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Publication search results
found 132 matches
- 2022
- Yang Lei, Tonghe Wang, Justin Roper, Sibo Tian, Pretesh Patel, Jeffrey D. Bradley, Ashesh B. Jani, Tian Liu, Xiaofeng Yang:
Neurovascular bundles segmentation on MRI via hierarchical object activation network. Medical Imaging: Computer-Aided Diagnosis 2022 - Can Cui, Zuhayr Asad, William F. Dean, Isabelle T. Smith, Christopher Madden, Shunxing Bao, Bennett A. Landman, Joseph T. Roland, Lori A. Coburn, Keith T. Wilson, Jeffrey P. Zwerner, Shilin Zhao, Lee E. Wheless, Yuankai Huo:
Multi-modal learning with missing data for cancer diagnosis using histopathological and genomic data. Medical Imaging: Computer-Aided Diagnosis 2022 - Can Cui, Samuel R. Johnson, Cullen P. Moran, Katherine S. Hajdu, Joanna Shechtel, John J. Block, Brian Bingham, David Smith, Leo Y. Luo, Hakmook Kang, Jennifer L. Halpern, Herbert S. Schwartz, Ginger E. Holt, Joshua M. Lawrenz, Benoit M. Dawant:
Multi-modality classification between myxofibrosarcoma and myxoma using radiomics and machine learning models. Medical Imaging: Computer-Aided Diagnosis 2022 - Jun Luo, Dooman Arefan, Margarita L. Zuley, Jules H. Sumkin, Shandong Wu:
Deep curriculum learning in task space for multi-class based mammography diagnosis. Medical Imaging: Computer-Aided Diagnosis 2022 - Erikson Júlio De Aguiar, Karem D. Marcomini, Felipe A. Quirino, Marco A. Gutierrez, Caetano Traina Jr., Agma J. M. Traina:
Evaluation of the impact of physical adversarial attacks on deep learning models for classifying covid cases. Medical Imaging: Computer-Aided Diagnosis 2022 - Idil Aytekin, Onat Dalmaz, Haydar Ankishan, Emine Ulku Saritas, Ulas Bagci, Tolga Çukur, Haydar Celik:
Detecting COVID-19 from respiratory sound recordings with transformers. Medical Imaging: Computer-Aided Diagnosis 2022 - Natalie M. Baughan, Lindsay Douglas, Maya Ballard, Esther Seoyeon Lee, Alexandra Edwards, Li Lan, Hui Li, Maryellen L. Giger:
Association between DCE MRI background parenchymal enhancement and mammographic texture features. Medical Imaging: Computer-Aided Diagnosis 2022 - Marcel Bengs, Finn Behrendt, Max-Heinrich Laves, Julia Krüger, Roland Opfer, Alexander Schlaefer:
Unsupervised anomaly detection in 3D brain MRI using deep learning with multi-task brain age prediction. Medical Imaging: Computer-Aided Diagnosis 2022 - David Bermejo-Peláez, Raúl San José Estépar, M. Fernández-Velilla, Carmelo Palacios Miras, Guillermo Gallardo Madueño, M. Benegas, Miguel A. Luengo-Oroz, J. Sellarés, M. Sánchez, Gorka Bastarrika, German R. Peces-Barba, Luis Miguel Seijo Maceiras, María J. Ledesma-Carbayo:
Deep-learning characterization and quantification of COVID-19 pneumonia lesions from chest CT images. Medical Imaging: Computer-Aided Diagnosis 2022 - Indrani Bhattacharya, Wei Shao, Simon J. C. Soerensen, Richard E. Fan, Jeffrey B. Wang, Christian Kunder, Pejman Ghanouni, Geoffrey A. Sonn, Mirabela Rusu:
Integrating zonal priors and pathomic MRI biomarkers for improved aggressive prostate cancer detection on MRI. Medical Imaging: Computer-Aided Diagnosis 2022 - Debayan Bhattacharya, Christian Betz, Dennis Eggert, Alexander Schlaefer:
Self-supervised U-Net for segmenting flat and sessile polyps. Medical Imaging: Computer-Aided Diagnosis 2022 - Anna Breger, Felix Goldbach, Bianca S. Gerendas, Ursula Schmidt-Erfurth, Martin Ehler:
Blood vessel segmentation in en-face OCTA images: a frequency based method. Medical Imaging: Computer-Aided Diagnosis 2022 - Jonathan Burkow, Gregory Holste, Jeffrey Otjen, Francisco Perez, Joseph Junewick, Adam M. Alessio:
Avalanche decision schemes to improve pediatric rib fracture detection. Medical Imaging: Computer-Aided Diagnosis 2022 - Marco Caballo, Wendelien B. G. Sanderink, Luyi Han, Yuan Gao, Alexandra Athanasiou, Ritse M. Mann:
