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Exact Sample Conditioned MSE Performance of the Bayesian MMSE Estimator for Classification Error—Part I: Representation
DALTON, Lori A ; DOUGHERTY, Edward R
IEEE transactions on signal processing. 60(5):2575-2587

I-Vector-Based Patient Adaptation of Deep Neural Networks for Automatic Heartbeat Classification.
Xu SS ; Mak MW ; Cheung CC
Publisher: Institute of Electrical and Electronics Engineers Country of Publication: United States NLM ID: 101604520 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2168-2208 (Electronic) Linking ISSN: 21682194 NLM ISO Abbreviation: IEEE J Biomed Health Inform Subsets: MEDLINE

Toward a tight upper bound for the error probability of the binary Gaussian classification problem
EL AYADI, Moataz M. H ; KAMEL, Mohamed S ; KARRAY, Fakhri
Pattern recognition. 41(6):2120-2132

Automatic classification of esophageal lesions in endoscopic images using a convolutional neural network.
Liu G ; Hua J ; Wu Z ; et al.
Publisher: AME Publishing Company Country of Publication: China NLM ID: 101617978 Publication Model: Print Cited Medium: Print ISSN: 2305-5839 (Print) Linking ISSN: 23055839 NLM ISO Abbreviation: Ann Transl Med Subsets: PubMed not MEDLINE

Automatic classification of MR scans in Alzheimer's disease
KLÖPPEL, Stefan ; STONNINGTON, Cynthia M ; CHU, Carlton ; et al.
Brain. 131:681-689

Probabilistic characterisation of model error using Gaussian mixture model—With application to Charpy impact energy prediction for alloy steel
YONG YAO YANG ; MAHFOUF, Mahdi ; PANOUTSOS, George
Control engineering practice. 20(1):82-92

A unique feature extraction using MRDWT for automatic classification of abnormal heartbeat from ECG big data with Multilayered Probabilistic Neural Network classifier
Rai, Hari Mohan ; Chatterjee, Kalyan
In Applied Soft Computing Journal November 2018 72:596-608

Designing Data Governance for the Future: Privacy, Stewardship, and Intelligent Control.
Katakam, Rankin
Journal of Computational Analysis & Applications. 2025, Vol. 34 Issue 12, p590-601. 12p.

A multiobjective based automatic framework for classifying cancer-microRNA biomarkers
Saha, Sriparna ; Mitra, Sayantan ; Yadav, Ravi Kant
In Gene Reports September 2016 4:91-103

Water photovoltaic plant contaminant identification using visible light images
Zhou, Ying-Jie ; Sun, Hai-Rong
In Sustainable Energy Technologies and Assessments October 2022 53 Part A

Automatic Detection and Classification of Malarial Retinopathy- Associated Retinal Whitening in Digital Retinal Images
Muhammad Usman Akram ; Abu Bakar Nisar Alvi ; Shoab A. Khan ; et al.
Mehran University Research Journal of Engineering and Technology, Vol 36, Iss 4, Pp 941-956 (2017)

Intraocular Pressure Reduction Efficacy of Rhopressa and Lumigan in Normal Tension Glaucoma (NTG)
Intraocular Pressure Reduction Efficacy of Rhopressa and Lumigan in Normal Tension Glaucoma

Convolution neural network algorithm-based fouling organisms classification model of seawater circulation cooling system
ZHANG Yi
Gongye shui chuli, Vol 44, Iss 12, Pp 160-165 (2024)

Smart Wearable Device (gaitQ): Walk Better Project
GaitQ company
Smart Wearable Device (gaitQ) That Helps People With Long-term Conditions Affecting Movement: Walk Better

Effects of DMI vs Bobath on Neuromuscular Development in CP (DMINDTSCP)
Prof. Dr. Shoaib Waqas, Professor
Comparative Effects of Dynamic Movement Intervention and Bobath Approach on Neuromuscular Development in Spastic Cerebral Palsy

Continued existence of significant disparities in the technical practices of sperm morphology assessment and the clinical implications: results of a French questionnaire
Gatimel, Nicolas ; Mansoux, Lucile ; Moreau, Jessika ; et al.
In Fertility and Sterility February 2017 107(2):365-372

Automatic classification of thyroid histopathology images using multi-classifier system
J, Angel Arul Jothi ; V, Mary Anita Rajam
Multimedia Tools and Applications: An International Journal. September 2017 76(18):18711-18730

