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Your search keyword '"Roddan, Alfie"' showing total 9 results
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9 results on '"Roddan, Alfie"'

1. RGB to Hyperspectral: Spectral Reconstruction for Enhanced Surgical Imaging

Author

Czempiel, Tobias, Roddan, Alfie, Leiloglou, Maria, Hu, Zepeng, O'Neill, Kevin, Anichini, Giulio, Stoyanov, Danail, and Elson, Daniel

Subjects
Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Artificial Intelligence, Computer Science - Computer Vision and Pattern Recognition
Abstract

This study investigates the reconstruction of hyperspectral signatures from RGB data to enhance surgical imaging, utilizing the publicly available HeiPorSPECTRAL dataset from porcine surgery and an in-house neurosurgery dataset. Various architectures based on convolutional neural networks (CNNs) and transformer models are evaluated using comprehensive metrics. Transformer models exhibit superior performance in terms of RMSE, SAM, PSNR and SSIM by effectively integrating spatial information to predict accurate spectral profiles, encompassing both visible and extended spectral ranges. Qualitative assessments demonstrate the capability to predict spectral profiles critical for informed surgical decision-making during procedures. Challenges associated with capturing both the visible and extended hyperspectral ranges are highlighted using the MAE, emphasizing the complexities involved. The findings open up the new research direction of hyperspectral reconstruction for surgical applications and clinical use cases in real-time surgical environments., Comment: 10 pages, 4 figures, 3 tables

Published
2024

3. Explainable Image Classification with Improved Trustworthiness for Tissue Characterisation

Author

Roddan, Alfie, Xu, Chi, Ajlouni, Serine, Kakaletri, Irini, Charalampaki, Patra, Giannarou, Stamatia, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Greenspan, Hayit, editor, Madabhushi, Anant, editor, Mousavi, Parvin, editor, Salcudean, Septimiu, editor, Duncan, James, editor, Syeda-Mahmood, Tanveer, editor, and Taylor, Russell, editor

Published
2023
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4. Deep Regression with Spatial-Frequency Feature Coupling and Image Synthesis for Robot-Assisted Endomicroscopy

Author

Xu, Chi, Roddan, Alfie, Davids, Joseph, Weld, Alistair, Xu, Haozheng, Giannarou, Stamatia, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Wang, Linwei, editor, Dou, Qi, editor, Fletcher, P. Thomas, editor, Speidel, Stefanie, editor, and Li, Shuo, editor

Published
2022
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8. A c able‐driven soft robotic end‐effector actuator for probe‐based confocal laser endomicroscopy: Development and preclinical validation

Author

DeLorey, Charles, primary, Davids, Joseph D., additional, Cartucho, Joao, additional, Xu, Chi, additional, Roddan, Alfie, additional, Nimer, Amr, additional, Ashrafian, Hutan, additional, Darzi, Ara, additional, Thompson, Alex James, additional, Akhond, Saina, additional, Runciman, Mark, additional, Mylonas, George, additional, Giannarou, Stamatia, additional, and Avery, James, additional

Published
2022
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9. A cable‐driven soft robotic end‐effector actuator for probe‐based confocal laser endomicroscopy: Development and preclinical validation.

Author

DeLorey, Charles, Davids, Joseph D., Cartucho, Joao, Xu, Chi, Roddan, Alfie, Nimer, Amr, Ashrafian, Hutan, Darzi, Ara, Thompson, Alex James, Akhond, Saina, Runciman, Mark, Mylonas, George, Giannarou, Stamatia, and Avery, James

Subjects
ACTUATORS, ONCOLOGIC surgery, LASERS, BRAIN tumors, HISTOLOGY, SOFT robotics, SURGICAL robots
Abstract

Soft robotics is becoming a popular choice for end‐effectors. An end‐effector was designed that has various advantages including ease of manufacturing, simplicity and control. This device may have the advantage of enabling probe‐based devices to intraoperatively measure cancer histology, because it can flexibly and gently position a probe perpendicularly over an area of delicate tissue. This is demonstrated in a neurosurgical setting where accurate cancer resection has been limited by lack of accurate visualisation and impaired tumour margin delineation with the need for in‐situ histology. Conventional surgical robotic end‐effectors are unsuitable to accommodate a probe‐based confocal laser endomicroscopy (p‐CLE) probe because of their rigid and non‐deformable properties, which can damage the thin probe. We have therefore designed a new soft robotic platform, which is advantageous by conforming to the probe's shape to avoid damage and to facilitate precision scanning. [ABSTRACT FROM AUTHOR]

Published
2023
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