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Aditya Nigam
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Publications
- 2023
- [j22]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: 107339 (2023) - [j21]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: 102806 (2023) - [c72]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: 1-5 - 2022
- [c70]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: 337-341 - [c69]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: 1-5 - [i17]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 abs/2201.00404 (2022) - 2021
- [c66]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: 1103-1106 - 2020
- [j7]Pankaj Kumar Jain, Saurabh Gupta, Arnav Bhavsar, Aditya Nigam, Neeraj Sharma:
Localization of common carotid artery transverse section in B-mode ultrasound images using faster RCNN: a deep learning approach. Medical Biol. Eng. Comput. 58(3): 471-482 (2020) - [c65]Preethi Srinivasan, Daksh Thapar, Arnav Bhavsar, Aditya Nigam:
Hierarchical X-Ray Report Generation via Pathology Tags and Multi Head Attention. ACCV (5) 2020: 600-616 - [c64]Preethi Srinivasan, Prabhjot Kaur, Aditya Nigam, Arnav Bhavsar:
Semantic Features Aided Multi-scale Reconstruction of Inter-Modality Magnetic Resonance Images. CBMS 2020: 110-113 - [c62]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: 1709-1713 - [c59]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: 1-7 - [i16]Preethi Srinivasan, Prabhjot Kaur, Aditya Nigam, Arnav Bhavsar:
Semantic Features Aided Multi-Scale Reconstruction of Inter-Modality Magnetic Resonance Images. CoRR abs/2006.12585 (2020) - 2019
- [c56]Chandrakant Sonawane, Dipendra Pratap Singh, Raghav Sharma, Aditya Nigam, Arnav Bhavsar:
Fabric Classification and Matching Using CNN and Siamese Network for E-commerce. CAIP (2) 2019: 193-205 - [c55]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: 459-469 - [c53]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: 340-344 - 2018
- [c45]Seema Kumari, Ranjeet Ranjan Jha, Arnav Bhavsar, Aditya Nigam:
Indoor-Outdoor Scene Classification with Residual Convolutional Neural Network. CVIP (2) 2018: 325-337 - [c42]Prabhjot Kaur, Aditya Sharma, Aditya Nigam, Arnav Bhavsar:
MR-Srnet: Transformation of Low Field MR Images to High Field MR Images. ICIP 2018: 2057-2061 - [c37]Aditya Sharma, Prabhjot Kaur, Aditya Nigam, Arnav Bhavsar:
Learning to Decode 7T-Like MR Image Reconstruction from 3T MR Images. DLMIA/ML-CDS@MICCAI 2018: 245-253 - [i9]Aditya Sharma, Prabhjot Kaur, Aditya Nigam, Arnav Bhavsar:
Learning to Decode 7T-like MR Image Reconstruction from 3T MR Images. CoRR abs/1806.06886 (2018) - 2017
- [i1]Shreyas Malakarjun Patil, Aditya Nigam, Arnav Bhavsar, Chiranjoy Chattopadhyay:
Siamese LSTM based Fiber Structural Similarity Network (FS2Net) for Rotation Invariant Brain Tractography Segmentation. CoRR abs/1712.09792 (2017) - 2016
- [c29]Vedang Patel, Anand Parmar, Arnav Bhavsar, Aditya Nigam:
Automated brain tractography segmentation using curvature points. ICVGIP 2016: 18:1-18:6
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