Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.
Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
Browsing by Subject segmentation
Showing results 1 to 17 of 17
| Issue Date | Title | Author(s) |
|---|---|---|
| 22-Apr-2023 | Accurate Bayesian segmentation of thalamic nuclei using diffusion MRI and an improved histological atlas | Tregidgo, HFJ; Soskic, S; Althonayan, J; Maffei, C; Leemput, KV; Golland, P; Insausti, R; Lerma-Usabiaga, G; Caballero-Gaudes, C; Paz-Alonso, PM; Yendiki, A; Alexander, DC; Bocchetta, M; Rohrer, JD; Iglesias, JE |
| 1-Jul-2024 | Automated Left Ventricle Segmentation in Echocardiography Using YOLO: A Deep Learning Approach for Enhanced Cardiac Function Assessment | Balasubramani, M; Sung, C-W; Hsieh, M-Y; Huang, EP-C; Shieh, J-S; Abbod, MF |
| 17-Feb-2024 | Concurrent Learning Approach for Estimation of Pelvic Tilt from Anterior–Posterior Radiograph | Jodeiri, A; Seyedarabi, H; Danishvar, S; Shafiei, SH; Sales, JG; Khoori, M; Rahimi, S; Mortazavi, SMJ |
| 2021 | Deep learning assisted MRI guided attenuation correction in PET | Mecheter, Imene |
| 5-Jan-2021 | Deep Learning based Segmentation for Multi MR Imaging Protocols using Transfer Learning for PET Attenuation Correction. | Mecheter, I; Amira, A; Abbod, M; Zaidi, H |
| 1-Mar-2020 | Development of a three-dimensional printed heart from computed tomography images of a plastinated specimen for learning anatomy | Radzi, S; Tan, HKJ; Tan, GJS; Yeong, WY; Ferenczi, MA; Low-Beer, N; Mogali, SR |
| 2-Apr-2020 | DO-U-Net for Segmentation and Counting: Applications to Satellite and Medical Images | Overton, T; Tucker, A |
| 27-Jul-2023 | Elemental Images Labelling and Grouping to Minimise Disparity Error in Texture-less Regions of Holoscopic Images | Almatrouk, B; Meng, H; Swash, R |
| 23-Apr-2024 | Financial Integration of the European, North America, Asiatic and Japanese stock markets from 2003 to present times | Penco, V; Lucas, C |
| 6-Jun-2019 | Moving Object Detection using Adaptive Blind Update and RGB-D Camera | Dorudian, N; Lauria, S; Swift, S |
| 26-Feb-2024 | Performance Evaluation of Retinal OCT Fluid Segmentation, Detection and Generalisation over Variations of Data Sources | Ndipenoch, N; Miron, A; Li, Y |
| 2-Jan-2025 | SegRap2023: A benchmark of organs-at-risk and gross tumor volume Segmentation for Radiotherapy Planning of Nasopharyngeal Carcinoma | Luo, X; Fu, J; Zhong, Y; Liu, S; Han, B; Astaraki, M; Bendazzoli, S; Toma-Dasu, I; Ye, Y; Chen, Z; Xia, Y; Su, Y; Ye, J; He, J; Xing, Z; Wang, H; Zhu, L; Yang, K; Fang, X; Wang, Z; Lee, CW; Park, SJ; Chun, J; Ulrich, C; Maier-Hein, KH; Ndipenoch, N; Miron, A; Li, Y; Zhang, Y; Chen, Y; Bai, L; Huang, J; An, C; Wang, L; Huang, K; Gu, Y; Zhou, T; Zhou, M; Zhang, S; Liao, W; Wang, G; Zhang, S |
| 30-Nov-2022 | Semi-supervised medical image segmentation using adversarial consistency learning and dynamic convolution network | Lei, T; Zhang, D; Du, X; Wang, X; Wan, Y; Nandi, AK |
| 15-Oct-2024 | A (sub)field guide to quality control in hippocampal subfield segmentation on high‐resolution <scp>T<sub>2</sub></scp>‐weighted <scp>MRI</scp> | Canada, KL; Mazloum‐Farzaghi, N; Rådman, G; Adams, JN; Bakker, A; Baumeister, H; Berron, D; Bocchetta, M; Carr, VA; Dalton, MA; de Flores, R; Keresztes, A; La Joie, R; Mueller, SG; Raz, N; Santini, T; Shaw, T; Stark, CEL; Tran, TT; Wang, L; Wisse, LEM; Wuestefeld, A; Yushkevich, PA; Olsen, RK; Daugherty, AM |
| 12-Dec-2022 | SVTON: Simplified Virtual Try-On | Islam, T; Miron, A; Liu, X; Li, Y |
| 26-Jun-2024 | UNet and Variants for Medical Image Segmentation | Ehab, W; Huang, L; Li, Y |
| 21-Sep-2022 | Zero-Defect Manufacturing and Automated Defect Detection Using Time of Flight Diffraction (TOFD) Images | Subramaniam, S; Kanfoud, J; Gan, TH |