Ranjeet Ranjan Jha

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 22

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Publications

Ranjeet Ranjan Jha, B. V. Rathish Kumar, Sudhir K. Pathak, Arnav Bhavsar, Aditya Nigam
TrGANet: Transforming 3T to 7T dMRI using Trapezoidal Rule and Graph based Attention Modules. Medical Image Anal. 87 (2023)
Ranjeet Ranjan Jha, Hritik Gupta, Sudhir K. Pathak, Ankita Joshi, Walter Schneider, B. V. Rathish Kumar, Arnav Bhavsar, Aditya Nigam
PA-GAN: Parallel Attention Based Gan for Enhancement of FODF. ISBI (2023)
Ranjeet Ranjan Jha, B. V. Rathish Kumar, Sudhir K. Pathak, Walter Schneider, Arnav Bhavsar, Aditya Nigam
Undersampled single-shell to MSMT fODF reconstruction using CNN-based ODE solver. Comput. Methods Programs Biomed. 230 (2023)
Rahul Mishra, Krishan Sharma, Ranjeet Ranjan Jha, Arnav Bhavsar
NeuroGAN: image reconstruction from EEG signals via an attention-based GAN. Neural Comput. Appl. 35 (12) (2023)
Tanuj Misra, Alka Arora, Sudeep Marwaha, Ranjeet Ranjan Jha, Mrinmoy Ray, Shailendra Kumar, Sudhir Kumar, Viswanathan Chinnusamy
Yield-SpikeSegNet: An Extension of SpikeSegNet Deep-Learning Approach for the Yield Estimation in the Wheat Using Visual Images. Appl. Artif. Intell. 36 (1) (2022)
Ranjeet Ranjan Jha, Sudhir K. Pathak, Walter Schneider, B. V. Rathish Kumar, Arnav Bhavsar, Aditya Nigam
LFANET: Transforming 3T Single-Shell to 7T Multi-Shell DMRI Using Deep Learning Based Leapfrog and Attention. ISBI (2022)
Ranjeet Ranjan Jha, Abhishek Bhardwaj, Devin Garg, Arnav Bhavsar, Aditya Nigam
MHATC: Autism Spectrum Disorder identification utilizing multi-head attention encoder along with temporal consolidation modules. CoRR (2022)
Ranjeet Ranjan Jha, Abhishek Bhardwaj, Devin Garg, Arnav Bhavsar, Aditya Nigam
MHATC: Autism Spectrum Disorder Identification Utilizing Multi-Head Attention Encoder Along with Temporal Consolidation Modules. EMBC (2022)
Ranjeet Ranjan Jha, Hritik Gupta, Sudhir K. Pathak, Walter Schneider, B. V. Rathish Kumar, Arnav Bhavsar, Aditya Nigam
Enhancing HARDI Reconstruction from Undersampled Data Via Multi-Context and Feature Inter-Dependency GAN. ISBI (2021)
Tanuj Misra, Alka Arora, Sudeep Marwaha, Ranjeet Ranjan Jha, Mrinmoy Ray, Rajni Jain, A. R. Rao, Eldho Varghese, Shailendra Kumar, Sudhir Kumar, Aditya Nigam, Rabi Narayan Sahoo, Viswanathan Chinnusamy
Web-SpikeSegNet: Deep Learning Framework for Recognition and Counting of Spikes From Visual Images of Wheat Plants. IEEE Access 9 (2021)
Aman Kamboj, Rajneesh Rani, Aditya Nigam, Ranjeet Ranjan Jha
CED-Net: context-aware ear detection network for unconstrained images. Pattern Anal. Appl. 24 (2) (2021)
Aman Kamboj, Rajneesh Rani, Aditya Nigam, Ranjeet Ranjan Jha
UESegNet: Context Aware Unconstrained ROI Segmentation Networks for Ear Biometric. CoRR (2020)
Ranjeet Ranjan Jha, Aditya Nigam, Arnav Bhavsar, Sudhir K. Pathak, Walter Schneider, Rathish Kumar
Multi-Shell D-MRI Reconstruction via Residual Learning utilizing Encoder-Decoder Network with Attention (MSR-Net). EMBC (2020)
Ranjeet Ranjan Jha, Aditya Nigam, Arnav Bhavsar, Gaurav Jaswal, Sudhir K. Pathak, Rathish Kumar
HLGSNet: Hierarchical and Lightweight Graph Siamese Network with Triplet Loss for fMRI-based Classification of ADHD. IJCNN (2020)
Ranjeet Ranjan Jha, Gaurav Jaswal, Divij Gupta, Shreshth Saini, Aditya Nigam
PixISegNet: pixel-level iris segmentation network using convolutional encoder-decoder with stacked hourglass bottleneck. IET Biom. 9 (1) (2020)
Ranjeet Ranjan Jha, Shreyas Malakarjun Patil, Aditya Nigam, Arnav Bhavsar
FS2Net: Fiber Structural Similarity Network (FS2Net) for Rotation Invariant Brain Tractography Segmentation Using Stacked LSTM Based Siamese Network. CAIP (2) (2019)
Geetika Arora, Ranjeet Ranjan Jha, Akash Agrawal, Kamlesh Tiwari, Aditya Nigam
SP-NET: One Shot Fingerprint Singular-Point Detector. CoRR (2019)
Seema Kumari, Ranjeet Ranjan Jha, Arnav Bhavsar, Aditya Nigam
AUTODEPTH: Single Image Depth Map Estimation via Residual CNN Encoder-Decoder and Stacked Hourglass. ICIP (2019)
Seema Kumari, Ranjeet Ranjan Jha, Arnav Bhavsar, Aditya Nigam
Indoor-Outdoor Scene Classification with Residual Convolutional Neural Network. CVIP (2) (2018)
Ranjeet Ranjan Jha, Daksh Thapar, Shreyas Malakarjun Patil, Aditya Nigam
UBSegNet: Unified Biometric Region of Interest Segmentation Network. ACPR (2017)
Shreyas Malakarjun Patil, Ranjeet Ranjan Jha, Aditya Nigam
IPSegNet : Deep Convolutional Neural Network Based Segmentation Framework for Iris and Pupil. SITIS (2017)
Ranjeet Ranjan Jha, Daksh Thapar, Shreyas Malakarjun Patil, Aditya Nigam
UBSegNet: Unified Biometric Region of Interest Segmentation Network. CoRR (2017)