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Items: 1 to 50 of 84

1.

"Quantification of head shape from three-dimensional photography for pre- and post-surgical evaluation of craniosynostosis".

Porras AR, Tu L, Tsering D, Mantilla E, Oh A, Enquobahrie A, Keating R, Rogers GF, Linguraru MG.

Plast Reconstr Surg. 2019 Aug 27. doi: 10.1097/PRS.0000000000006260. [Epub ahead of print]

PMID:
31464978
2.

A Generic Approach to Lung Field Segmentation from Chest Radiographs using Deep Space and Shape Learning.

Mansoor A, Cerrolaza J, Perez G, Biggs E, Okada K, Nino G, Linguraru MG.

IEEE Trans Biomed Eng. 2019 Aug 14. doi: 10.1109/TBME.2019.2933508. [Epub ahead of print]

PMID:
31425015
3.

Pilot study of the potential of 3D ultrasound to measure tonsillar volume and hypertrophy.

Chung D, Bandarkar A, Rana MS, Tabrizi PR, Preciado D, Jago J, Linguraru MG, Reilly BK.

Int J Pediatr Otorhinolaryngol. 2019 Jul 31;126:109612. doi: 10.1016/j.ijporl.2019.109612. [Epub ahead of print]

PMID:
31408743
4.

Quantitative evaluation of local head malformations from three-dimensional photography: application to craniosynostosis.

Tu L, Porras AR, Oh A, Lepore N, Buck GC, Tsering D, Enquobahrie A, Keating R, Rogers GF, Linguraru MG.

Proc SPIE Int Soc Opt Eng. 2019 Feb;10950. pii: 1095035. doi: 10.1117/12.2512272. Epub 2019 Mar 13.

5.

Computational anatomy for multi-organ analysis in medical imaging: A review.

Cerrolaza JJ, Picazo ML, Humbert L, Sato Y, Rueckert D, Ballester MÁG, Linguraru MG.

Med Image Anal. 2019 Aug;56:44-67. doi: 10.1016/j.media.2019.04.002. Epub 2019 May 15.

PMID:
31181343
6.

Liver segmentation from low-radiation-dose pediatric computed tomography using patient-specific, statistical modeling.

Nakayama K, Saito A, Biggs E, Linguraru MG, Shimizu A.

Int J Comput Assist Radiol Surg. 2019 Mar 14. doi: 10.1007/s11548-019-01929-x. [Epub ahead of print]

PMID:
30875059
7.

Ventricular shape evaluation on early ultrasound predicts post-hemorrhagic hydrocephalus.

Obeid R, Tabrizi PR, Mansoor A, Cerrolaza JJ, Chang T, Penn AA, Linguraru MG.

Pediatr Res. 2019 Feb;85(3):293-298. doi: 10.1038/s41390-018-0252-0. Epub 2018 Dec 10.

PMID:
30631137
8.

Cornelia de Lange syndrome in diverse populations.

Dowsett L, Porras AR, Kruszka P, Davis B, Hu T, Honey E, Badoe E, Thong MK, Leon E, Girisha KM, Shukla A, Nayak SS, Shotelersuk V, Megarbane A, Phadke S, Sirisena ND, Dissanayake VHW, Ferreira CR, Kisling MS, Tanpaiboon P, Uwineza A, Mutesa L, Tekendo-Ngongang C, Wonkam A, Fieggen K, Batista LC, Moretti-Ferreira D, Stevenson RE, Prijoles EJ, Everman D, Clarkson K, Worthington J, Kimonis V, Hisama F, Crowe C, Wong P, Johnson K, Clark RD, Bird L, Masser-Frye D, McDonald M, Willems P, Roeder E, Saitta S, Anyane-Yeoba K, Demmer L, Hamajima N, Stark Z, Gillies G, Hudgins L, Dave U, Shalev S, Siu V, Ades A, Dubbs H, Raible S, Kaur M, Salzano E, Jackson L, Deardorff M, Kline A, Summar M, Muenke M, Linguraru MG, Krantz ID.

Am J Med Genet A. 2019 Feb;179(2):150-158. doi: 10.1002/ajmg.a.61033. Epub 2019 Jan 6.

PMID:
30614194
9.

Automatic Segmentation of Neonatal Ventricles from Cranial Ultrasound for Prediction of Intraventricular Hemorrhage Outcome.

