| Year |
Citation |
Score |
| 2021 |
Salanitri FP, Bellitto G, Irmakci I, Palazzo S, Bagci U, Spampinato C. Hierarchical 3D Feature Learning for Pancreas Segmentation. Machine Learning in Medical Imaging. Mlmi (Workshop). 12966: 238-247. PMID 36780259 DOI: 10.1007/978-3-030-87589-3_25 |
0.311 |
|
| 2021 |
Masoudi S, Harmon SA, Mehralivand S, Walker SM, Raviprakash H, Bagci U, Choyke PL, Turkbey B. Quick guide on radiology image pre-processing for deep learning applications in prostate cancer research. Journal of Medical Imaging (Bellingham, Wash.). 8: 010901. PMID 33426151 DOI: 10.1117/1.JMI.8.1.010901 |
0.304 |
|
| 2020 |
LaLonde R, Xu Z, Irmakci I, Jain S, Bagci U. Capsules for biomedical image segmentation. Medical Image Analysis. 68: 101889. PMID 33246227 DOI: 10.1016/j.media.2020.101889 |
0.309 |
|
| 2020 |
Masoudi S, Anwar SM, Harmon SA, Choyke PL, Turkbey B, Bagci U. Adipose Tissue Segmentation in Unlabeled Abdomen MRI using Cross Modality Domain Adaptation. Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual International Conference. 2020: 1624-1628. PMID 33018306 DOI: 10.1109/EMBC44109.2020.9176009 |
0.334 |
|
| 2020 |
Harmon SA, Sanford TH, Xu S, Turkbey EB, Roth H, Xu Z, Yang D, Myronenko A, Anderson V, Amalou A, Blain M, Kassin M, Long D, Varble N, Walker SM, ... Bagci U, et al. Artificial intelligence for the detection of COVID-19 pneumonia on chest CT using multinational datasets. Nature Communications. 11: 4080. PMID 32796848 DOI: 10.1038/S41467-020-17971-2 |
0.393 |
|
| 2020 |
Kalemaki MS, Karantanas AH, Exarchos D, Detorakis ET, Zoras O, Marias K, Millo C, Bagci U, Pallikaris I, Stratis A, Karatzanis I, Perisinakis K, Koutentakis P, Kontadakis GA, Spandidos DA, et al. PET/CT and PET/MRI in ophthalmic oncology (Review) International Journal of Oncology. 56: 417-429. PMID 31939615 DOI: 10.3892/Ijo.2020.4955 |
0.43 |
|
| 2020 |
Masoudi S, Razi A, Wright CHG, Gatlin JC, Bagci U. Instance-Level Microtubule Tracking. Ieee Transactions On Medical Imaging. PMID 31905134 DOI: 10.1109/Tmi.2019.2963865 |
0.314 |
|
| 2020 |
Hoogenboom SA, Bagci U, Wallace MB. Artificial intelligence in gastroenterology. The current state of play and the potential. How will it affect our practice and when Techniques in Gastrointestinal Endoscopy. 22: 42-47. DOI: 10.1016/J.Tgie.2019.150634 |
0.301 |
|
| 2020 |
Desai A, Caliva F, Iriondo C, Khosravan N, Mortazi A, Jambawalikar S, Torigian D, Ellermann J, Akcakaya M, Bagci U, Tibrewala R, Flament I, O'Brian M, Majumdar S, Perslev M, et al. A multi-institute automated segmentation evaluation on a standard dataset: Findings from the international workshop on osteoarthritis imaging segmentation challenge Osteoarthritis and Cartilage. 28: S304-S305. DOI: 10.1016/J.Joca.2020.02.477 |
0.367 |
|
| 2019 |
