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Evaluation of machine learning algorithms and structural features for optimal MRI-based diagnostic prediction in psychosis

by Salvador, Raymond, Radua, Joaquim, Canales-Rodríguez, Erick J., Solanes, Aleix, Sarró, Salvador, Goikolea, José M., Valiente, Alicia, Monté, Gemma C., Natividad, María del Carmen, Guerrero-Pedraza, Amalia, Moro, Noemí, Fernández-Corcuera, Paloma, Amann, Benedikt L., Maristany, Teresa, Vieta, Eduard, McKenna, Peter J., Pomarol-Clotet, Edith
Published in PloS one (20.04.2017)

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Deep Learning–Based Algorithm for Automatic Quantification of Nigrosome-1 and Parkinsonism Classification Using Susceptibility Map–Weighted MRI

by Suh, Pae Sun, Heo, Hwan, Suh, Chong Hyun, Lee, MyeongOh, Song, Soohwa, Shin, Donghoon, Jo, Sungyang, Chung, Sun Ju, Heo, Hwon, Shim, Woo Hyun, Kim, Ho Sung, Kim, Sang Joon, Kim, Eung Yeop
Published in American journal of neuroradiology : AJNR (01.05.2025)

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How to evaluate deep learning for cancer diagnostics – factors and recommendations

by Daneshjou, Roxana, He, Bryan, Ouyang, David, Zou, James Y
Published in Biochimica et biophysica acta. Reviews on cancer (01.04.2021)

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Design of a model-based diagnostic algorithm for diesel particulate filter fault detection and isolation

by Polverino, Pierpaolo, Elefante, Serena, Arsie, Ivan, Pianese, Cesare
Published in AIP conference proceedings (17.12.2019)

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Journal Article Conference Proceeding

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Deep learning to diagnose cardiac amyloidosis from cardiovascular magnetic resonance

by Martini, Nicola, Aimo, Alberto, Barison, Andrea, Della Latta, Daniele, Vergaro, Giuseppe, Aquaro, Giovanni Donato, Ripoli, Andrea, Emdin, Michele, Chiappino, Dante
Published in Journal of cardiovascular magnetic resonance (07.12.2020)

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A feature agnostic approach for glaucoma detection in OCT volumes

by Maetschke, Stefan, Antony, Bhavna, Ishikawa, Hiroshi, Wollstein, Gadi, Schuman, Joel, Garnavi, Rahil
Published in PloS one (01.07.2019)

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Impact of Reconstruction Algorithms on CT Radiomic Features of Pulmonary Tumors: Analysis of Intra- and Inter-Reader Variability and Inter-Reconstruction Algorithm Variability

by Kim, Hyungjin, Park, Chang Min, Lee, Myunghee, Park, Sang Joon, Song, Yong Sub, Lee, Jong Hyuk, Hwang, Eui Jin, Goo, Jin Mo
Published in PloS one (14.10.2016)

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Revealing sub‐voxel motions of brain tissue using phase‐based amplified MRI (aMRI)

by Terem, Itamar, Ni, Wendy W., Goubran, Maged, Rahimi, Mahdi Salmani, Zaharchuk, Greg, Yeom, Kristen W., Moseley, Michael E., Kurt, Mehmet, Holdsworth, Samantha J.
Published in Magnetic resonance in medicine (01.12.2018)

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Improved detection of small pulmonary embolism on unenhanced computed tomography using an artificial intelligence-based algorithm – a single centre retrospective study

by Hagen, Florian, Vorberg, Linda, Thamm, Florian, Ditt, Hendrik, Maier, Andreas, Brendel, Jan Michael, Ghibes, Patrick, Bongers, Malte Niklas, Krumm, Patrick, Nikolaou, Konstantin, Horger, Marius
Published in The international journal of cardiovascular imaging (01.11.2024)

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Stereotactic, Single-Dose Irradiation of Lung Tumors: A Comparison of Absolute Dose and Dose Distribution Between Pencil Beam and Monte Carlo Algorithms Based on Actual Patient CT Scans

by Chen, Huixiao, Lohr, Frank, Fritz, Peter, Wenz, Frederik, Dobler, Barbara, Lorenz, Friedlieb, Mühlnickel, Werner
Published in International journal of radiation oncology, biology, physics (01.11.2010)