Tabrizi PR, Obeid R, Cerrolaza JJ, Penn A, Mansoor A, Linguraru MG.

Conf Proc IEEE Eng Med Biol Soc. 2018 Jul;2018:3136-3139. doi: 10.1109/EMBC.2018.8513097.

PMID:
30441059
10.

Locally Affine Diffeomorphic Surface Registration and Its Application to Surgical Planning of Fronto-Orbital Advancement.

Porras AR, Paniagua B, Ensel S, Keating R, Rogers GF, Enquobahrie A, Linguraru MG.

IEEE Trans Med Imaging. 2018 Jul;37(7):1690-1700. doi: 10.1109/TMI.2018.2816402.

11.

Williams-Beuren syndrome in diverse populations.

Kruszka P, Porras AR, de Souza DH, Moresco A, Huckstadt V, Gill AD, Boyle AP, Hu T, Addissie YA, Mok GTK, Tekendo-Ngongang C, Fieggen K, Prijoles EJ, Tanpaiboon P, Honey E, Luk HM, Lo IFM, Thong MK, Muthukumarasamy P, Jones KL, Belhassan K, Ouldim K, El Bouchikhi I, Bouguenouch L, Shukla A, Girisha KM, Sirisena ND, Dissanayake VHW, Paththinige CS, Mishra R, Kisling MS, Ferreira CR, de Herreros MB, Lee NC, Jamuar SS, Lai A, Tan ES, Ying Lim J, Wen-Min CB, Gupta N, Lotz-Esquivel S, Badilla-Porras R, Hussen DF, El Ruby MO, Ashaat EA, Patil SJ, Dowsett L, Eaton A, Innes AM, Shotelersuk V, Badoe Ë, Wonkam A, Obregon MG, Chung BHY, Trubnykova M, La Serna J, Gallardo Jugo BE, Chávez Pastor M, Abarca Barriga HH, Megarbane A, Kozel BA, van Haelst MM, Stevenson RE, Summar M, Adeyemo AA, Morris CA, Moretti-Ferreira D, Linguraru MG, Muenke M.

Am J Med Genet A. 2018 May;176(5):1128-1136. doi: 10.1002/ajmg.a.38672.

12.

Locally affine diffeomorphic surface registration for planning of metopic craniosynostosis surgery.

Porras AR, Paniagua B, Enquobahrie A, Ensel S, Shah H, Keating R, Rogers GF, Linguraru MG.

Med Image Comput Comput Assist Interv. 2017 Sep;10434:479-487. doi: 10.1007/978-3-319-66185-8_54. Epub 2017 Sep 4.

13.

Radiation-free quantification of head malformations in craniosynostosis patients from 3D photography.

Tu L, Porras AR, Oh A, Lepore N, Mastromanolis M, Tsering D, Paniagua B, Enquobahrie A, Keating R, Rogers GF, Linguraru MG.

Proc SPIE Int Soc Opt Eng. 2018 Feb;10575. pii: 105751U. doi: 10.1117/12.2295374. Epub 2018 Feb 27.

14.

Intracranial Volume Quantification from 3D Photography.

Tu L, Porras AR, Ensel S, Tsering D, Paniagua B, Enquobahrie A, Oh A, Keating R, Rogers GF, Linguraru MG.

Comput Assist Robot Endosc Clin Image Based Proced (2017). 2017;10550:116-123. doi: 10.1007/978-3-319-67543-5_11. Epub 2017 Sep 8.

15.

Early Detection of Ureteropelvic Junction Obstruction Using Signal Analysis and Machine Learning: A Dynamic Solution to a Dynamic Problem.

Blum ES, Porras AR, Biggs E, Tabrizi PR, Sussman RD, Sprague BM, Shalaby-Rana E, Majd M, Pohl HG, Linguraru MG.

J Urol. 2018 Mar;199(3):847-852. doi: 10.1016/j.juro.2017.09.147. Epub 2017 Oct 21.

PMID:
29066360
16.

Cranial ultrasound-based prediction of post hemorrhagic hydrocephalus outcome in premature neonates with intraventricular hemorrhage.

Tabrizi PR, Obeid R, Mansoor A, Ensel S, Cerrolaza JJ, Penn A, Linguraru MG.

Conf Proc IEEE Eng Med Biol Soc. 2017 Jul;2017:169-172. doi: 10.1109/EMBC.2017.8036789.