Zhuang X, Li L, Payer C, Štern D, Urschler M, Heinrich MP, Oster J, Wang C, Smedby Ö, Bian C, Yang X, Heng PA, Mortazi A, Bagci U, Yang G, et al. Evaluation of algorithms for Multi-Modality Whole Heart Segmentation: An open-access grand challenge. Medical Image Analysis. 58: 101537. PMID 31446280 DOI: 10.1016/J.Media.2019.101537 |
0.376 |
|
| 2019 |
Corral JE, Hussein S, Kandel P, Bolan CW, Bagci U, Wallace MB. Deep Learning to Classify Intraductal Papillary Mucinous Neoplasms Using Magnetic Resonance Imaging. Pancreas. 48: 805-810. PMID 31210661 DOI: 10.1097/Mpa.0000000000001327 |
0.307 |
|
| 2019 |
Papadakis G, Manikis G, Karantanas A, Florenzano P, Bagci U, Marias K, Collins M, Boyce A. F-N aF PET/CT IMAGING IN FIBROUS DYSPLASIA OF BONE. Journal of Bone and Mineral Research : the Official Journal of the American Society For Bone and Mineral Research. PMID 31116487 DOI: 10.1002/Jbmr.3738 |
0.363 |
|
| 2019 |
Stember JN, Celik H, Krupinski E, Chang PD, Mutasa S, Wood BJ, Lignelli A, Moonis G, Schwartz LH, Jambawalikar S, Bagci U. Eye Tracking for Deep Learning Segmentation Using Convolutional Neural Networks. Journal of Digital Imaging. PMID 31044392 DOI: 10.1007/S10278-019-00220-4 |
0.341 |
|
| 2019 |
Vinsard DG, Mori Y, Misawa M, Kudo SE, Rastogi A, Bagci U, Rex DK, Wallace MB. Quality assurance of computer-aided detection and diagnosis in colonoscopy. Gastrointestinal Endoscopy. 90: 55-63. PMID 30926431 DOI: 10.1016/J.Gie.2019.03.019 |
0.332 |
|
| 2019 |
Bogunovic H, Venhuizen F, Klimscha S, Apostolopoulos S, Bab-Hadiashar A, Bagci U, Beg MF, Bekalo L, Chen Q, Ciller C, Gopinath K, Gostar AK, Jeon K, Ji Z, Kang SH, et al. RETOUCH -The Retinal OCT Fluid Detection and Segmentation Benchmark and Challenge. Ieee Transactions On Medical Imaging. PMID 30835214 DOI: 10.1109/Tmi.2019.2901398 |
0.33 |
|
| 2019 |
Hussein S, Kandel P, Bolan CW, Wallace MB, Bagci U. Lung and Pancreatic Tumor Characterization in the Deep Learning Era: Novel Supervised and Unsupervised Learning Approaches. Ieee Transactions On Medical Imaging. PMID 30676950 DOI: 10.1109/Tmi.2019.2894349 |
0.354 |
|
| 2019 |
Torosdagli N, Liberton DK, Verma P, Sincan M, Lee JS, Bagci U. Deep Geodesic Learning for Segmentation and Anatomical Landmarking Ieee Transactions On Medical Imaging. 38: 919-931. PMID 30334750 DOI: 10.1109/Tmi.2018.2875814 |
0.363 |
|
| 2019 |
Anwar SM, Altaf T, Rafique K, RaviPrakash H, Mohy-ud-Din H, Bagci U. A Survey on Recent Advancements for AI Enabled Radiomics in Neuro-Oncology Lecture Notes in Computer Science. 11991: 24-35. DOI: 10.1007/978-3-030-40124-5_3 |
0.346 |
|
| 2018 |
Khosravan N, Celik H, Turkbey B, Jones EC, Wood B, Bagci U. A collaborative computer aided diagnosis (C-CAD) system with eye-tracking, sparse attentional model, and deep learning. Medical Image Analysis. 51: 101-115. PMID 30399507 DOI: 10.1016/J.Media.2018.10.010 |
0.317 |
|
| 2018 |
