Frontiers in Radiology: 2023, vol: 3, issue:
- 1)- Zheng Li, Cheng Yan, Guo-Xiang Hu, Rui Zhao, Hang Jin, Hong Yun, Zheng Wei, Cui-Zhen Pan, Xian-Hong Shu, Meng-Su Zeng. Layer-specific strain in patients with cardiac amyloidosis using tissue tracking MR. Frontiers in radiology. 2023, 3: 1115527
Cited : 1Read More - 2)- Amine Bouhamama, Benjamin Leporq, Khuram Faraz, Jean-Philippe Foy, Maxime Boussageon, Maurice Pérol, Sandra Ortiz-Cuaran, François Ghiringhelli, Pierre Saintigny, Olivier Beuf, Frank Pilleul. Radiomics combined with transcriptomics to predict response to immunotherapy from patients treated with PD-1/PD-L1 inhibitors for advanced NSCLC. Frontiers in radiology. 2023, 3: 1168448Cited : 1Read More
- 3)- Chaowei Wu, Nan Wang, Srinivas Gaddam, Lixia Wang, Hui Han, Kyunghyun Sung, Anthony G Christodoulou, Yibin Xie, Stephen Pandol, Debiao Li. Retrospective quantification of clinical abdominal DCE-MRI using pharmacokinetics-informed deep learning: a proof-of-concept study. Frontiers in radiology. 2023, 3: 1168901Cited : 1Read More
- 4)- Aliasghar Mortazi, Vedat Cicek, Elif Keles, Ulas Bagci. Selecting the best optimizers for deep learning-based medical image segmentation. Frontiers in radiology. 2023, 3: 1175473Cited : 4Read More
- 5)- Giovanni C Santoro, Siddhant Kulkarni, Diljot Dhillon, Kenny Lien. Case report: Basivertebral nerve block during vertebral augmentation: an alternative approach to intraprocedural pain management. Frontiers in radiology. 2023, 3: 1179023Cited : 0Read More
- 6)- InChan Hwang, Hari Trivedi, Beatrice Brown-Mulry, Linglin Zhang, Vineela Nalla, Aimilia Gastounioti, Judy Gichoya, Laleh Seyyed-Kalantari, Imon Banerjee, MinJae Woo. Impact of multi-source data augmentation on performance of convolutional neural networks for abnormality classification in mammography. Frontiers in radiology. 2023, 3: 1181190Cited : 1Read More
- 7)- Pedro V Staziaki, Muhammad M Qureshi, Aaron Maybury, Neha R Gangasani, Christina A LeBedis, Gustavo A Mercier, Stephan W Anderson. Hematocrit and lactate trends help predict outcomes in trauma independent of CT and other clinical parameters. Frontiers in radiology. 2023, 3: 1186277Cited : 1Read More
- 8)- Patrick Tivnan, Artem Kaliaev, Stephan W Anderson, Christina A LeBedis, Baojun Li, V Carlota Andreu-Arasa. Utilization of a two-material decomposition from a single-source, dual-energy CT in acute traumatic vertebral fractures. Frontiers in radiology. 2023, 3: 1187449Cited : 0Read More
- 9)- Lingdong Chen, Zhuo Yu, Jian Huang, Liqi Shu, Pekka Kuosmanen, Chen Shen, Xiaohui Ma, Jing Li, Chensheng Sun, Zheming Li, Ting Shu, Gang Yu. Development of lung segmentation method in x-ray images of children based on TransResUNet. Frontiers in radiology. 2023, 3: 1190745Cited : 5Read More
- 10)- Francesca Lo Iacono, Riccardo Maragna, Gianluca Pontone, Valentina D A Corino. A robust radiomic-based machine learning approach to detect cardiac amyloidosis using cardiac computed tomography. Frontiers in radiology. 2023, 3: 1193046Cited : 5Read More
- 11)- Yannick Suter, Michelle Notter, Raphael Meier, Tina Loosli, Philippe Schucht, Roland Wiest, Mauricio Reyes, Urspeter Knecht. Evaluating automated longitudinal tumor measurements for glioblastoma response assessment. Frontiers in radiology. 2023, 3: 1211859Cited : 0Read More
- 12)- Yan Yang, Huanhuan Wei, Fangfang Fu, Wei Wei, Yaping Wu, Yan Bai, Qing Li, Meiyun Wang. Preoperative prediction of lymphovascular invasion of colorectal cancer by radiomics based on 18F-FDG PET-CT and clinical factors. Frontiers in radiology. 2023, 3: 1212382Cited : 5Read More
- 13)- Yuta Yamamoto, Yuki Tanabe, Akira Kurata, Shuhei Yamamoto, Tomoyuki Kido, Teruyoshi Uetani, Shuntaro Ikeda, Shota Nakano, Osamu Yamaguchi, Teruhito Kido. Feasibility of four-dimensional similarity filter for radiation dose reduction in dynamic myocardial computed tomography perfusion imaging. Frontiers in radiology. 2023, 3: 1214521Cited : 0Read More