PMID:
29059837
17.

Design of patient-specific concentric tube robots using path planning from 3-D ultrasound.

Morimoto TK, Cerrolaza JJ, Hsieh MH, Cleary K, Okamura AM, Linguraru MG.

Conf Proc IEEE Eng Med Biol Soc. 2017 Jul;2017:165-168. doi: 10.1109/EMBC.2017.8036788.

18.

Cranial thickness changes in early childhood.

Gajawelli N, Deoni S, Shi J, Dirks H, Linguraru MG, Nelson MD, Wang Y, Lepore N.

Proc SPIE Int Soc Opt Eng. 2017 Oct;10572. pii: 105720O. doi: 10.1117/12.2286736. Epub 2017 Nov 17.

19.

Noonan syndrome in diverse populations.

Kruszka P, Porras AR, Addissie YA, Moresco A, Medrano S, Mok GTK, Leung GKC, Tekendo-Ngongang C, Uwineza A, Thong MK, Muthukumarasamy P, Honey E, Ekure EN, Sokunbi OJ, Kalu N, Jones KL, Kaplan JD, Abdul-Rahman OA, Vincent LM, Love A, Belhassan K, Ouldim K, El Bouchikhi I, Shukla A, Girisha KM, Patil SJ, Sirisena ND, Dissanayake VHW, Paththinige CS, Mishra R, Klein-Zighelboim E, Gallardo Jugo BE, Chávez Pastor M, Abarca-Barriga HH, Skinner SA, Prijoles EJ, Badoe E, Gill AD, Shotelersuk V, Smpokou P, Kisling MS, Ferreira CR, Mutesa L, Megarbane A, Kline AD, Kimball A, Okello E, Lwabi P, Aliku T, Tenywa E, Boonchooduang N, Tanpaiboon P, Richieri-Costa A, Wonkam A, Chung BHY, Stevenson RE, Summar M, Mandal K, Phadke SR, Obregon MG, Linguraru MG, Muenke M.

Am J Med Genet A. 2017 Sep;173(9):2323-2334. doi: 10.1002/ajmg.a.38362. Epub 2017 Jul 27.

20.

Marginal Shape Deep Learning: Applications to Pediatric Lung Field Segmentation.

Mansoor A, Cerrolaza JJ, Perez G, Biggs E, Nino G, Linguraru MG.

Proc SPIE Int Soc Opt Eng. 2017 Feb 11;10133. pii: 1013304. doi: 10.1117/12.2254412. Epub 2017 Feb 24.

21.

22q11.2 deletion syndrome in diverse populations.

Kruszka P, Addissie YA, McGinn DE, Porras AR, Biggs E, Share M, Crowley TB, Chung BH, Mok GT, Mak CC, Muthukumarasamy P, Thong MK, Sirisena ND, Dissanayake VH, Paththinige CS, Prabodha LB, Mishra R, Shotelersuk V, Ekure EN, Sokunbi OJ, Kalu N, Ferreira CR, Duncan JM, Patil SJ, Jones KL, Kaplan JD, Abdul-Rahman OA, Uwineza A, Mutesa L, Moresco A, Obregon MG, Richieri-Costa A, Gil-da-Silva-Lopes VL, Adeyemo AA, Summar M, Zackai EH, McDonald-McGinn DM, Linguraru MG, Muenke M.

Am J Med Genet A. 2017 Apr;173(4):879-888. doi: 10.1002/ajmg.a.38199.

22.

Personalized Optimal Planning for the Surgical Correction of Metopic Craniosynostosis.

Porras AR, Zukic D, Equobahrie A, Rogers GF, Linguraru MG.

Clin Image Based Proced. 2016;2016:60-67. doi: 10.1007/978-3-319-46472-5_8. Epub 2016 Sep 21.

23.

Down syndrome in diverse populations.

Kruszka P, Porras AR, Sobering AK, Ikolo FA, La Qua S, Shotelersuk V, Chung BH, Mok GT, Uwineza A, Mutesa L, Moresco A, Obregon MG, Sokunbi OJ, Kalu N, Joseph DA, Ikebudu D, Ugwu CE, Okoromah CA, Addissie YA, Pardo KL, Brough JJ, Lee NC, Girisha KM, Patil SJ, Ng IS, Min BC, Jamuar SS, Tibrewal S, Wallang B, Ganesh S, Sirisena ND, Dissanayake VH, Paththinige CS, Prabodha LB, Richieri-Costa A, Muthukumarasamy P, Thong MK, Jones KL, Abdul-Rahman OA, Ekure EN, Adeyemo AA, Summar M, Linguraru MG, Muenke M.

