| Year |
Citation |
Score |
| 2023 |
Hyer DE, Caster J, Smith B, St-Aubin J, Snyder J, Shepard A, Zhang H, Mullan S, Geoghegan T, George B, Byrne J, Smith M, Buatti JM, Sonka M. A Technique to Enable Efficient Adaptive Radiation Therapy: Automated Contouring of Prostate and Adjacent Organs. Advances in Radiation Oncology. 9: 101336. PMID 38260219 DOI: 10.1016/j.adro.2023.101336 |
0.41 |
|
| 2023 |
Bathla G, Dhruba DD, Liu Y, Le NH, Soni N, Zhang H, Mohan S, Roberts-Wolfe D, Rathore S, Sonka M, Priya S, Agarwal A. Differentiation Between Glioblastoma and Metastatic Disease on Conventional MRI Imaging Using 3D-Convolutional Neural Networks: Model Development and Validation. Academic Radiology. PMID 37977889 DOI: 10.1016/j.acra.2023.10.044 |
0.49 |
|
| 2023 |
Bathla G, Dhruba DD, Soni N, Liu Y, Larson NB, Kassmeyer BA, Mohan S, Roberts-Wolfe D, Rathore S, Lee NH, Zhang H, Sonka M, Priya S. AI-based Classification of Three Common Malignant Tumors in Neuro-oncology: A Multi-Institutional Comparison of Machine Learning and Deep Learning Methods. Journal of Neuroradiology = Journal De Neuroradiologie. PMID 37652263 DOI: 10.1016/j.neurad.2023.08.007 |
0.387 |
|
| 2023 |
Zaman FA, Zhang L, Zhang H, Sonka M, Wu X. Segmentation quality assessment by automated detection of erroneous surface regions in medical images. Computers in Biology and Medicine. 164: 107324. PMID 37591161 DOI: 10.1016/j.compbiomed.2023.107324 |
0.542 |
|
| 2023 |
Ensley JE, Tachau KH, Walsh SA, Zhang H, Simon G, Moser L, Atha J, Dilley P, Hoffman EA, Sonka M. Using computed tomography to recover hidden medieval fragments beneath early modern leather bindings, first results. Heritage Science. 11: 82. PMID 37113562 DOI: 10.1186/s40494-023-00912-9 |
0.437 |
|
| 2023 |
Zhang L, Guo Z, Zhang H, van der Plas E, Koscik TR, Nopoulos PC, Sonka M. Assisted annotation in Deep LOGISMOS: Simultaneous multi-compartment 3D MRI segmentation of calf muscles. Medical Physics. PMID 36750977 DOI: 10.1002/mp.16284 |
0.517 |
|
| 2021 |
Bathla G, Liu Y, Zhang H, Sonka M, Derdeyn C. Computed Tomography Perfusion-Based Prediction of Core Infarct and Tissue at Risk: Can Artificial Intelligence Help Reduce Radiation Exposure? Stroke. 52: e755-e759. PMID 34670412 DOI: 10.1161/STROKEAHA.121.034266 |
0.42 |
|
| 2021 |
Priya S, Liu Y, Ward C, Le NH, Soni N, Pillenahalli Maheshwarappa R, Monga V, Zhang H, Sonka M, Bathla G. Radiomic Based Machine Learning Performance for a Three Class Problem in Neuro-Oncology: Time to Test the Waters? Cancers. 13. PMID 34073840 DOI: 10.3390/cancers13112568 |
0.44 |
|
| 2021 |
Priya S, Liu Y, Ward C, Le NH, Soni N, Pillenahalli Maheshwarappa R, Monga V, Zhang H, Sonka M, Bathla G. Machine learning based differentiation of glioblastoma from brain metastasis using MRI derived radiomics. Scientific Reports. 11: 10478. PMID 34006893 DOI: 10.1038/s41598-021-90032-w |
0.443 |
|
| 2021 |
Bathla G, Priya S, Liu Y, Ward C, Le NH, Soni N, Maheshwarappa RP, Monga V, Zhang H, Sonka M. Radiomics-based differentiation between glioblastoma and primary central nervous system lymphoma: a comparison of diagnostic performance across different MRI sequences and machine learning techniques. European Radiology. PMID 33890149 DOI: 10.1007/s00330-021-07845-6 |
0.426 |
|
| 2020 |
Guo Z, Zhang H, Chen Z, van der Plas E, Gutmann L, Thedens D, Nopoulos P, Sonka M. Fully automated 3D segmentation of MR-imaged calf muscle compartments: Neighborhood relationship enhanced fully convolutional network. Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society. 87: 101835. PMID 33373972 DOI: 10.1016/j.compmedimag.2020.101835 |
0.503 |
|
| 2020 |