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Diagnostic power of resting‐state fMRI for detection of network connectivity in Alzheimer's disease and mild cognitive impairment: A systematic review

by Ibrahim, Buhari, Suppiah, Subapriya, Ibrahim, Normala, Mohamad, Mazlyfarina, Hassan, Hasyma Abu, Nasser, Nisha Syed, Saripan, M Iqbal
Published in Human brain mapping (15.06.2021)

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Utilization of deep learning to quantify fluid volume of neovascular age-related macular degeneration patients based on swept-source OCT imaging: The ONTARIO study

by Sodhi, Simrat K., Pereira, Austin, Oakley, Jonathan D., Golding, John, Trimboli, Carmelina, Russakoff, Daniel B., Choudhry, Netan
Published in PloS one (14.02.2022)

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Automated quantification of coronary plaque with computed tomography: comparison with intravascular ultrasound using a dedicated registration algorithm for fusion-based quantification

by Boogers, Mark J., Broersen, Alexander, van Velzen, Joëlla E., de Graaf, Fleur R., El-Naggar, Heba M., Kitslaar, Pieter H., Dijkstra, Jouke, Delgado, Victoria, Boersma, Eric, de Roos, Albert, Schuijf, Joanne D., Schalij, Martin J., Reiber, Johan H.C., Bax, Jeroen J., Jukema, J. Wouter
Published in European heart journal (01.04.2012)

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Temporal Lobe Epilepsy Surgical Outcomes Can Be Inferred Based on Structural Connectome Hubs: A Machine Learning Study

by Gleichgerrcht, Ezequiel, Keller, Simon S., Drane, Daniel L., Munsell, Brent C., Davis, Kathryn A., Kaestner, Erik, Weber, Bernd, Krantz, Samantha, Vandergrift, William A., Edwards, Jonathan C., McDonald, Carrie R., Kuzniecky, Ruben, Bonilha, Leonardo
Published in Annals of neurology (01.11.2020)

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Joint solution for PET image segmentation, denoising, and partial volume correction

by Xu, Ziyue, Gao, Mingchen, Papadakis, Georgios Z., Luna, Brian, Jain, Sanjay, Mollura, Daniel J., Bagci, Ulas
Published in Medical image analysis (01.05.2018)

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Mindboggling morphometry of human brains

by Klein, Arno, Ghosh, Satrajit S., Bao, Forrest S., Giard, Joachim, Häme, Yrjö, Stavsky, Eliezer, Lee, Noah, Rossa, Brian, Reuter, Martin, Chaibub Neto, Elias, Keshavan, Anisha
Published in PLoS computational biology (01.02.2017)

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A-Mode Ultrasound Bladder Volume Estimation Algorithm Based on Wavelet Energy Ratio Adaptive Denoising

by Jin, Rencheng, Huang, Qipeng, Jiang, Jiaxu, Hu, Peihao
Published in Sensors (Basel, Switzerland) (20.03.2024)

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Efficiency of a deep learning-based artificial intelligence diagnostic system in spontaneous intracerebral hemorrhage volume measurement

by Wang, Tao, Song, Na, Liu, Lingling, Zhu, Zichao, Chen, Bing, Yang, Wenjun, Chen, Zhiqiang
Published in BMC medical imaging (13.08.2021)

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Effect of CT Reconstruction Algorithm on the Diagnostic Performance of Radiomics Models: A Task-Based Approach for Pulmonary Subsolid Nodules

by Kim, Hyungjin, Park, Chang Min, Gwak, Jeonghwan, Hwang, Eui Jin, Lee, Seon Young, Jung, Julip, Hong, Helen, Goo, Jin Mo
Published in American journal of roentgenology (1976) (01.03.2019)

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A Huge Innovation in Diagnosis of Obstructive Sleep Apnea Syndrome: With an Artificial Intelligence-Based Algorithm, Obstructive Sleep Apnea Syndrome Can Now Be Diagnosed With Pulmonary Function Test

by Bulut Eris, Seval, Recep Bozkurt, Mehmet, Eris, Omer, Bilgin, Cahit
Published in IEEE access (2025)

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