Irmakci I, Hussein S, Savran A, Kalyani RR, Reiter D, Chia CW, Fishbein K, Spencer RG, Ferrucci L, Bagci U. A Novel Extension to Fuzzy Connectivity for Body Composition Analysis: Applications in Thigh, Brain, and Whole Body Tissue Segmentation. Ieee Transactions On Bio-Medical Engineering. PMID 30176577 DOI: 10.1109/Tbme.2018.2866764 |
0.373 |
|
| 2018 |
Xu Z, Gao M, Papadakis GZ, Luna B, Jain S, Mollura DJ, Bagci U. Joint solution for PET image segmentation, denoising, and partial volume correction. Medical Image Analysis. 46: 229-243. PMID 29627687 DOI: 10.1016/J.Media.2018.03.007 |
0.414 |
|
| 2018 |
Gao M, Bagci U, Lu L, Wu A, Buty M, Shin HC, Roth H, Papadakis GZ, Depeursinge A, Summers RM, Xu Z, Mollura DJ. Holistic classification of CT attenuation patterns for interstitial lung diseases via deep convolutional neural networks. Computer Methods in Biomechanics and Biomedical Engineering. Imaging & Visualization. 6: 1-6. PMID 29623248 DOI: 10.1080/21681163.2015.1124249 |
0.445 |
|
| 2018 |
Burt JR, Torosdagli N, Khosravan N, RaviPrakash H, Mortazi A, Tissavirasingham F, Hussein S, Bagci U. Deep learning beyond cats and dogs: recent advances in diagnosing breast cancer with deep neural networks. The British Journal of Radiology. 20170545. PMID 29565644 DOI: 10.1259/Bjr.20170545 |
0.318 |
|
| 2017 |
Xiang D, Bagci U, Jin C, Shi F, Zhu W, Yao J, Sonka M, Chen X. CorteXpert: A model-based method for automatic renal cortex segmentation. Medical Image Analysis. 42: 257-273. PMID 28888170 DOI: 10.1016/J.Media.2017.06.010 |
0.327 |
|
| 2017 |
Green AL, Bagci U, Hussein S, Kelly PV, Muzaffar R, Neuschwander-Tetri BA, Osman MM. Brown adipose tissue detected by PET/CT imaging is associated with less central obesity. Nuclear Medicine Communications. PMID 28509766 DOI: 10.1097/Mnm.0000000000000691 |
0.387 |
|
| 2017 |
Papadakis GZ, Jha S, Bhattacharyya T, Millo C, Tu TW, Bagci U, Marias K, Karantanas AH, Patronas NJ. 18F-NaF PET/CT in Extensive Melorheostosis of the Axial and Appendicular Skeleton With Soft-Tissue Involvement. Clinical Nuclear Medicine. PMID 28319505 DOI: 10.1097/Rlu.0000000000001647 |
0.357 |
|
| 2017 |
Papadakis GZ, Millo C, Sadowski SM, Karantanas AH, Bagci U, Patronas NJ. Fibrous Dysplasia Mimicking Malignancy on 68Ga-DOTATATE PET/CT. Clinical Nuclear Medicine. PMID 28072620 DOI: 10.1097/Rlu.0000000000001527 |
0.315 |
|
| 2017 |
Papadakis GZ, Sadowski SM, Bagci U, Millo C. Application of 68Ga-DOTA-TATE PET/CT in metastatic neuroendocrine tumor of gastrointestinal origin. Annals of Gastroenterology. 30: 130-130. PMID 28042252 DOI: 10.20524/Aog.2016.0082S |
0.355 |
|
| 2017 |
Papadakis GZ, Millo C, Jassel IS, Bagci U, Sadowski SM, Karantanas AH, Patronas NJ. 18F-FDG and 68Ga-DOTATATE PET/CT in von Hippel-Lindau Disease-Associated Retinal Hemangioblastoma. Clinical Nuclear Medicine. 42: 189-190. PMID 28033220 DOI: 10.1097/Rlu.0000000000001511 |
0.368 |
|
| 2017 |
