Katan M, Luft A: Global burden of stroke. In: Seminars in neurology: 2018: Thieme Medical Publishers; 2018: 208–211.

Jauch EC, Saver JL, Adams Jr HP, Bruno A, Connors J, Demaerschalk BM, Khatri P, McMullan Jr PW, Qureshi AI, Rosenfield K: Guidelines for the early management of patients with acute ischemic stroke: a guideline for healthcare professionals from the American Heart Association/American Stroke Association. Stroke 2013, 44(3):870-947.

Article  PubMed  Google Scholar 

Broderick JP, Schroth G: What the SWIFT and TREVO II trials tell us about the role of endovascular therapy for acute stroke. Stroke 2013, 44(6):1761-1764.

Article  PubMed  PubMed Central  Google Scholar 

Goyal M, Menon BK, Coutts SB, Hill MD, Demchuk AM: Effect of baseline CT scan appearance and time to recanalization on clinical outcomes in endovascular thrombectomy of acute ischemic strokes. Stroke 2011, 42(1):93-97.

Article  PubMed  Google Scholar 

Espinosa de Rueda M, Parrilla G, Manzano-Fernández S, García-Villalba B, Zamarro J, Hernández-Fernández F, Sánchez-Vizcaino C, Carreón E, Morales A, Moreno A: Combined multimodal computed tomography score correlates with futile recanalization after thrombectomy in patients with acute stroke. Stroke 2015, 46(9):2517-2522.

Article  PubMed  Google Scholar 

Li W, Xing X, Wen C, Liu H: Risk factors and functional outcome were associated with hemorrhagic transformation after mechanical thrombectomy for acute large vessel occlusion stroke. Journal of Neurosurgical Sciences 2020.

Jickling GC, Liu D, Stamova B, Ander BP, Zhan X, Lu A, Sharp FR: Hemorrhagic transformation after ischemic stroke in animals and humans. Journal of Cerebral Blood Flow & Metabolism 2014, 34(2):185-199.

Article  CAS  Google Scholar 

Elsaid N, Mustafa W, Saied A: Radiological predictors of hemorrhagic transformation after acute ischemic stroke: an evidence-based analysis. The Neuroradiology Journal 2020, 33(2):118-133.

Article  PubMed  PubMed Central  Google Scholar 

Maïer B, Desilles JP, Mazighi M: Intracranial hemorrhage after reperfusion therapies in acute ischemic stroke patients. Frontiers in Neurology 2020, 11:599908.

Article  PubMed  PubMed Central  Google Scholar 

Bernardo-Castro S, Sousa JA, Brás A, Cecília C, Rodrigues B, Almendra L, Machado C, Santo G, Silva F, Ferreira L: Pathophysiology of blood–brain barrier permeability throughout the different stages of ischemic stroke and its implication on hemorrhagic transformation and recovery. Frontiers in neurology 2020, 11:594672.

Article  PubMed  PubMed Central  Google Scholar 

An SJ, Kim TJ, Yoon B-W: Epidemiology, risk factors, and clinical features of intracerebral hemorrhage: an update. Journal of stroke 2017, 19(1):3.

Article  PubMed  PubMed Central  Google Scholar 

Goyal M, Menon BK, Van Zwam WH, Dippel DW, Mitchell PJ, Demchuk AM, Dávalos A, Majoie CB, van Der Lugt A, De Miquel MA: Endovascular thrombectomy after large-vessel ischaemic stroke: a meta-analysis of individual patient data from five randomised trials. The Lancet 2016, 387(10029):1723-1731.

Article  Google Scholar 

Van Kranendonk KR, Treurniet KM, Boers AM, Berkhemer OA, Van Den Berg LA, Chalos V, Lingsma HF, van Zwam WH, van der Lugt A, van Oostenbrugge RJ: Hemorrhagic transformation is associated with poor functional outcome in patients with acute ischemic stroke due to a large vessel occlusion. Journal of neurointerventional surgery 2019, 11(5):464-468.

Article  PubMed  Google Scholar 

Frade HC, Wilson SE, Beckwith A, Powers WJ: Comparison of outcomes of ischemic stroke initially imaged with cranial computed tomography alone vs computed tomography plus magnetic resonance imaging. JAMA Network Open 2022, 5(7):e2219416-e2219416.

Article  Google Scholar 

Kranz P, Eastwood J: Does diffusion-weighted imaging represent the ischemic core? An evidence-based systematic review. American Journal of Neuroradiology 2009, 30(6):1206-1212.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Vilela P, Rowley HA: Brain ischemia: CT and MRI techniques in acute ischemic stroke. European journal of radiology 2017, 96:162-172.

Article  PubMed  Google Scholar 

Khatri R, McKinney AM, Swenson B, Janardhan V: Blood–brain barrier, reperfusion injury, and hemorrhagic transformation in acute ischemic stroke. Neurology 2012, 79(13_supplement_1):S52-S57

Kalinin MN, Khasanova DR, Ibatullin MM: The hemorrhagic transformation index score: a prediction tool in middle cerebral artery ischemic stroke. BMC neurology 2017, 17:1-16.

Article  Google Scholar 

Dzialowski I, Klotz E, Goericke S, Doerfler A, Forsting M, von Kummer Rd: Ischemic brain tissue water content: CT monitoring during middle cerebral artery occlusion and reperfusion in rats. Radiology 2007, 243(3):720-726.

Article  PubMed  Google Scholar 

Broocks G, Flottmann F, Hanning U, Schön G, Sporns P, Minnerup J, Fiehler J, Kemmling A: Impact of endovascular recanalization on quantitative lesion water uptake in ischemic anterior circulation strokes. Journal of Cerebral Blood Flow & Metabolism 2020, 40(2):437-445.

