Data efficient deep learning for medical image analysis: A survey. - Suruchi Kumari; Pravendra Singh (CoRR, 2023)

Dynamic Reconfigurable Security Cells Based on Emerging Devices Integrable in FDSOI Technology. - Niladri Bhattacharjee; Viktor Havel; Suruchi Kumari; Nima Kavand; Jorge Navarro Quijada; Akash Kumar 001; Thomas Mikolajick; Jens Trommer (DATE, 2024)

SPLAL: Similarity-based pseudo-labeling with alignment loss for semi-supervised medical image classification. - Md Junaid Mahmood; Pranaw Raj; Divyansh Agarwal; Suruchi Kumari; Pravendra Singh (Biomed. Signal Process. Control., 2024)

Leveraging Fixed and Dynamic Pseudo-labels for Semi-supervised Medical Image Segmentation. - Suruchi Kumari; Pravendra Singh (CoRR, 2024)

Leveraging Task-Specific Knowledge from LLM for Semi-Supervised 3D Medical Image Segmentation. - Suruchi Kumari; Aryan Das; Swalpa Kumar Roy; Indu Joshi; Pravendra Singh (CoRR, 2024)

Effective Design Verification - Constrained Random with Python and Cocotb. - Deepak Narayan Gadde; Suruchi Kumari; Aman Kumar (CoRR, 2024)

Towards Efficient Design Verification - Constrained Random Verification using PyUVM. - Deepak Narayan Gadde; Suruchi Kumari; Aman Kumar (CoRR, 2024)

Deep learning for unsupervised domain adaptation in medical imaging: Recent advancements and future perspectives. - Suruchi Kumari; Pravendra Singh (Comput. Biol. Medicine, 2024)

A Unified Degradation-Robust Approach to SSL and UDA for 3D Medical Images. - Suruchi Kumari; Pravendra Singh (AAAI, 2025)

Annotation Ambiguity Aware Semi-Supervised Medical Image Segmentation. - Suruchi Kumari; Pravendra Singh (CVPR, 2025)

Leveraging Fixed and Dynamic Pseudo-Labels in Cross-Supervision Framework for Semi-Supervised Medical Image Segmentation. - Suruchi Kumari; Pravendra Singh (CVPR Workshops, 2025)

Optimizing Coverage-Driven Verification Using Machine Learning and PyUVM: A Novel Approach. - Suruchi Kumari; Deepak Narayan Gadde; Aman Kumar (ISCAS, 2025)