Samaniego EA, Roa JA, Zhang H, Koscik TR, Ortega-Gutierrez S, Bathla G, Sonka M, Derdeyn C, Magnotta VA, Hasan D. Increased contrast enhancement of the parent vessel of unruptured intracranial aneurysms in 7T MR imaging. Journal of Neurointerventional Surgery. PMID 32424006 DOI: 10.1136/Neurintsurg-2020-015915 |
0.434 |
|
| 2020 |
Chen Z, Mullen S, Pazdernik M, Melenovsky V, Kautzner J, Karmazin V, Bedanova H, Tomasek A, Ozabalova E, Zhang H, Wahle A, Sonka M. Assessment of Cardiac Allograft Vasculopathy from Oct Images: Automated Analysis is as Good as Expert-Guided Approach The Journal of Heart and Lung Transplantation. 39: S77. DOI: 10.1016/J.Healun.2020.01.1296 |
0.588 |
|
| 2019 |
Pazdernik M, Wichterle D, Chen Z, Bedanova H, Kautzner J, Melenovsky V, Karmazin V, Malek I, Stiavnicky P, Tomasek A, Ozabalova E, Krejci J, Wahle A, Zhang H, Kovarnik T, et al. Heart rate and early progression of cardiac allograft vasculopathy: A prospective study using highly automated 3-D optical coherence tomography analysis. Clinical Transplantation. e13773. PMID 31859379 DOI: 10.1111/Ctr.13773 |
0.492 |
|
| 2019 |
Pazdernik M, Wichterle D, Chen Z, Zhang H, Wahle A, Kautzner J, Melenovsky V, Malek I, Karmazin V, Bedanova H, Ozabalova E, Tomasek A, Kovarnik T, Sonka M. Effect of Heart Rate on Early Progression of Cardiac Allograft Vasculopathy: A Prospective Study Using Highly Automated 3-D Optical Coherence Tomography Analysis Journal of Heart and Lung Transplantation. 38. DOI: 10.1016/J.Healun.2019.01.708 |
0.505 |
|
| 2019 |
Mullan S, Chen Z, Pazdernik M, Zhang H, Wahle A, Melenovsky V, Kautzner J, Karmazin V, Bedanova H, Tomasek A, Ozabalova E, Sonka M. Deep Learning Facilitates Automation of Wall Layer Quantification in Heart Transplant Coronary OCT The Journal of Heart and Lung Transplantation. 38: S281. DOI: 10.1016/J.Healun.2019.01.702 |
0.545 |
|
| 2019 |
Chen Z, Pazdernik M, Wahle A, Zhang H, Melenovsky V, Kautzner J, Karmazin V, Bedanova H, Tomasek A, Ozabalova E, Sonka M. Novel Descriptors of Coronary Wall Properties Measured by OCT at Baseline Are Associated with CAV-Related Intimal Thickening One Year after Heart Transplant The Journal of Heart and Lung Transplantation. 38: S98. DOI: 10.1016/J.Healun.2019.01.229 |
0.553 |
|
| 2018 |
Chen Z, Pazdernik M, Zhang H, Wahle A, Guo Z, Bedanova H, Kautzner J, Melenovsky V, Kovarnik T, Sonka M. Quantitative 3D Analysis of Coronary Wall Morphology in Heart Transplant Patients: OCT-Assessed Cardiac Allograft Vasculopathy Progression. Medical Image Analysis. 50: 95-105. PMID 30253306 DOI: 10.1016/J.Media.2018.09.003 |
0.541 |
|
| 2018 |
Kashyap S, Zhang H, Rao K, Sonka M. Learning-Based Cost Functions for 3-D and 4-D Multi-Surface Multi-Object Segmentation of Knee MRI: Data From the Osteoarthritis Initiative. Ieee Transactions On Medical Imaging. 37: 1103-1113. PMID 29727274 DOI: 10.1109/Tmi.2017.2781541 |
0.586 |
|
| 2018 |
Pazdernik M, Chen Z, Bedanova H, Kautzner J, Melenovsky V, Karmazin V, Malek I, Tomasek A, Ozabalova E, Krejci J, Franekova J, Wahle A, Zhang H, Kovarnik T, Sonka M. Early detection of cardiac allograft vasculopathy using highly automated 3-dimensional optical coherence tomography analysis. The Journal of Heart and Lung Transplantation : the Official Publication of the International Society For Heart Transplantation. PMID 29706574 DOI: 10.1016/J.Healun.2018.04.002 |
0.55 |
|
| 2018 |
Pazdernik M, Chen Z, Bedanova H, Kautzner J, Melenovsky V, Karmazin V, Malek I, Tomasek A, Ozabalova E, Krejci J, Franekova J, Wahle A, Zhang H, Kovarnik T, Sonka M. Detecting Early Cardiac Allograft Vasculopathy Using Highly Automated 3D Coronary Optical Coherence Tomography Segmentation Analysis The Journal of Heart and Lung Transplantation. 37: S105-S106. DOI: 10.1016/J.Healun.2018.01.252 |
0.537 |
|
| 2017 |