- 14)- Harrison C Gottlich, Panagiotis Korfiatis, Adriana V Gregory, Timothy L Kline. AI in the Loop: functionalizing fold performance disagreement to monitor automated medical image segmentation workflows. Frontiers in radiology. 2023, 3: 1223294Cited : 1Read More
- 15)- Haoran Sun, Lixia Wang, Timothy Daskivich, Shihan Qiu, Fei Han, Alessandro D'Agnolo, Rola Saouaf, Anthony G Christodoulou, Hyung Kim, Debiao Li, Yibin Xie. Retrospective T2 quantification from conventional weighted MRI of the prostate based on deep learning. Frontiers in radiology. 2023, 3: 1223377Cited : 1Read More
- 16)- Wenhui Zhang, Surajit Ray. From coarse to fine: a deep 3D probability volume contours framework for tumour segmentation and dose painting in PET images. Frontiers in radiology. 2023, 3: 1225215Cited : 0Read More
- 17)- Sajjad Muhammad, Ahmad Hafez, Hanna Kaukovalta, Behnam Rezai Jahromi, Riku Kivisaari, Daniel Hänggi, Mika Niemelä. Anterior inferior cerebellar artery (AICA) aneurysms: a radiological study of 15 consecutive patients. Frontiers in radiology. 2023, 3: 1229921Cited : 1Read More
- 18)- Zihao Tang, Sheng Chen, Arkiev D'Souza, Dongnan Liu, Fernando Calamante, Michael Barnett, Weidong Cai, Chenyu Wang, Mariano Cabezas. High angular diffusion tensor imaging estimation from minimal evenly distributed diffusion gradient directions. Frontiers in radiology. 2023, 3: 1238566Cited : 0Read More
- 19)- Bino A Varghese, Brandon K K Fields, Darryl H Hwang, Vinay A Duddalwar, George R Matcuk, Steven Y Cen. Spatial assessments in texture analysis: what the radiologist needs to know. Frontiers in radiology. 2023, 3: 1240544Cited : 2Read More
- 20)- Joseph M Rich, Lokesh N Bhardwaj, Aman Shah, Krish Gangal, Mohitha S Rapaka, Assad A Oberai, Brandon K K Fields, George R Matcuk, Vinay A Duddalwar. Deep learning image segmentation approaches for malignant bone lesions: a systematic review and meta-analysis. Frontiers in radiology. 2023, 3: 1241651Cited : 1Read More
- 21)- Patrick Debs, Laura M Fayad. The promise and limitations of artificial intelligence in musculoskeletal imaging. Frontiers in radiology. 2023, 3: 1242902Cited : 4Read More
- 22)- Richa Vaish, Abhishek Mahajan, Nilesh Sable, Rohit Dusane, Anuja Deshmukh, Munita Bal, Anil K D'cruz. Role of computed tomography in the evaluation of regional metastasis in well-differentiated thyroid cancer. Frontiers in radiology. 2023, 3: 1243000Cited : 3Read More
- 23)- Matthew Benger, David A Wood, Sina Kafiabadi, Aisha Al Busaidi, Emily Guilhem, Jeremy Lynch, Matthew Townend, Antanas Montvila, Juveria Siddiqui, Naveen Gadapa, Gareth Barker, Sebastian Ourselin, James H Cole, Thomas C Booth. Factors affecting the labelling accuracy of brain MRI studies relevant for deep learning abnormality detection. Frontiers in radiology. 2023, 3: 1251825Cited : 1Read More
- 24)- Boxiao Chen, Yili Fan, Luyao Wang, Jiawei Zhang, Dijia Xin, Xi Qiu, Huawei Jiang, Baizhou Li, Qin Chen, Chao Wang, Xibin Xiao, Liansheng Huang, Yang Xu. Case Report: Radiation necrosis mimicking tumor progression in a patient with extranodal natural killer/T-cell lymphoma. Frontiers in radiology. 2023, 3: 1257565Cited : 0Read More
- 25)- Hamidreza Shaterian Mohammadi, Dina Moazamian, Jiyo S Athertya, Soo Hyun Shin, James Lo, Arya Suprana, Bhavsimran S Malhi, Yajun Ma. Quantitative myelin water imaging using short TR adiabatic inversion recovery prepared echo-planar imaging (STAIR-EPI) sequence. Frontiers in radiology. 2023, 3: 1263491Cited : 0Read More
- 26)- Francesco Sanvito, Timothy J Kaufmann, Timothy F Cloughesy, Patrick Y Wen, Benjamin M Ellingson. Standardized brain tumor imaging protocols for clinical trials: current recommendations and tips for integration. Frontiers in radiology. 2023, 3: 1267615Cited : 3Read More
- 27)- Dimitri Martel, Anmol Monga, Gregory Chang. Radiomic analysis of the proximal femur in osteoporosis women using 3T MRI. Frontiers in radiology. 2023, 3: 1293865Cited : 2Read More
- 28)- . Retraction: CT-based risk factors for mortality of patients with COVID-19 pneumonia in Wuhan, China: a retrospective study. Frontiers in radiology. 2023, 3: 1330251Cited : 0Read More
