware ear detection network for unconstrained images.

Aman Kamboj, Rajneesh Rani, Aditya Nigam, Ranjeet Ranjan Jha

Pattern Anal. Appl., 2021

Web-SpikeSegNet: Deep Learning Framework for Recognition and Counting of Spikes From Visual Images of Wheat Plants.

Tanuj Misra, Alka Arora, Sudeep Marwaha, Ranjeet Ranjan Jha, Mrinmoy Ray, Rajni Jain, Atmakuri Ramakrishna Rao, Eldho Varghese, Shailendra Kumar, Sudhir Kumar, Aditya Nigam, Rabi Narayan Sahoo, Viswanathan Chinnusamy

IEEE Access, 2021

Enhancing HARDI Reconstruction from Undersampled Data Via Multi-Context and Feature Inter-Dependency GAN.

Ranjeet Ranjan Jha, Hritik Gupta, Sudhir K. Pathak, Walter Schneider, B. V. Rathish Kumar, Arnav Bhavsar, Aditya Nigam

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020

PixISegNet: pixel-level iris segmentation network using convolutional encoder-decoder with stacked hourglass bottleneck.

Ranjeet Ranjan Jha, Gaurav Jaswal, Divij Gupta, Shreshth Saini, Aditya Nigam

IET Biom., 2020

UESegNet: Context Aware Unconstrained ROI Segmentation Networks for Ear Biometric.

Aman Kamboj, Rajneesh Rani, Aditya Nigam, Ranjeet Ranjan Jha

CoRR, 2020

HLGSNet: Hierarchical and Lightweight Graph Siamese Network with Triplet Loss for fMRI-based Classification of ADHD.

Ranjeet Ranjan Jha, Aditya Nigam, Arnav Bhavsar, Gaurav Jaswal, Sudhir K. Pathak, Rathish Kumar

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Multi-Shell D-MRI Reconstruction via Residual Learning utilizing Encoder-Decoder Network with Attention (MSR-Net).

Ranjeet Ranjan Jha, Aditya Nigam, Arnav Bhavsar, Sudhir K. Pathak, Walter Schneider, Rathish Kumar

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019

SP-NET: One Shot Fingerprint Singular-Point Detector.

Geetika Arora, Ranjeet Ranjan Jha, Akash Agrawal, Kamlesh Tiwari, Aditya Nigam

CoRR, 2019

AUTODEPTH: Single Image Depth Map Estimation via Residual CNN Encoder-Decoder and Stacked Hourglass.

Seema Kumari, Ranjeet Ranjan Jha, Arnav Bhavsar, Aditya Nigam

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

FS2Net: Fiber Structural Similarity Network (FS2Net) for Rotation Invariant Brain Tractography Segmentation Using Stacked LSTM Based Siamese Network.

Ranjeet Ranjan Jha, Shreyas Malakarjun Patil, Aditya Nigam, Arnav Bhavsar

Proceedings of the Computer Analysis of Images and Patterns, 2019

2018

Indoor-Outdoor Scene Classification with Residual Convolutional Neural Network.

Seema Kumari, Ranjeet Ranjan Jha, Arnav Bhavsar, Aditya Nigam

Proceedings of 3rd International Conference on Computer Vision and Image Processing - CVIP 2018, Jabalpur, India, September 29, 2018

2017

IPSegNet : Deep Convolutional Neural Network Based Segmentation Framework for Iris and Pupil.

Shreyas Malakarjun Patil, Ranjeet Ranjan Jha, Aditya Nigam

Proceedings of the 13th International Conference on Signal-Image Technology & Internet-Based Systems, 2017

UBSegNet: Unified Biometric Region of Interest Segmentation Network.

Ranjeet Ranjan Jha, Daksh Thapar, Shreyas Malakarjun Patil, Aditya Nigam

Proceedings of the 4th IAPR Asian Conference on Pattern Recognition, 2017