Akash Awasthi
Orcid: 0000-0002-8383-0637
According to our database1,
Akash Awasthi authored at least 19 papers
between 2022 and 2026.
Collaborative distances:
Collaborative distances:
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Bibliography
2026
Contrastive Integrated Gradients: A Feature Attribution-Based Method for Explaining Whole Slide Image Classification.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026
IMACT-CXR: An Interactive Multi-Agent Conversational Tutoring System for Chest X-Ray Interpretation.
Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026
2025
ConStruct: Structural Distillation of Foundation Models for Prototype-Based Weakly Supervised Histopathology Segmentation.
CoRR, December, 2025
DualProtoSeg: Simple and Efficient Design with Text- and Image-Guided Prototype Learning for Weakly Supervised Histopathology Image Segmentation.
CoRR, December, 2025
Contrastive Integrated Gradients: A Feature Attribution-Based Method for Explaining Whole Slide Image Classification.
CoRR, November, 2025
CoRR, July, 2025
Beyond the First Read: AI-Assisted Perceptual Error Detection in Chest Radiography Accounting for Interobserver Variability.
CoRR, June, 2025
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025
2024
Multimodal Learning and Cognitive Processes in Radiology: MedGaze for Chest X-ray Scanpath Prediction.
CoRR, 2024
Enhancing Radiological Diagnosis: A Collaborative Approach Integrating AI and Human Expertise for Visual Miss Correction.
CoRR, 2024
Proceedings of the 26th IEEE International Workshop on Multimedia Signal Processing, 2024
Decoding Radiologists' Intentions: A Novel System for Accurate Region Identification in Chest X-Ray Image Analysis.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
2023
Apoptosis classification using attention based spatio temporal graph convolution neural network.
CoRR, 2023
2022