4D radiomics in dynamic contrast-enhanced MRI: prediction of pathological complete response and systemic recurrence in triple-negative breast cancer. Medical Imaging: Computer-Aided Diagnosis 2022 - Weiguo Cao, Marc Jason Pomeroy, Yongfeng Gao, Perry J. Pickhardt, Almas F. Abbasi, Jela Bandovic, Zhengrong Liang:
A vector representation of local image contrast patterns for lesion classification. Medical Imaging: Computer-Aided Diagnosis 2022 - Shuheng Cao, Ethan Yu, Aidan Clarke, Yongfeng Gao, Lihong Li:
Multi-channel medical image segmentation method in Hessian domain. Medical Imaging: Computer-Aided Diagnosis 2022 - Lin Chai, Yaping Wang, Weiyang Shi, Yu Zhang, Bing Liu, Tianzi Jiang, Lingzhong Fan:
Linked psychopathology-specific factors and individual structural brain abnormalities in schizophrenia. Medical Imaging: Computer-Aided Diagnosis 2022 - Jayasree Chakraborty, Joshua S. Jolissaint, Tiegong Wang, Kevin C. Soares, Mithat Gonen, Linda M. Pak, Thomas Börner, Richard K. G. Do, Vinod P. Balachandran, Michael I. D'Angelica, Jeffrey A. Drebin, T. Peter Kingham, Alice C. Wei, William R. Jarnagin:
CT radiomics to predict early hepatic recurrence after resection for intrahepatic cholangiocarcinoma. Medical Imaging: Computer-Aided Diagnosis 2022 - Shaojie Chang, Yongfeng Gao, Marc Jason Pomeroy, Siming Lu, Zhengrong Liang:
A feasibility study of computer-aided diagnosis with DECT Bayesian reconstruction for polyp classification. Medical Imaging: Computer-Aided Diagnosis 2022 - Xiangjun Chen, Zhaohui Wang, Yuefu Zhan, Faouzi Alaya Cheikh, Mohib Ullah:
Fusion of clinical phenotypic and multi-modal MRI for acute bilirubin encephalopathy classification. Medical Imaging: Computer-Aided Diagnosis 2022 - Xiangjun Chen, Zhaohui Wang, Yuefu Zhan, Faouzi Alaya Cheikh, Mohib Ullah:
Interpretable learning approaches in structural MRI: 3D-ResNet fused attention for autism spectrum disorder classification. Medical Imaging: Computer-Aided Diagnosis 2022 - Gyeong Woo Cheon, So Hyun Nam, Jaepyeong Cha:
Unsupervised optical small bowel ischemia detection in a preclinical model using convolutional variational autoencoders. Medical Imaging: Computer-Aided Diagnosis 2022 - Tricia Chinnery, Pencilla Lang, Anthony Nichols, Sarah A. Mattonen:
A CT-based radiomics model for predicting feeding tube insertion in oropharyngeal cancer. Medical Imaging: Computer-Aided Diagnosis 2022 - Priscilla Cho, Sajal Dash, Aristeidis Tsaris, Hong-Jun Yoon:
Image transformers for classifying acute lymphoblastic leukemia. Medical Imaging: Computer-Aided Diagnosis 2022 - Youngwon Choi, Marlena Garcia, Steven S. Raman, Dieter R. Enzmann, Matthew S. Brown:
AI-human interactive pipeline with feedback to accelerate medical image annotation. Medical Imaging: Computer-Aided Diagnosis 2022 - Jun Keun Choi, Ehwa Yang, Chin A. Yi, Minsu Park, Jung Won Moon, Jae-Hun Kim:
Can deep learning model undergo the same process as a human radiologist when determining malignancy of pulmonary nodules? Medical Imaging: Computer-Aided Diagnosis 2022 - David DeVries, Frank Lagerwaard, Jaap Zindler, Timothy P. C. Yeung, George Rodrigues, George Hajdok, Aaron D. Ward:
Effects of feature type and multiple scanners on brain metastasis stereotactic radiosurgery outcome prediction. Medical Imaging: Computer-Aided Diagnosis 2022 - Shannon Doyle, Francesco Dal Canton, Jelle Wesseling, Clara I. Sánchez, Jonas Teuwen:
Mammary duct detection using self-supervised encoders. Medical Imaging: Computer-Aided Diagnosis 2022 - Daniel C. Elton, Andy Chen, Perry J. Pickhardt, Ronald M. Summers:
Cardiovascular disease and all-cause mortality risk prediction from abdominal CT using deep learning. Medical Imaging: Computer-Aided Diagnosis 2022 - Walia Farzana, Zeina A. Shboul, Ahmed G. Temtam, Khan M. Iftekharuddin:
Uncertainty estimation in classification of MGMT using radiogenomics for glioblastoma patients. Medical Imaging: Computer-Aided Diagnosis 2022
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