Article  CAS  Google Scholar 

Albers GW, Marks MP, Kemp S, Christensen S, Tsai JP, Ortega-Gutierrez S, McTaggart RA, Torbey MT, Kim-Tenser M, Leslie-Mazwi T: Thrombectomy for stroke at 6 to 16 hours with selection by perfusion imaging. New England Journal of Medicine 2018, 378(8):708-718.

Article  PubMed  Google Scholar 

Nogueira RG, Jadhav AP, Haussen DC, Bonafe A, Budzik RF, Bhuva P, Yavagal DR, Ribo M, Cognard C, Hanel RA: Thrombectomy 6 to 24 hours after stroke with a mismatch between deficit and infarct. New England Journal of Medicine 2018, 378(1):11-21.

Article  PubMed  Google Scholar 

Heo J, Sim Y, Kim BM, Kim DJ, Kim YD, Nam HS, Choi YS, Lee S-K, Kim EY, Sohn B: Radiomics using non-contrast CT to predict hemorrhagic transformation risk in stroke patients undergoing revascularization. European Radiology 2024:1–11.

Zhang Y, Xie G, Zhang L, Li J, Tang W, Wang D, Yang L, Li K: Constructing machine learning models based on non-contrast CT radiomics to predict hemorrhagic transformation after stoke: a two-center study. Frontiers in Neurology 2024, 15:1413795.

Article  PubMed  PubMed Central  Google Scholar 

Hadjiiski L, Cha K, Chan HP, Drukker K, Morra L, Näppi JJ, Sahiner B, Yoshida H, Chen Q, Deserno TM: AAPM task group report 273: recommendations on best practices for AI and machine learning for computer‐aided diagnosis in medical imaging. Medical Physics 2023, 50(2):e1-e24.

Article  PubMed  Google Scholar 

Lo C-M, Hung P-H: Computer-aided diagnosis of ischemic stroke using multi-dimensional image features in carotid color Doppler. Computers in Biology and Medicine 2022, 147:105779.

Article  PubMed  Google Scholar 

LeCun Y, Bengio Y, Hinton G: Deep learning. nature 2015, 521(7553):436-444.

CAS  PubMed  Google Scholar 

Masuda Y, Ishikawa R, Tanaka T, Aoyama G, Kawashima K, Chapman JV, Asami M, Pham MHC, Kofoed KF, Sakaguchi T: CNN-based fully automatic mitral valve extraction using CT images and existence probability maps. Physics in Medicine & Biology 2024, 69(3):035001.

Article  Google Scholar 

Lo C-M, Hung P-H: Assessing ischemic stroke with convolutional image features in carotid color Doppler. Ultrasound in Medicine & Biology 2021, 47(8):2266-2276.

Article  Google Scholar 

Lo C-M, Hung P-H, Lin D-T: Rapid assessment of acute ischemic stroke by computed tomography using deep convolutional neural networks. Journal of Digital Imaging 2021, 34(3):637-646.

Article  PubMed  PubMed Central  Google Scholar 

Dosovitskiy A, Beyer L, Kolesnikov A, Weissenborn D, Zhai X, Unterthiner T, Dehghani M, Minderer M, Heigold G, Gelly S: An image is worth 16x16 words: Transformers for image recognition at scale. arXiv preprint arXiv:201011929 2020.

Iandola F, Moskewicz M, Karayev S, Girshick R, Darrell T, Keutzer K: Densenet: Implementing efficient convnet descriptor pyramids. arXiv preprint arXiv:14041869 2014.

Yu W, Zhou P, Yan S, Wang X: Inceptionnext: When inception meets convnext. arXiv preprint arXiv:230316900 2023.

Gu J, Wang Z, Kuen J, Ma L, Shahroudy A, Shuai B, Liu T, Wang X, Wang G, Cai J: Recent advances in convolutional neural networks. Pattern recognition 2018, 77:354-377.

Article  Google Scholar 

Lo C-M: Multimedia information retrieval using content-based image retrieval and context link for Chinese cultural artifacts. Library Hi Tech 2024.

Lo C-M, Wang C-C, Hung P-H: Interactive content-based image retrieval with deep learning for CT abdominal organ recognition. Physics in Medicine & Biology 2024, 69(4):045004.

Article  Google Scholar 

Lo C-M, Lai K-L: Deep Image Guiding: Guide Knee Ultrasound Scanning using Hierarchical Classification and Retrieval. IEEE Transactions on Instrumentation and Measurement 2024.

Lo C-M, Lai K-L: Septic Arthritis Modeling Using Sonographic Fusion with Attention and Selective Transformation: a Preliminary Study. Journal of Imaging Informatics in Medicine 2024:1–12.

Lo C-M, Yang Y-W, Lin J-K, Lin T-C, Chen W-S, Yang S-H, Chang S-C, Wang H-S, Lan Y-T, Lin H-H: Modeling the survival of colorectal cancer patients based on colonoscopic features in a feature ensemble vision transformer. Computerized Medical Imaging and Graphics 2023, 107:102242.

Article  PubMed  Google Scholar 

Lo C-M, Lai K-L: Deep learning-based assessment of knee septic arthritis using transformer features in sonographic modalities. Computer Methods and Programs in Biomedicine 2023, 237:107575.

Article  PubMed  Google Scholar 

Ghosh A, Mukherjee J, Chakravorty N: A low-cost test for anemia using an artificial neural network. Computer Methods and Programs in Biomedicine 2023, 229:107251.

Article  PubMed  Google Scholar 

Ding X, Liu Y, Zhao J, Wang R, Li C, Luo Q, Shen C: A novel wavelet-transform-based convolution classification network for cervical lymph node metastasis of papillary thyroid carcinoma in ultrasound images. Computerized Medical Imaging and Graphics 2023, 109:102298.

Article