Papadakis GZ, Millo C, Karantanas AH, Bagci U, Patronas NJ. Avascular Necrosis of the Hips With Increased Activity on 68Ga-DOTATATE PET/CT. Clinical Nuclear Medicine. 42: 214-215. PMID 28033218 DOI: 10.1097/Rlu.0000000000001513 |
0.37 |
|
| 2016 |
Hussein S, Green A, Watane A, Reiter D, Chen X, Papadakis GZ, Wood B, Cypess A, Osman M, Bagci U. Automatic Segmentation and Quantification of White and Brown Adipose Tissues from PET/CT Scans. Ieee Transactions On Medical Imaging. PMID 28114010 DOI: 10.1109/Tmi.2016.2636188 |
0.405 |
|
| 2016 |
Papadakis GZ, Millo C, Sadowski SM, Karantanas AH, Bagci U, Patronas NJ. Breast Fibroadenoma With Increased Activity on 68Ga DOTATATE PET/CT. Clinical Nuclear Medicine. PMID 27879489 DOI: 10.1097/Rlu.0000000000001463 |
0.311 |
|
| 2016 |
Kopriva I, Ju W, Zhang B, Shi F, Xiang D, Yu K, Wang X, Bagci U, Chen X. Single-channel Sparse Nonnegative Blind Source Separation Method for Automatic 3D Delineation of Lung Tumor in PET Images. Ieee Journal of Biomedical and Health Informatics. PMID 27834658 DOI: 10.1109/Jbhi.2016.2624798 |
0.42 |
|
| 2016 |
Papadakis GZ, Millo C, Sadowski SM, Bagci U, Patronas NJ. Kidney Tumor in a von Hippel-Lindau (VHL) Patient With Intensely Increased Activity on 68Ga-DOTA-TATE PET/CT. Clinical Nuclear Medicine. PMID 27749408 DOI: 10.1097/Rlu.0000000000001393 |
0.364 |
|
| 2016 |
Papadakis GZ, Millo C, Bagci U, Blau J, Collins MT. 18F-NaF and 18F-FDG PET/CT in Gorham-Stout Disease. Clinical Nuclear Medicine. PMID 27648707 DOI: 10.1097/Rlu.0000000000001369 |
0.342 |
|
| 2016 |
Papadakis GZ, Millo C, Sadowski SM, Bagci U, Patronas NJ. Epididymal Cystadenomas in von Hippel-Lindau Disease Showing Increased Activity on 68Ga DOTATATE PET/CT. Clinical Nuclear Medicine. 41: 781-782. PMID 27454594 DOI: 10.1097/Rlu.0000000000001314 |
0.376 |
|
| 2016 |
Papadakis GZ, Millo C, Sadowski SM, Bagci U, Patronas NJ. Endolymphatic Sac Tumor Showing Increased Activity on 68Ga DOTATATE PET/CT Clinical Nuclear Medicine. 41: 783-784. PMID 27454593 DOI: 10.1097/Rlu.0000000000001315 |
0.343 |
|
| 2016 |
Candemir S, Jaeger S, Antani S, Bagci U, Folio LR, Xu Z, Thoma G. Atlas-based rib-bone detection in chest X-rays. Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society. 51: 32-39. PMID 27156048 DOI: 10.1016/J.Compmedimag.2016.04.002 |
0.317 |
|
| 2015 |
Papadakis GZ, Millo C, Bagci U, Sadowski SM, Stratakis CA. Schmorl Nodes Can Cause Increased 68Ga DOTATATE Activity on PET/CT, Mimicking Metastasis in Patients With Neuroendocrine Malignancy. Clinical Nuclear Medicine. PMID 26562580 DOI: 10.1097/Rlu.0000000000001065 |
0.372 |
|
| 2015 |
Mansoor A, Bagci U, Foster B, Xu Z, Papadakis GZ, Folio LR, Udupa JK, Mollura DJ. Segmentation and Image Analysis of Abnormal Lungs at CT: Current Approaches, Challenges, and Future Trends. Radiographics : a Review Publication of the Radiological Society of North America, Inc. 35: 1056-76. PMID 26172351 DOI: 10.1148/Rg.2015140232 |
0.439 |
|
| 2015 |
