Ranjeet Ranjan Jha

35 papers A* 1B 4Journal 18Unranked 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
PCCSegNet - An Attention-Based Encoder-Decoder Network for Determining Green Canopy Cover in Potato Crops Using Visual Imagery.
IEEE Access
Sunayan Saha, Tanuj Misra, Ranjeet Ranjan Jha, Debasish Chakraborty, Dibyendu Deb, Jagdev Sharma, Anil Sharma, Brajesh Singh, Nilimesh Mridha, Mrinmoy Ray, Shailendra Kumar, M. S. Dhanya
2026 J jnl
TrackletGPT: A Language-like GPT Framework for White Matter Tract Segmentation.
CoRR
Anoushkrit Goel, Simroop Singh, Ankita Joshi, Ranjeet Ranjan Jha, Chirag Ahuja, Aditya Nigam, Arnav Bhavsar
2026 J jnl
TractRLFusion: A GPT-Based Multi-Critic Policy Fusion Framework for Fiber Tractography.
CoRR
Ankita Joshi, Ashutosh Sharma, Anoushkrit Goel, Ranjeet Ranjan Jha, Chirag Ahuja, Arnav Bhavsar, Aditya Nigam
2025 A* conf
Fortifying Federated Learning Towards Trustworthiness via Auditable Data Valuation and Verifiable Client Contribution.
CVPR
K. Naveen Kumar, Ranjeet Ranjan Jha, C. Krishna Mohan, Ravindra Babu Tallamraju
2025 B conf
NoisConFuse-Net: Noise Perturbed Encoder with Complementary Fused Dual Decoder and CLIP based Contrastive Regulariser for CT Denoising.
IJCNN
Munish Daroch, Ranjeet Ranjan Jha, Aditya Nigam
2025 J jnl
TractoGPT: A GPT architecture for White Matter Segmentation.
CoRR
Anoushkrit Goel, Simroop Singh, Ankita Joshi, Ranjeet Ranjan Jha, Chirag Ahuja, Aditya Nigam, Arnav Bhavsar
2025 — conf
Tractogpt: A GPT Architecture for White Matter Tract Segmentation.
ISBI
Anoushkrit Goel, Simroop Singh, Ankita Joshi, Ranjeet Ranjan Jha, Chirag Ahuja, Aditya Nigam, Arnav Bhavsar
2024 B conf
Enhancing Anomaly Detection in Noisy Images: Unleashing the Power of Attention-Aware PDE Constraint Feature Denoiser Module.
IJCNN
Ranjeet Ranjan Jha, Andra Siva Sai Teja, Venkatesh Wadawadagi, Ravindra Babu Tallamraju
2024 J jnl
Enhancing Autism Spectrum Disorder identification in multi-site MRI imaging: A multi-head cross-attention and multi-context approach for addressing variability in un-harmonized data.
Artif. Intell. Medicine
Ranjeet Ranjan Jha, Arvind Muralie, Munish Daroch, Arnav Bhavsar, Aditya Nigam
2024 — conf
Tract-RLFormer: A Tract-Specific RL Policy Based Decoder-Only Transformer Network.
ICPR (13)
Ankita Joshi, Ashutosh Sharma, Anoushkrit Goel, Ranjeet Ranjan Jha, Chirag Kamal Ahuja, Arnav Bhavsar, Aditya Nigam
2024 J jnl
Tract-RLFormer: A Tract-Specific RL policy based Decoder-only Transformer Network.
CoRR
Ankita Joshi, Ashutosh Sharma, Anoushkrit Goel, Ranjeet Ranjan Jha, Chirag Ahuja, Arnav Bhavsar, Aditya Nigam
2024 — conf
TractoEmbed: Modular Multi-level Embedding Framework for White Matter Tract Segmentation.
ICPR (28)
Anoushkrit Goel, Bipanjit Singh, Ankita Joshi, Ranjeet Ranjan Jha, Chirag Ahuja, Aditya Nigam, Arnav Bhavsar
2024 J jnl
TractoEmbed: Modular Multi-level Embedding framework for white matter tract segmentation.
CoRR
Anoushkrit Goel, Bipanjit Singh, Ankita Joshi, Ranjeet Ranjan Jha, Chirag Ahuja, Aditya Nigam, Arnav Bhavsar
2023 J jnl
NeuroGAN: image reconstruction from EEG signals via an attention-based GAN.
Neural Comput. Appl.
Rahul Mishra, Krishan Sharma, Ranjeet Ranjan Jha, Arnav Bhavsar
2023 — conf
PA-GAN: Parallel Attention Based Gan for Enhancement of FODF.
ISBI
Ranjeet Ranjan Jha, Hritik Gupta, Sudhir K. Pathak, Ankita Joshi, Walter Schneider, B. V. Rathish Kumar, Arnav Bhavsar, Aditya Nigam
2023 J jnl
TrGANet: Transforming 3T to 7T dMRI using Trapezoidal Rule and Graph based Attention Modules.
Medical Image Anal.
Ranjeet Ranjan Jha, B. V. Rathish Kumar, Sudhir K. Pathak, Arnav Bhavsar, Aditya Nigam
2023 J jnl
Undersampled single-shell to MSMT fODF reconstruction using CNN-based ODE solver.
