Kanwal K. Bhatia

Computer Science · Physical Sciences

16h-index1.4kcitations48works1.02yr avg
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Research Topics

Medical Image Segmentation Techniques(13), Advanced MRI Techniques and Applications(8), Neonatal and fetal brain pathology(7), Image Retrieval and Classification Techniques(6), Medical Imaging Techniques and Applications(5)

Publications48 total

A multimodal slice discovery framework for systematic failure detection and explanation in medical image classification
Spiral (Imperial College London)·2026Open Access
Generative Networks for Image Generation in East Asia’s Innovation Systems: A Bibliometric Analysis
Journal of Scientometric Research·2025Open Access
Temporal Image-Based Pseudo-Random Bit Generator: Harnessing Time Seeds and Input Images
Smart innovation, systems and technologies·2025
Robustness Testing of Black-Box Models Against CT Degradation Through Test-Time Augmentation
arXiv (Cornell University)·2024· 1 citedOpen Access
Evaluation of Randomized Input Sampling for Explanation (RISE) for 3D XAI - Proof of Concept for Black-Box Brain-Hemorrhage Classification
Lecture notes in electrical engineering·2024· 4 cited
Spatio-temporal classification for polyp diagnosis
Biomedical Optics Express·2022· 5 citedOpen Access
Polyp detection on video colonoscopy using a hybrid 2D/3D CNN
Medical Image Analysis·2022· 45 citedOpen Access
PD-0730 Convolutional Neural Network to predict Deep Inspiration Breath Hold eligibility using Chest X-Ray
Radiotherapy and Oncology·2021· 3 cited
Evaluation of Automated Multiclass Fluid Segmentation in Optical Coherence Tomography Images Using the Pegasus Fluid Segmentation Algorithms
Translational Vision Science & Technology·2021· 6 citedOpen Access
Evaluation of Active Learning Techniques on Medical Image Classification with Unbalanced Data Distributions
Lecture notes in computer science·2021· 3 cited
Contrastive Learning for View Classification of Echocardiograms
Lecture notes in computer science·2021Open Access
Endoscopic Polyp Segmentation Using a Hybrid 2D/3D CNN
Lecture notes in computer science·2020· 36 cited
DISEASE CLASSIFICATION OF MACULAR OPTICAL COHERENCE TOMOGRAPHY SCANS USING DEEP LEARNING SOFTWARE
Retina·2019· 29 cited
Disease classification of macular Optical Coherence Tomography scans using deep learning software: validation on independent, multi-centre data
arXiv (Cornell University)·2019· 2 citedOpen Access
Disease classification of macular Optical Coherence Tomography scans\n using deep learning software: validation on independent, multi-centre data
arXiv (Cornell University)·2019Open Access
Dense volumetric detection and segmentation of mediastinal lymph nodes in chest CT images
Medical Imaging 2018: Computer-Aided Diagnosis·2018· 33 cited
Automated mediastinal lymph node detection from CT volumes based on intensity targeted radial structure tensor analysis
Journal of Medical Imaging·2017· 9 citedOpen Access
Hessian-assisted supervoxel: structure-oriented voxel clustering and application to mediastinal lymph node detection from CT volumes
Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE·2017· 4 cited
Fast Registration of 3D Fetal Ultrasound Images Using Learned Corresponding Salient Points
Lecture notes in computer science·2017· 11 cited
TBS: Tensor-Based Supervoxels for Unfolding the Heart
Lecture notes in computer science·2017· 1 cited
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Frequent Co-authors

Daniel Rueckert(23), Joseph V. Hajnal(18), James P. Boardman(11), Mary Rutherford(11), A. David Edwards(11), Paul Aljabar(9), Serena J. Counsell(7), Julia A. Schnabel(7), Olga Kapellou(5), Joanna Allsop(5), Leigh Dyet(5), Kensaku Mori(5), L. Srinivasan(5), Anthony N. Price(5), Hirohisa Oda(4), Masahiro Oda(4), Takayuki Kitasaka(4), Mark S. Graham(4), Ashley Wood(4), Sameer Trikha(4)