Kashyap S, Zhang H, Sonka M. Accurate Fully Automated 4D Segmentation of Osteoarthritic Knee MRI Osteoarthritis and Cartilage. 25: S227-S228. DOI: 10.1016/J.Joca.2017.02.391 |
0.554 |
|
| 2017 |
Kashyap S, Wahle A, Zhang H, Sonka M. Automated Prediction of Cartilage Thickness Changes in OAI MR Dataset Osteoarthritis and Cartilage. 25: S225-S226. DOI: 10.1016/J.Joca.2017.02.389 |
0.482 |
|
| 2017 |
Kashyap S, Zhang H, Sonka M. Just Enough Interaction for Fast Minimally Interactive Correction of 4D Segmentation of Knee MRI Osteoarthritis and Cartilage. 25: S224-S225. DOI: 10.1016/J.Joca.2017.02.388 |
0.516 |
|
| 2017 |
Chen Z, Wahle A, Guo Z, Zhang H, Karmazin V, Tomasek A, Bedanova H, Lopez J, Kovarnik T, Pazdernik M, Sonka M. Highly Automated Analysis of Intimal and Medial Thickness in Heart-Transplant Coronary OCT Facilitates Longitudinal Studies of CAV Progression The Journal of Heart and Lung Transplantation. 36: S155. DOI: 10.1016/J.Healun.2017.01.407 |
0.481 |
|
| 2016 |
Kashyap S, Oguz I, Zhang H, Sonka M. Automated Segmentation of Knee MRI Using Hierarchical Classifiers and Just Enough Interaction Based Learning: Data from Osteoarthritis Initiative. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 9901: 344-351. PMID 28626842 DOI: 10.1007/978-3-319-46723-8_40 |
0.474 |
|
| 2016 |
Li Y, Qiu Y, Zhang J, Zhu X, Zhu B, Liu X, Zhang X, Zhang H. Naphthalimide derived fluorescent probes with turn-on response for Au(3+) and the application for biological visualization. Biosensors & Bioelectronics. 83: 334-338. PMID 27135938 DOI: 10.1016/j.bios.2016.04.034 |
0.416 |
|
| 2016 |
Zhang H, Nan W, Wang S, Zhang T, Si H, Wang D, Yang F, Li G. Epidermal growth factor promotes proliferation of dermal papilla cells via Notch signaling pathway. Biochimie. PMID 27109378 DOI: 10.1016/j.biochi.2016.04.015 |
0.439 |
|
| 2016 |
Zhu C, Sun Y, Chao D, Wang X, Yang P, Zhang X, Huang H, Zhang H, Fan HJ. A 2.0 V capacitive device derived from shape-preserved metal nitride nanorods Nano Energy. 26: 1-6. DOI: 10.1016/J.Nanoen.2016.04.056 |
0.406 |
|
| 2016 |
Cheng JH, Sun DW, Qu JH, Pu HB, Zhang XC, Song Z, Chen X, Zhang H. Developing a multispectral imaging for simultaneous prediction of freshness indicators during chemical spoilage of grass carp fish fillet Journal of Food Engineering. 182: 9-17. DOI: 10.1016/j.jfoodeng.2016.02.004 |
0.493 |
|
| 2016 |
Zhang XQ, Pu C, Zhao X, Xue JF, Zhang R, Nie ZJ, Chen F, Lal R, Zhang HL. Tillage effects on carbon footprint and ecosystem services of climate regulation in a winter wheat-summer maize cropping system of the North China Plain Ecological Indicators. 67: 821-829. DOI: 10.1016/J.Ecolind.2016.03.046 |
0.402 |
|
| 2014 |
Oguz I, Zhang H, Rumple A, Sonka M. RATS: Rapid Automatic Tissue Segmentation in rodent brain MRI. Journal of Neuroscience Methods. 221: 175-82. PMID 24140478 DOI: 10.1016/J.Jneumeth.2013.09.021 |
0.532 |
|
| 2014 |
Zhang H, Zhang X, Scholz T, Sigurdsson G, Wahle A. PO-10 A MULTI-MODALITY 4D SYSTEM FOR ANALYSIS OF THE AORTIC MORPHOLOGY AND FUNCTION FROM MR OR CT Artery Research. 8: 169. DOI: 10.1016/J.Artres.2014.09.016 |
0.331 |
|
| 2013 |
Zhang H, Abiose AK, Gupta D, Campbell DN, Martins JB, Sonka M, Wahle A. Novel indices for left-ventricular dyssynchrony characterization based on highly automated segmentation from real-time 3-d echocardiography. Ultrasound in Medicine & Biology. 39: 72-88. PMID 23141901 DOI: 10.1016/J.Ultrasmedbio.2012.08.019 |
0.595 |
|
| 2011 |
Wahle A, Zhang H, Zhao F, Lee K, Downe RW, Olszewski ME, Ukil S, Tschirren J, Shikata H, Sonka M. Three-dimensional and four-dimensional cardiopulmonary image analysis Image-Based Computational Modeling of the Human Circulatory and Pulmonary Systems: Methods and Applications. 35-102. DOI: 10.1007/978-1-4419-7350-4_2 |