Xu Z, Bagci U, Mansoor A, Kramer-Marek G, Luna B, Kubler A, Dey B, Foster B, Papadakis GZ, Camp JV, Jonsson CB, Bishai WR, Jain S, Udupa JK, Mollura DJ. Computer-aided pulmonary image analysis in small animal models. Medical Physics. 42: 3896. PMID 26133591 DOI: 10.1118/1.4921618 |
0.327 |
|
| 2015 |
Xu Z, Bagci U, Foster B, Mansoor A, Udupa JK, Mollura DJ. A hybrid method for airway segmentation and automated measurement of bronchial wall thickness on CT. Medical Image Analysis. 24: 1-17. PMID 26026778 DOI: 10.1016/J.Media.2015.05.003 |
0.385 |
|
| 2015 |
Papadakis GZ, Millo C, Bagci U, Patronas NJ, Stratakis CA. Talc Pleurodesis With Intense 18F-FDG Activity But No 68Ga-DOTA-TATE Activity on PET/CT. Clinical Nuclear Medicine. 40: 819-820. PMID 26018715 DOI: 10.1097/Rlu.0000000000000807 |
0.354 |
|
| 2015 |
Luna B, Kubler A, Larsson C, Foster B, Bagci U, Mollura DJ, Jain SK, Bishai WR. In vivo prediction of tuberculosis-associated cavity formation in rabbits. The Journal of Infectious Diseases. 211: 481-5. PMID 25117755 DOI: 10.1093/Infdis/Jiu449 |
0.371 |
|
| 2015 |
Papadakis GZ, Bagci U, Sadowski SM, Patronas NJ, Stratakis CA. Ectopic ACTH and CRH Co-secreting tumor localized by 68Ga-DOTA-TATE PET/CT Clinical Nuclear Medicine. 40: 576-578. DOI: 10.1097/Rlu.0000000000000806 |
0.372 |
|
| 2015 |
Spergel AKR, Chen CC, Beegle CA, Littel P, Garofalo M, Anaya-O'Brien S, Marquesen M, Bagci U, Mollura DJ, Gallin JI, Malech HL. The Use of Radiolabelled 18-F-2-Deoxy-2-Fluro-Glucose (18-FDG) in Combined Positron Emission Tomography-Computed Tomography (PET-CT) to Evaluate Infection: Lessons Learned from a Case Series of 23 Patients with Chronic Granulomatous Disease (CGD) The Journal of Allergy and Clinical Immunology. 135. DOI: 10.1016/J.Jaci.2014.12.1254 |
0.371 |
|
| 2015 |
Xu Z, Bagci U, Udupa JK, Mollura DJ. Fuzzy connectedness image co-segmentation for hybrid PET/MRI and PET/CT scans Lecture Notes in Computational Vision and Biomechanics. 22: 15-24. DOI: 10.1007/978-3-319-18431-9_2 |
0.307 |
|
| 2014 |
Mansoor A, Bagci U, Mollura DJ. Near-optimal keypoint sampling for fast pathological lung segmentation. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2014: 6032-5. PMID 25571372 DOI: 10.1109/EMBC.2014.6945004 |
0.31 |
|
| 2014 |
Xu Z, Bagci U, Seidel J, Thomasson D, Solomon J, Mollura DJ. Segmentation based denoising of PET images: an iterative approach via regional means and affinity propagation. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 17: 698-705. PMID 25333180 DOI: 10.1007/978-3-319-10404-1_87 |
0.314 |
|
| 2014 |
Mansoor A, Bagci U, Xu Z, Foster B, Olivier KN, Elinoff JM, Suffredini AF, Udupa JK, Mollura DJ. A generic approach to pathological lung segmentation. Ieee Transactions On Medical Imaging. 33: 2293-310. PMID 25020069 DOI: 10.1109/Tmi.2014.2337057 |
0.38 |
|
| 2014 |
