Focusnet: An Attention-Based Fully Convolutional Network for Medical Image Segmentation. - Chaitanya Kaul; Suresh Manandhar; Nick E. Pears (ISBI, 2019)

SAWNet: A Spatially Aware Deep Neural Network for 3D Point Cloud Processing. - Chaitanya Kaul; Nick E. Pears; Suresh Manandhar (CoRR, 2019)

Penalizing small errors using an Adaptive Logarithmic Loss. - Chaitanya Kaul; Nick E. Pears; Suresh Manandhar (CoRR, 2019)

Divided We Stand: A Novel Residual Group Attention Mechanism for Medical Image Segmentation. - Chaitanya Kaul; Nick E. Pears; Suresh Manandhar (CoRR, 2019)

Models of visual attention in deep residual CNNs - Chaitanya Kaul (2019)

Penalizing Small Errors Using an Adaptive Logarithmic Loss. - Chaitanya Kaul; Nick E. Pears; Hang Dai; Roderick Murray-Smith; Suresh Manandhar (ICPR Workshops (1), 2020)

FatNet: A Feature-attentive Network for 3D Point Cloud Processing. - Chaitanya Kaul; Nick E. Pears; Suresh Manandhar (ICPR, 2020)

Focusnet++: Attentive Aggregated Transformations For Efficient And Accurate Medical Image Segmentation. - Chaitanya Kaul; Nick E. Pears; Hang Dai; Roderick Murray-Smith; Suresh Manandhar (ISBI, 2021)

Prediction of weaning from mechanical ventilation using Convolutional Neural Networks. - Yan Jia 008; Chaitanya Kaul; Tom Lawton; Roderick Murray-Smith; Ibrahim Habli (Artif. Intell. Medicine, 2021)

CpT: Convolutional Point Transformer for 3D Point Cloud Processing. - Chaitanya Kaul; Joshua Mitton; Hang Dai; Roderick Murray-Smith (CoRR, 2021)

Rotation Equivariant 3D Hand Mesh Generation from a Single RGB Image. - Joshua Mitton; Chaitanya Kaul; Roderick Murray-Smith (CoRR, 2021)

Convolutional Point Transformer. - Chaitanya Kaul; Joshua Mitton; Hang Dai; Roderick Murray-Smith (ACCV (Workshops), 2022)

Optimizing Vision Transformers for Medical Image Segmentation. - Qianying Liu; Chaitanya Kaul; Jun Wang 121; Christos Anagnostopoulos 001; Roderick Murray-Smith; Fani Deligianni (ICASSP, 2023)

mmSense: Detecting Concealed Weapons with a Miniature Radar Sensor. - Kevin J. Mitchell; Khaled Kassem; Chaitanya Kaul; Valentin Kapitany; Philip Binner; Andrew Ramsay; Daniele Faccio; Roderick Murray-Smith (ICASSP, 2023)

Continuous Interaction with A Smart Speaker via Low-Dimensional Embeddings of Dynamic Hand Pose. - Songpei Xu; Chaitanya Kaul; Xuri Ge; Roderick Murray-Smith (ICASSP, 2023)

The Fully Convolutional Transformer for Medical Image Segmentation. - Athanasios Tragakis; Chaitanya Kaul; Roderick Murray-Smith; Dirk Husmeier (WACV, 2023)

The legibility of the imaged human brain. - James K. Ruffle; Robert J. Gray; Samia Mohinta; Guilherme Pombo; Chaitanya Kaul; Harpreet Hyare; Geraint Rees 001; Parashkev Nachev (CoRR, 2023)

Survey: Leakage and Privacy at Inference Time. - Marija Jegorova; Chaitanya Kaul; Charlie Mayor; Alison Q. O'Neil; Alexander Weir; Roderick Murray-Smith; Sotirios A. Tsaftaris (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

HpEIS: Learning Hand Pose Embeddings for Multimedia Interactive Systems. - Songpei Xu; Xuri Ge; Chaitanya Kaul; Roderick Murray-Smith (ICME, 2024)

Glfnet: Global-Local (Frequency) Filter Networks for Efficient Medical Image Segmentation. - Athanasios Tragakis; Qianying Liu; Chaitanya Kaul; Swalpa Kumar Roy; Hang Dai; Fani Deligianni; Roderick Murray-Smith; Daniele Faccio (ISBI, 2024)

Is One GPU Enough? Pushing Image Generation at Higher-Resolutions with Foundation Models. - Athanasios Tragakis; Marco Aversa; Chaitanya Kaul; Roderick Murray-Smith; Daniele Faccio (NeurIPS, 2024)

Computational limits to the legibility of the imaged human brain. - James K. Ruffle; Robert J. Gray; Samia Mohinta; Guilherme Pombo; Chaitanya Kaul; Harpreet Hyare; Geraint Rees 001; Parashkev Nachev (NeuroImage, 2024)

AI-Enabled Sensor Fusion of Time-of-Flight Imaging and mmWave for Concealed Metal Detection. - Chaitanya Kaul; Kevin J. Mitchell; Khaled Kassem; Athanasios Tragakis; Valentin Kapitany; Ilya Starshynov; Federica A. Villa; Roderick Murray-Smith; Daniele Faccio (Sensors, 2024)

IGAF: Incremental Guided Attention Fusion for Depth Super-Resolution. - Athanasios Tragakis; Chaitanya Kaul; Kevin J. Mitchell; Hang Dai; Roderick Murray-Smith; Daniele Faccio (CoRR, 2025)