Comput. Methods Programs Biomed.
Ranjeet Ranjan Jha, B. V. Rathish Kumar, Sudhir K. Pathak, Walter Schneider, Arnav Bhavsar, Aditya Nigam
2022 — conf
LFANET: Transforming 3T Single-Shell to 7T Multi-Shell DMRI Using Deep Learning Based Leapfrog and Attention.
ISBI
Ranjeet Ranjan Jha, Sudhir K. Pathak, Walter Schneider, B. V. Rathish Kumar, Arnav Bhavsar, Aditya Nigam
2022 — conf
MHATC: Autism Spectrum Disorder Identification Utilizing Multi-Head Attention Encoder Along with Temporal Consolidation Modules.
EMBC
Ranjeet Ranjan Jha, Abhishek Bhardwaj, Devin Garg, Arnav Bhavsar, Aditya Nigam
2022 J jnl
MHATC: Autism Spectrum Disorder identification utilizing multi-head attention encoder along with temporal consolidation modules.
CoRR
Ranjeet Ranjan Jha, Abhishek Bhardwaj, Devin Garg, Arnav Bhavsar, Aditya Nigam
2022 J jnl
Yield-SpikeSegNet: An Extension of SpikeSegNet Deep-Learning Approach for the Yield Estimation in the Wheat Using Visual Images.
Appl. Artif. Intell.
Tanuj Misra, Alka Arora, Sudeep Marwaha, Ranjeet Ranjan Jha, Mrinmoy Ray, Shailendra Kumar, Sudhir Kumar, Viswanathan Chinnusamy
2021 J jnl
CED-Net: context-aware ear detection network for unconstrained images.
Pattern Anal. Appl.
Aman Kamboj, Rajneesh Rani, Aditya Nigam, Ranjeet Ranjan Jha
2021 — conf
Enhancing HARDI Reconstruction from Undersampled Data Via Multi-Context and Feature Inter-Dependency GAN.
ISBI
Ranjeet Ranjan Jha, Hritik Gupta, Sudhir K. Pathak, Walter Schneider, B. V. Rathish Kumar, Arnav Bhavsar, Aditya Nigam
2021 J jnl
Web-SpikeSegNet: Deep Learning Framework for Recognition and Counting of Spikes From Visual Images of Wheat Plants.
IEEE Access
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
2020 B conf
HLGSNet: Hierarchical and Lightweight Graph Siamese Network with Triplet Loss for fMRI-based Classification of ADHD.
IJCNN
Ranjeet Ranjan Jha, Aditya Nigam, Arnav Bhavsar, Gaurav Jaswal, Sudhir K. Pathak, Rathish Kumar
2020 — conf
Multi-Shell D-MRI Reconstruction via Residual Learning utilizing Encoder-Decoder Network with Attention (MSR-Net).
EMBC
Ranjeet Ranjan Jha, Aditya Nigam, Arnav Bhavsar, Sudhir K. Pathak, Walter Schneider, Rathish Kumar
2020 J jnl
PixISegNet: pixel-level iris segmentation network using convolutional encoder-decoder with stacked hourglass bottleneck.
IET Biom.
Ranjeet Ranjan Jha, Gaurav Jaswal, Divij Gupta, Shreshth Saini, Aditya Nigam
2020 J jnl
UESegNet: Context Aware Unconstrained ROI Segmentation Networks for Ear Biometric.
CoRR
Aman Kamboj, Rajneesh Rani, Aditya Nigam, Ranjeet Ranjan Jha
2019 B conf
AUTODEPTH: Single Image Depth Map Estimation via Residual CNN Encoder-Decoder and Stacked Hourglass.
ICIP
Seema Kumari, Ranjeet Ranjan Jha, Arnav Bhavsar, Aditya Nigam
2019 — conf
FS2Net: Fiber Structural Similarity Network (FS2Net) for Rotation Invariant Brain Tractography Segmentation Using Stacked LSTM Based Siamese Network.
CAIP (2)
Ranjeet Ranjan Jha, Shreyas Malakarjun Patil, Aditya Nigam, Arnav Bhavsar
2019 J jnl
SP-NET: One Shot Fingerprint Singular-Point Detector.
CoRR
Geetika Arora, Ranjeet Ranjan Jha, Akash Agrawal, Kamlesh Tiwari, Aditya Nigam
2018 — conf
Indoor-Outdoor Scene Classification with Residual Convolutional Neural Network.
CVIP (2)
Seema Kumari, Ranjeet Ranjan Jha, Arnav Bhavsar, Aditya Nigam
2017 — conf
IPSegNet : Deep Convolutional Neural Network Based Segmentation Framework for Iris and Pupil.
SITIS
Shreyas Malakarjun Patil, Ranjeet Ranjan Jha, Aditya Nigam
2017 — conf
UBSegNet: Unified Biometric Region of Interest Segmentation Network.
ACPR
Ranjeet Ranjan Jha, Daksh Thapar, Shreyas Malakarjun Patil, Aditya Nigam
2017 J jnl
UBSegNet: Unified Biometric Region of Interest Segmentation Network.
CoRR
Ranjeet Ranjan Jha, Daksh Thapar, Shreyas Malakarjun Patil, Aditya Nigam