Foster B, Bagci U, Mansoor A, Xu Z, Mollura DJ. A review on segmentation of positron emission tomography images. Computers in Biology and Medicine. 50: 76-96. PMID 24845019 DOI: 10.1016/J.Compbiomed.2014.04.014 |
0.444 |
|
| 2014 |
Foster B, Bagci U, Ziyue Xu, Dey B, Luna B, Bishai W, Jain S, Mollura DJ. Segmentation of PET images for computer-aided functional quantification of tuberculosis in small animal models. Ieee Transactions On Bio-Medical Engineering. 61: 711-24. PMID 24235292 DOI: 10.1109/Tbme.2013.2288258 |
0.412 |
|
| 2013 |
Xu Z, Bagci U, Kubler A, Luna B, Jain S, Bishai WR, Mollura DJ. Computer-aided detection and quantification of cavitary tuberculosis from CT scans. Medical Physics. 40: 113701. PMID 24320475 DOI: 10.1118/1.4824979 |
0.349 |
|
| 2013 |
Bagci U, Jaster-Miller K, Olivier KN, Yao J, Mollura DJ. Synergistic combination of clinical and imaging features predicts abnormal imaging patterns of pulmonary infections. Computers in Biology and Medicine. 43: 1241-51. PMID 23930819 DOI: 10.1016/J.Compbiomed.2013.06.008 |
0.406 |
|
| 2013 |
Bagci U, Foster B, Miller-Jaster K, Luna B, Dey B, Bishai WR, Jonsson CB, Jain S, Mollura DJ. A computational pipeline for quantification of pulmonary infections in small animal models using serial PET-CT imaging. Ejnmmi Research. 3: 55. PMID 23879987 DOI: 10.1186/2191-219X-3-55 |
0.443 |
|
| 2013 |
Bagci U, Udupa JK, Mendhiratta N, Foster B, Xu Z, Yao J, Chen X, Mollura DJ. Joint segmentation of anatomical and functional images: applications in quantification of lesions from PET, PET-CT, MRI-PET, and MRI-PET-CT images. Medical Image Analysis. 17: 929-45. PMID 23837967 DOI: 10.1016/J.Media.2013.05.004 |
0.461 |
|
| 2013 |
Bagci U, Kramer-Marek G, Mollura DJ. Automated computer quantification of breast cancer in small-animal models using PET-guided MR image co-segmentation. Ejnmmi Research. 3: 49. PMID 23829944 DOI: 10.1186/2191-219X-3-49 |
0.465 |
|
| 2013 |
Bagci U, Yao J, Miller-Jaster K, Chen X, Mollura DJ. Predicting future morphological changes of lesions from radiotracer uptake in 18F-FDG-PET images. Plos One. 8: e57105. PMID 23431398 DOI: 10.1371/Journal.Pone.0057105 |
0.432 |
|
| 2013 |
Lim PH, Bagci U, Bai L. Introducing Willmore flow into level set segmentation of spinal vertebrae. Ieee Transactions On Bio-Medical Engineering. 60: 115-22. PMID 23144025 DOI: 10.1109/Tbme.2012.2225833 |
0.304 |
|
| 2012 |
Bagci U, Udupa JK, Yao J, Mollura DJ. Co-segmentation of functional and anatomical images. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 15: 459-67. PMID 23286163 DOI: 10.1007/978-3-642-33454-2_57 |
0.355 |
|
| 2012 |
Kramer-Marek G, Bernardo M, Kiesewetter DO, Bagci U, Kuban M, Aras O, Omer A, Zielinski R, Seidel J, Choyke P, Capala J. PET of HER2-positive pulmonary metastases with 18F-ZHER2:342 affibody in a murine model of breast cancer: comparison with 18F-FDG. Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine. 53: 939-46. PMID 22582046 DOI: 10.2967/Jnumed.111.100354 |
