Sonit Singh

Orcid: 0000-0002-6485-131X

According to our database1, Sonit Singh authored at least 24 papers between 2018 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Enhanced Coronary Artery Segmentation in CTCA Using Bridging Centreline Integration.
Proceedings of the Medical Image Understanding and Analysis - 29th Annual Conference, 2025

Context-Aware LSTM for 3D Medical Image Localisation.
Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

Occlusion-aware Data Augmentation and Reconstruction for Improving Student Engagement in Online Learning Environments.
Proceedings of the 6th IEEE International Conference on Image Processing, 2025

2024
Designing a Robust Radiology Report Generation System.
CoRR, 2024

Clinical Context-aware Radiology Report Generation from Medical Images using Transformers.
CoRR, 2024

CoVScreen: Pitfalls and recommendations for screening COVID-19 using Chest X-rays.
CoRR, 2024

Computer-Aided Diagnosis of Thoracic Diseases in Chest X-rays using hybrid CNN-Transformer Architecture.
CoRR, 2024

Automatic 3D Multi-modal Ultrasound Segmentation of Human Placenta using Fusion Strategies and Deep Learning.
CoRR, 2024

Sigmoid Colon Localisation for Acute Diverticulitis Disease Using Sigloc 3D Convolution Neural Network.
Proceedings of 2024 International Conference on Medical Imaging and Computer-Aided Diagnosis, 2024

Deep Learning Approach for Renal Cell Carcinoma Detection, Subtyping, And Grading.
Proceedings of the IEEE International Conference on Image Processing, 2024

Automatic Segmentation of Human Placenta from 3D Multimodal Ultrasound Data.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2024

Masked-Enhanced Food Segment Anything Model for Automatic Dietary Intake Monitoring.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2024

Spectrogram-Based Imagification Applying Deep Learning on Omics Data.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2024

2023
Radiological Diagnosis of Chronic Liver Disease and Hepatocellular Carcinoma: A Review.
J. Medical Syst., December, 2023

Assessing Encoder-Decoder Architectures for Robust Coronary Artery Segmentation.
Proceedings of the 38th International Conference on Image and Vision Computing New Zealand, 2023

TSDNET: A Tumour Segmentation Network with 3D Direction-Wise Convolution.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Attention and Pooling based Sigmoid Colon Segmentation in 3D CT images.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2023

Visual Question Answering in the Medical Domain.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2023

2021
Show, tell and summarise: learning to generate and summarise radiology findings from medical images.
Neural Comput. Appl., 2021

2019
From Chest X-Rays to Radiology Reports: A Multimodal Machine Learning Approach.
Proceedings of the 2019 Digital Image Computing: Techniques and Applications, 2019

Biomedical Concept Detection in Medical Images: MQ-CSIRO at 2019 ImageCLEFmed Caption Task.
Proceedings of the Working Notes of CLEF 2019, 2019

2018
Natural Language Processing for Information Extraction.
CoRR, 2018

Modality Classification and Concept Detection in Medical Images Using Deep Transfer Learning.
Proceedings of the 2018 International Conference on Image and Vision Computing New Zealand, 2018

Pushing the Limits of Radiology with Joint Modeling of Visual and Textual Information.
Proceedings of ACL 2018, Melbourne, Australia, July 15-20, 2018, Student Research Workshop, 2018


  Loading...