AI-Assisted MRE for Intestinal Fibrosis in Crohn's Disease
Sixth Affiliated Hospital, Sun Yat-sen University ; Sir Run Run Shaw Hospital ; Jinling Hospital, China ; et al.
A Prospective, Multi-center Study to Characterize Intestinal Fibrosis in Patients With Crohn's Disease (CD) Using MR Enterography (MRE)-Based Artificial Intelligence
Li XH, Feng ST, Cao QH, Coffey JC, Baker ME, Huang L, Fang ZN, Qiu Y, Lu BL, Chen ZH, Li Y, Bettenworth D, Iacucci M, Sun CH, Ghosh S, Rieder F, Chen MH, Li ZP, Mao R. Degree of Creeping Fat Assessed by Computed Tomography Enterography is Associated with Intestinal Fibrotic Stricture in Patients with Crohn's Disease: A Potentially Novel Mesenteric Creeping Fat Index. J Crohns Colitis. 2021 Jul 5;15(7):1161-1173. doi: 10.1093/ecco-jcc/jjab005.
Li X, Zhang N, Hu C, Lin Y, Li J, Li Z, Cui E, Shi L, Zhuang X, Li J, Lu J, Wang Y, Liu R, Yuan C, Lin H, He J, Ke D, Tang S, Zou Y, He B, Sun C, Chen M, Huang B, Mao R, Feng ST. CT-based radiomics signature of visceral adipose tissue for prediction of disease progression in patients with Crohn's disease: A multicentre cohort study. EClinicalMedicine. 2022 Dec 30;56:101805. doi: 10.1016/j.eclinm.2022.101805. eCollection 2023 Feb.
Li Z, Chen Z, Zhang R, et, al. Eur J Nucl Med Mol Imaging. 2024 Feb 15.
Du JF, Lu BL, Huang SY, Mao R, Zhang ZW, Cao QH, Chen ZH, Li SY, Qin QL, Sun CH, Feng ST, Li ZP, Huang L, Li XH. A novel identification system combining diffusion kurtosis imaging with conventional magnetic resonance imaging to assess intestinal strictures in patients with Crohn's disease. Abdom Radiol (NY). 2021 Mar;46(3):936-947. doi: 10.1007/s00261-020-02765-3. Epub 2020 Sep 22.
Zhang MC, Li XH, Huang SY, Mao R, Fang ZN, Cao QH, Zhang ZW, Yan X, Chen MH, Li ZP, Sun CH, Feng ST. IVIM with fractional perfusion as a novel biomarker for detecting and grading intestinal fibrosis in Crohn's disease. Eur Radiol. 2019 Jun;29(6):3069-3078. doi: 10.1007/s00330-018-5848-6. Epub 2018 Dec 13.
Huang SY, Li XH, Huang L, Sun CH, Fang ZN, Zhang MC, Lin JJ, Jiang MJ, Mao R, Li ZP, Zhang Z, Feng ST. T2* Mapping to characterize intestinal fibrosis in crohn's disease. J Magn Reson Imaging. 2018 Apr 17. doi: 10.1002/jmri.26022. Online ahead of print.
Li Z, Lu B, Lin J, He S, Huang L, Wang Y, Meng J, Li Z, Feng ST, Lin S, Mao R, Li XH. A Type I Collagen-Targeted MR Imaging Probe for Staging Fibrosis in Crohn's Disease. Front Mol Biosci. 2021 Nov 11;8:762355. doi: 10.3389/fmolb.2021.762355. eCollection 2021.
Li XH, Mao R, Huang SY, Fang ZN, Lu BL, Lin JJ, Xiong SS, Chen MH, Li ZP, Sun CH, Feng ST. Ability of DWI to characterize bowel fibrosis depends on the degree of bowel inflammation. Eur Radiol. 2019 May;29(5):2465-2473. doi: 10.1007/s00330-018-5860-x. Epub 2019 Jan 11.
Chen YJ, Mao R, Li XH, Cao QH, Chen ZH, Liu BX, Chen SL, Chen BL, He Y, Zeng ZR, Ben-Horin S, Rimola J, Rieder F, Xie XY, Chen MH. Real-Time Shear Wave Ultrasound Elastography Differentiates Fibrotic from Inflammatory Strictures in Patients with Crohn's Disease. Inflamm Bowel Dis. 2018 Sep 15;24(10):2183-2190. doi: 10.1093/ibd/izy115.
Li XH, Mao R, Huang SY, Sun CH, Cao QH, Fang ZN, Zhang ZW, Huang L, Lin JJ, Chen YJ, Rimola J, Rieder F, Chen MH, Feng ST, Li ZP. Characterization of Degree of Intestinal Fibrosis in Patients with Crohn Disease by Using Magnetization Transfer MR Imaging. Radiology. 2018 May;287(2):494-503. doi: 10.1148/radiol.2017171221. Epub 2018 Jan 19.
Meng J, Luo Z, Chen Z, Zhou J, Chen Z, Lu B, Zhang M, Wang Y, Yuan C, Shen X, Huang Q, Zhang Z, Ye Z, Cao Q, Zhou Z, Xu Y, Mao R, Chen M, Sun C, Li Z, Feng ST, Meng X, Huang B, Li X. Intestinal fibrosis classification in patients with Crohn's disease using CT enterography-based deep learning: comparisons with radiomics and radiologists. Eur Radiol. 2022 Dec;32(12):8692-8705. doi: 10.1007/s00330-022-08842-z. Epub 2022 May 26.
Li X, Liang D, Meng J, Zhou J, Chen Z, Huang S, Lu B, Qiu Y, Baker ME, Ye Z, Cao Q, Wang M, Yuan C, Chen Z, Feng S, Zhang Y, Iacucci M, Ghosh S, Rieder F, Sun C, Chen M, Li Z, Mao R, Huang B, Feng ST. Development and Validation of a Novel Computed-Tomography Enterography Radiomic Approach for Characterization of Intestinal Fibrosis in Crohn's Disease. Gastroenterology. 2021 Jun;160(7):2303-2316.e11. doi: 10.1053/j.gastro.2021.02.027. Epub 2021 Feb 17.

Automatic Segmentation Ultrasound-based Radiomics Technology in Diabetic Kidney Disease
Noninvasive Detection of Diabetic Kidney Disease Based on Automatic Segmentation Ultrasound-based Radiomics Technology

Advanced Convolutional Neural Network Classification for Automatic Seizure Epilepsy Detection in EEG Signal
Mancha, Venkata Ramana ; Reddy E, Srinivasa ; Ch, Satyanarayana
IOP Conference Series: Materials Science and Engineering ; volume 1074, issue 1, page 012005 ; ISSN 1757-8981 1757-899X