Key Research Areas
1. Multimodal Medical Image Fusion using Brain Images
2.
Treatment Response Prediction in Rectal Cancer
3.
Segmenting tumor using multiplanar MRI images
About
Currently, I am working as Assistant Professor, in the School of Computing & Electrical Engineering, at IIT Mandi. I have completed my bachelor's in Electronics and Communication Engineering from U.P. Technical University, Lucknow. After completing my bachelor's I realized my special interest in academia and hence pursued my passion for teaching for a couple of years. To expand my knowledge further, I have completed my Master's and Doctoral Degrees from EE Department, IIT Roorkee under Prof. R. S. Anand. My thesis was about "Multimodal Image Fusion using brain images". I have worked on CT/MRI/PET/SPECT images. Before joining IIT Mandi, I was working as Postdoctoral Researcher at Case Western Reserve University, Cleveland, USA under Dr. Satish Viswanath (INVent lab). My current research interest is to develop a prognostic tool to identify treatment responses in rectal cancer patients.
I am open to explore new edges in AI for healthcare and curious to expand my research ideas.
Recent Publications
1. DeSilvio, Thomas, Leo Bao, Dhruv Seth, Prathyush Chirra, Sneha Singh, Atreya Sridharan, Murad Labbad, et al. “Integrating Multi-Plane and Multi-Region Radiomic Features to Predict Pathologic Response to Neoadjuvant Chemoradiation in Rectal Cancers via Pre-Treatment MRI.” In Medical Imaging 2023: Image-Guided Procedures, Robotic Interventions, and Modeling, 12466:144–49. SPIE, 2023.
2.
Sadri, Amir Reza, Thomas DeSilvio, Prathyush Chirra, Sneha Singh, and Satish E Viswanath. “Residual Wavelon Convolutional Networks for Characterization of Disease Response on MRI.” In Medical Image Computing and Computer Assisted Intervention–MICCAI 2022: 25th International Conference, Singapore, September 18–22, 2022, Proceedings, Part III, 366–75. Springer Nature Switzerland Cham, 2022.
3.
Singh, Sneha, and Radhey Shyam Anand. “Multimodal Medical Image Fusion Using Hybrid Layer Decomposition with CNN-Based Feature Mapping and Structural Clustering.” IEEE Transactions on Instrumentation and Measurement 69, no. 6 (2019): 3855–65.
4.
“Multimodal Medical Image Sensor Fusion Model Using Sparse K-SVD Dictionary Learning in Nonsubsampled Shearlet Domain.” IEEE Transactions on Instrumentation and Measurement 69, no. 2 (2019): 593–607.
5.
“Multimodal Neurological Image Fusion Based on Adaptive Biological Inspired Neural Model in Nonsubsampled Shearlet Domain.” International Journal of Imaging Systems and Technology 29, no. 1 (2019): 50–64.
6.
“Ripplet Domain Fusion Approach for CT and MR Medical Image Information.” Biomedical Signal Processing and Control 46 (2018): 281–92.
Singh, Sneha, Radhey Shyam Anand, and Deep Gupta. “CT and MR Image Information Fusion Scheme Using a Cascaded Framework in Ripplet and NSST Domain.” IET Image Processing 12, no. 5 (2018): 696–707.
7.
Singh, Sneha, Thomas DeSilvio, Andrei Purysko, Raj M Paspulati, Ken Friedman, David Liska, Sharon Stein, Smitha S Krishnamurthi, and Satish Easwar Viswanath. “Computerized Features of Tumor Diversity on Pre-Chemoradiation MRI Are Associated with Pathologic Complete Response in Rectal Cancers: A Multi-Institutional Study.” American Society of Clinical Oncology, 2022.
Course Taught
1. Digital Signal Processing
2. Digital Image Processing