0.686 |
|
| 2010 |
Zhang H, Wahle A, Johnson RK, Scholz TD, Sonka M. 4-D cardiac MR image analysis: left and right ventricular morphology and function. Ieee Transactions On Medical Imaging. 29: 350-64. PMID 19709962 DOI: 10.1109/Tmi.2009.2030799 |
0.607 |
|
| 2010 |
Zhang H, Abiose AK, Campbell DN, Sonka M, Martins JB, Wahle A. Left-ventricle segmentation in real-time 3D echocardiography using a hybrid active shape model and optimal graph search approach Progress in Biomedical Optics and Imaging - Proceedings of Spie. 7626. DOI: 10.1117/12.844357 |
0.551 |
|
| 2009 |
Zhao F, Zhang H, Wahle A, Thomas MT, Stolpen AH, Scholz TD, Sonka M. Congenital aortic disease: 4D magnetic resonance segmentation and quantitative analysis. Medical Image Analysis. 13: 483-93. PMID 19303351 DOI: 10.1016/J.Media.2009.02.005 |
0.578 |
|
| 2009 |
Zhang H, Abiose AK, Buettner EJ, Birrer EK, Sonka M, Martins JB, Wahle A. Efficient cross-modality cardiac four-dimensional active appearance model construction Progress in Biomedical Optics and Imaging - Proceedings of Spie. 7262. DOI: 10.1117/12.811175 |
0.553 |
|
| 2007 |
Zhang H, Thomas MT, Walker NE, Stolpen AH, Wahle A, Scholz TD, Sonka M. Four-dimensional functional analysis of left and right ventricles using MR images and active appearance models Progress in Biomedical Optics and Imaging - Proceedings of Spie. 6511. DOI: 10.1117/12.709423 |
0.495 |
|
| 2006 |
Zhang H, Walker N, Mitchell SC, Thomas M, Wahle A, Scholz T, Sonka M. Analysis of four-dimensional cardiac ventricular magnetic resonance images using statistical models of ventricular shape and cardiac motion Progress in Biomedical Optics and Imaging - Proceedings of Spie. 6143. DOI: 10.1117/12.653621 |
0.689 |
|
| 2006 |
Hansen MS, Zhao F, Zhang H, Walker NE, Wahle A, Scholz T, Sonka M. Detection of connective tissue disorders from 3D aortic MR images using independent component analysis Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4241: 13-24. |
0.516 |
|
| 2005 |
Bu L, Munns S, Zhang H, Disterhoft M, Dixon M, Stolpen A, Sonka M, Scholz TD, Mahoney LT, Ge S. Rapid full volume data acquisition by real-time 3-dimensional echocardiography for assessment of left ventricular indexes in children: a validation study compared with magnetic resonance imaging. Journal of the American Society of Echocardiography : Official Publication of the American Society of Echocardiography. 18: 299-305. PMID 15846155 DOI: 10.1016/J.Echo.2004.11.002 |
0.556 |
|
| 2005 |
Ge S, Bu L, Zhang H, Schelbert E, Disterhoft M, Li X, Li X, Sahn D, Stolpen A, Sonka M. A real-time 3-dimensional digital Doppler method for measurement of flow rate and volume through mitral valve in children: a validation study compared with magnetic resonance imaging. Journal of the American Society of Echocardiography : Official Publication of the American Society of Echocardiography. 18: 1-7. PMID 15637481 DOI: 10.1016/J.Echo.2004.08.021 |
0.532 |
|
| 2005 |
McMahon EM, Korinek J, Zhang H, Sonka M, Manduca A, Belohlavek M. Neural network and principal component analyses of highly variable myocardial mechanical waveforms derived from echocardiographic ultrasound images Proceedings of the International Joint Conference On Neural Networks. 5: 3017-3022. DOI: 10.1109/IJCNN.2005.1556406 |
0.465 |
|
| 2004 |
Munns S, Bu L, Zhang H, Disterhoft M, Dixon M, Stolpen A, Sonka M, Mahoney L, Ge S. 1113-157 Real-time three-dimensional echocardiography for assessment of left ventricular function in children: A validation study compared with magnetic resonance imaging Journal of the American College of Cardiology. 43: A344. DOI: 10.1016/S0735-1097(04)91456-8 |
0.53 |
|
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