Komal Kumar

Orcid: 0009-0009-9030-8191

According to our database1, Komal Kumar authored at least 13 papers between 2023 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Weakly supervised learning based bone abnormality detection from musculoskeletal x-rays.
Multim. Tools Appl., May, 2025

On fully entangled fraction and quantum conditional entropies for states with maximally mixed marginals.
Quantum Inf. Process., March, 2025

Self-Evolving Multi-Agent Simulations for Realistic Clinical Interactions.
CoRR, March, 2025

LLM Post-Training: A Deep Dive into Reasoning Large Language Models.
CoRR, February, 2025

Robust semantic learning for precise medical image segmentation.
Biomed. Signal Process. Control., 2025

Self-Supervised Anomaly Segmentation via Diffusion Models with Dynamic Transformer UNet.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

IHA-YOLO: Inter-Head Attention for Real-Time Cell Detection.
Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

2024
Unleashing the power of explainable AI: sepsis sentinel's clinical assistant for early sepsis identification.
Multim. Tools Appl., 2024

Confidence-Guided Semi-supervised Learning for Generalized Lesion Localization in X-Ray Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

InVERGe: Intelligent Visual Encoder for Bridging Modalities in Report Generation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Self-supervised Diffusion Model for Anomaly Segmentation in Medical Imaging.
Proceedings of the Pattern Recognition and Machine Intelligence, 2023

An Explainable AI based Clinical Assistance Model for Identifying Patients with the Onset of Sepsis.
Proceedings of the 24th IEEE International Conference on Information Reuse and Integration for Data Science, 2023

Robust MSFM Learning Network for Classification and Weakly Supervised Localization.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023


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