Research

Sponsored Projects:

1.Design and Implementation of Efficient Strategies for Whole Body Diffusion Weighted MRI in Comprehensive Cancer Screening, ANRF Early Career Research Grant, 3 Years, Role: Principle Investigator (PI), Amount~2900000.

2. Development of Automated Software Platform for InSolare Process Optimization Using Image Processing and Machine Learning, Insolar Energy Ltd. Role: Co-Principle Investigator (co PI), Amount~ 3900000 (Industry Sponsored Project)

Pre-prints:

1. Prasun Chandra Tripathi, Sina Tabakhi, Mohammod N I Suvon, Lawrence Schöb, Samer Alabed, Andrew J Swift, Shuo Zhou, Haiping Lu (2024). Interpretable Multimodal Learning for Cardiovascular Hemodynamics Assessment, DOI: https://doi.org/10.48550/arXiv.2404.04718

Journal Articles:

1.    Prasun Chandra Tripathi and Soumen Bag (2023). An attention-guided deep learning framework for segmentation and grading of glioma using 3D MRI scans. IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB), IEEE, 20(3), 1890-1904 (IF: 4.5) 

2.   Prasun Chandra Tripathi and Soumen Bag (2022). A Computer-Aided Grading of Glioma Tumor using Deep Residual Networks Fusion. Computer Methods and Programs in Biomedicine (CMPB), 215, article no. 106597, Elsevier, (IF: 6.1)

3.    Prasun Chandra Tripathi and Soumen Bag (2020). CNN-DMRI: a convolutional neural network for denoising of magnetic resonance images. Pattern Recognition Letters (PRL), 135, 57–63, Elsevier  (IF: 5.1)

4.    Prasun Chandra Tripathi and Soumen Bag (2020). Segmentation of brain magnetic resonance images using a novel fuzzy clustering based method. IET Image Processing, 14(15), 3705–3717, IET Digital Library (IF: 2.3)

5. Kausik Sarkar, Soumen Bag, and Prasun Chandra Tripathi (2024). Noise aware content-noise complementary GAN with local and global discrimination for low-dose CT denoising. Neurocomputing, Elsevier (IF: 6.0)

6. 

Conference Proceedings:

1. Mohammod N. I. Suvon, Prasun Chandra Tripathi, Wenrui Fan, Shuo Zhou, Xianyuan Liu, Samer Alabed, Venet Osmani, Andrew J. Swift, Chen Chen, Haiping Lu  (2024). Multimodal Variational Autoencoder for Low-cost Cardiac Hemodynamics Instability Detection.In Medical Image Computing and Computer Assisted Intervention (MICCAI 24) DOI: https://doi.org/10.48550/arXiv.2403.13658, Marrakesh, Morroco .

2. D Selvarajah, Prasun Chandra Tripathi, K Teh, S Zhou, MNI Suvon, S Tesfaye, J Wild, D Bennett, A Segerdahl, D Steel, L Colvin, H Lu (2024), Leveraging artificial intelligence for predicting placebo vs treatment response in painful diabetic neuropathy, In 60th EASD Annual Meeting, DIABETOLOGIA, S444-S444, Madrid, Spain.     

3. Prasun Chandra Tripathi, Md. N. Suvon,  Lawrence Schob, Shuo Zhou, Samer Alabed, Andy J Swift, and Haiping Lu (2023). Tensor-based Multimodal Learning for Prediction of Pulmonary Arterial Wedge Pressure from Cardiac MRI. In Medical Image Computing and Computer Assisted Intervention (MICCAI 23) , (pp.206-215), Vancouver, Canada.[Top medical imaging conference] 

4. Md. N. Suvon, Prasun Chandra Tripathi, Samer Alabed, Andy J Swift, and Haiping Lu (2022). Multimodal Learning for Predicting Mortality in Patients with Pulmonary Arterial Hypertension. In International Conference on Bioinformatics and Biomedicine (BIBM 22) (pp. 2704-2710). Las Vegas, USA. 

5. Prasun Chandra Tripathi and Soumen Bag (2021). A dilated convolution-based denoising network for magnetic resonance images. In Proceedings of the International Joint Conference on Neural Networks (IJCNN 21) (pp. 1-8). Shenzhen, China.

6. Arkojyoti Mitra, Prasun Chandra Tripathi, and Soumen Bag (2020). Identification of astrocytoma grade using intensity, texture, and shape based features. In Proceedings of the Soft Computing for Problem Solving (SocPros 2020) (pp. 455-465). Vellore, India.

7. Soumyadipta Sarkar, Prasun Chandra Tripathi, and Soumen Bag (2020). An improved non-local means denoising technique for brain MRI. In Proceedings of the computational intelligence in pattern recognition (CIPR 2020) (pp. 765-773). Kolkata, India.

8. Prasun Chandra Tripathi and Soumen Bag (2020). Non-invasively grading of brain tumor through noise robust textural and intensity based features. In Proceedings of the computational intelligence in pattern recognition (CIPR 2020) (pp. 531-539). Kolkata, India.

9. Prasun Chandra Tripathi and Rajarshi Pal (2016). Content-aware image retargeting with controlled distortion for small displays. In Proceedings of the international conference on advances in computing, communications and informatics (ICACCI 16) (pp. 193-200). Jaipur, India.

10. Mouli Laha, Prasun Chandra Tripathi, and Soumen Bag (2018). A skull stripping from brain MRI using adaptive iterative thresholding and mathematical morphology. In Proceedings of the Recent Advances in Information Technology (RAIT 18) (pp. 1-6). Dhanbad, India.

Book Chapter:

1.     Rajarshi Pal and Prasun Chandra Tripathi (2015). Content-aware image retargeting: A survey. In R. Pal (Ed.), Innovative research in attention modeling and computer vision applications (pp. 115–131). IGI Global.

Review Services: 

IEEE Transactions on Medical Imaging,  Medical Image Analysis, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Cognitive and Development Systems, Human Brain Mapping, MICCAI, IJCNN, etc.

Editorial Services: Scientific Reports