Suruchi Kumari

According to our database, Suruchi Kumari authored at least 16 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Integrating orthogonal supervision for sparse semi-supervised 3D medical image segmentation.

Suruchi Kumari, Pravendra Singh

Neural Networks, 2026

Learning with less: A survey of deep learning in medical imaging under varying supervision levels.

Suruchi Kumari, Pravendra Singh

Artif. Intell. Medicine, 2026

2025

Improving Medical Image Segmentation with Implicit Representation and Noisy Label Robustness.

Suruchi Kumari, Harshdeep Singh, Pravendra Singh

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

Addressing Label Scarcity and Domain Shift in Medical Image Segmentation.

Suruchi Kumari, Pravendra Singh

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

Optimizing Coverage-Driven Verification Using Machine Learning and PyUVM: A Novel Approach.

Suruchi Kumari, Deepak Narayan Gadde, Aman Kumar

Proceedings of the IEEE International Symposium on Circuits and Systems, 2025

Leveraging Fixed and Dynamic Pseudo-Labels in Cross-Supervision Framework for Semi-Supervised Medical Image Segmentation.

Suruchi Kumari, Pravendra Singh

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

Annotation Ambiguity Aware Semi-Supervised Medical Image Segmentation.

Suruchi Kumari, Pravendra Singh

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

A Unified Degradation-Robust Approach to SSL and UDA for 3D Medical Images.

Suruchi Kumari, Pravendra Singh

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Deep learning for unsupervised domain adaptation in medical imaging: Recent advancements and future perspectives.

Suruchi Kumari, Pravendra Singh

Comput. Biol. Medicine, March, 2024

Towards Efficient Design Verification - Constrained Random Verification using PyUVM.

Deepak Narayan Gadde, Suruchi Kumari, Aman Kumar

CoRR, 2024

Effective Design Verification - Constrained Random with Python and Cocotb.

Deepak Narayan Gadde, Suruchi Kumari, Aman Kumar

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

Leveraging Fixed and Dynamic Pseudo-labels for Semi-supervised Medical Image Segmentation.

Suruchi Kumari, Pravendra Singh

CoRR, 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

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, Thomas Mikolajick, Jens Trommer

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

2023

Data efficient deep learning for medical image analysis: A survey.

Suruchi Kumari, Pravendra Singh

CoRR, 2023