0.315 |
|
| 2012 |
Bagci U, Yao J, Wu A, Caban J, Palmore TN, Suffredini AF, Aras O, Mollura DJ. Automatic detection and quantification of tree-in-bud (TIB) opacities from CT scans. Ieee Transactions On Bio-Medical Engineering. 59: 1620-32. PMID 22434795 DOI: 10.1109/Tbme.2012.2190984 |
0.409 |
|
| 2012 |
Chen X, Summers RM, Cho M, Bagci U, Yao J. An automatic method for renal cortex segmentation on CT images: evaluation on kidney donors. Academic Radiology. 19: 562-70. PMID 22341876 DOI: 10.1016/J.Acra.2012.01.005 |
0.336 |
|
| 2012 |
Chen X, Udupa JK, Bagci U, Zhuge Y, Yao J. Medical image segmentation by combining graph cuts and oriented active appearance models. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society. 21: 2035-46. PMID 22311862 DOI: 10.1109/Tip.2012.2186306 |
0.345 |
|
| 2012 |
Bagci U, Chen X, Udupa JK. Hierarchical scale-based multiobject recognition of 3-D anatomical structures. Ieee Transactions On Medical Imaging. 31: 777-89. PMID 22203704 DOI: 10.1109/Tmi.2011.2180920 |
0.401 |
|
| 2012 |
Bağcı U, Bray M, Caban J, Yao J, Mollura DJ. Corrigendum to “Computer-assisted detection of infectious lung diseases: A review” [Comput. Med. Imag. Graph. 36 (2012) 72–84] Computerized Medical Imaging and Graphics. 36: 169. DOI: 10.1016/J.Compmedimag.2011.12.003 |
0.335 |
|
| 2011 |
Bagci U, Yao J, Caban J, Suffredini AF, Palmore TN, Mollura DJ. Learning shape and texture characteristics of CT tree-in-bud opacities for CAD systems. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 14: 215-22. PMID 22003702 DOI: 10.1007/978-3-642-23626-6_27 |
0.302 |
|
| 2011 |
Chen X, Bagci U. 3D automatic anatomy segmentation based on iterative graph-cut-ASM. Medical Physics. 38: 4610-22. PMID 21928634 DOI: 10.1118/1.3602070 |
0.371 |
|
| 2011 |
Bağci U, Udupa JK, Chen X. Orientation estimation of anatomical structures in medical images for object recognition Proceedings of Spie. 7962. DOI: 10.1117/12.878184 |
0.324 |
|
| 2011 |
Bagci U, Udupa JK, Chen X. Intensity non-standardness affects computer recognition of anatomical structures Proceedings of Spie. 7964. DOI: 10.1117/12.877779 |
0.372 |
|
| 2010 |
Chen X, Udupa JK, Bagci U, Alavi A, Torigian DA. 3D automatic anatomy recognition based on iterative graph-cut-ASM Proceedings of Spie. 7625. DOI: 10.1117/12.844551 |
0.389 |
|
| 2010 |
Bagci U, Udupa JK, Bai L. The influence of intensity standardization on medical image registration Proceedings of Spie. 7625. DOI: 10.1117/12.843969 |
0.368 |
|
| 2010 |
Bağci U, Udupa JK, Chen X. Ball-scale based hierarchical multi-object recognition in 3D medical images Proceedings of Spie. 7623: 762345. DOI: 10.1117/12.839920 |
0.351 |
|
| 2010 |
Bağcı U, Udupa JK, Bai L. The role of intensity standardization in medical image registration Pattern Recognition Letters. 31: 315-323. DOI: 10.1016/J.Patrec.2009.09.010 |
0.368 |
|
| Show low-probability matches. |