Am J Med Genet A. 2017 Jan;173(1):42-53. doi: 10.1002/ajmg.a.38043.

PMID:
27991738
24.

Optic pathway glioma volume predicts retinal axon degeneration in neurofibromatosis type 1.

Avery RA, Mansoor A, Idrees R, Trimboli-Heidler C, Ishikawa H, Packer RJ, Linguraru MG.

Neurology. 2016 Dec 6;87(23):2403-2407. Epub 2016 Nov 4.

25.

Renal Segmentation From 3D Ultrasound via Fuzzy Appearance Models and Patient-Specific Alpha Shapes.

Cerrolaza JJ, Safdar N, Biggs E, Jago J, Peters CA, Linguraru MG.

IEEE Trans Med Imaging. 2016 Nov;35(11):2393-2402. Epub 2016 May 24.

PMID:
27244730
26.

Quantitative MRI criteria for optic pathway enlargement in neurofibromatosis type 1.

Avery RA, Mansoor A, Idrees R, Biggs E, Alsharid MA, Packer RJ, Linguraru MG.

Neurology. 2016 Jun 14;86(24):2264-70. doi: 10.1212/WNL.0000000000002771. Epub 2016 May 11.

27.

Deep Learning Guided Partitioned Shape Model for Anterior Visual Pathway Segmentation.

Mansoor A, Cerrolaza JJ, Idrees R, Biggs E, Alsharid MA, Avery RA, Linguraru MG.

IEEE Trans Med Imaging. 2016 Aug;35(8):1856-65. doi: 10.1109/TMI.2016.2535222. Epub 2016 Feb 26.

PMID:
26930677
28.

Severity quantification of pediatric viral respiratory illnesses in chest X-ray images.

Okada K, Golbaz M, Mansoor A, Perez GF, Pancham K, Khan A, Nino G, Linguraru MG.

Conf Proc IEEE Eng Med Biol Soc. 2015;2015:165-8. doi: 10.1109/EMBC.2015.7318326.

29.

Quantification of kidneys from 3D ultrasound in pediatric hydronephrosis.

Cerrolaza JJ, Grisan E, Safdar N, Myers E, Jago J, Peters CA, Linguraru MG.

Conf Proc IEEE Eng Med Biol Soc. 2015;2015:157-60. doi: 10.1109/EMBC.2015.7318324.

PMID:
26736224
30.

Automatic tissue characterization of air trapping in chest radiographs using deep neural networks.

Mansoor A, Perez G, Nino G, Linguraru MG.

Conf Proc IEEE Eng Med Biol Soc. 2016 Aug;2016:97-100. doi: 10.1109/EMBC.2016.7590649.

31.

What's in a Name? Accurately Diagnosing Metopic Craniosynostosis Using a Computational Approach.

Wood BC, Mendoza CS, Oh AK, Myers E, Safdar N, Linguraru MG, Rogers GF.

Plast Reconstr Surg. 2016 Jan;137(1):205-13. doi: 10.1097/PRS.0000000000001938.

PMID:
26710024
32.

Quantitative Ultrasound for Measuring Obstructive Severity in Children with Hydronephrosis.

Cerrolaza JJ, Peters CA, Martin AD, Myers E, Safdar N, Linguraru MG.

J Urol. 2016 Apr;195(4 Pt 1):1093-9. doi: 10.1016/j.juro.2015.10.173. Epub 2015 Nov 6.

PMID:
26551298
33.

Abdominal multi-organ segmentation from CT images using conditional shape-location and unsupervised intensity priors.

Okada T, Linguraru MG, Hori M, Summers RM, Tomiyama N, Sato Y.

Med Image Anal. 2015 Dec;26(1):1-18. doi: 10.1016/j.media.2015.06.009. Epub 2015 Jul 4.

34.

Automatic multi-resolution shape modeling of multi-organ structures.

Cerrolaza JJ, Reyes M, Summers RM, González-Ballester MÁ, Linguraru MG.

Med Image Anal. 2015 Oct;25(1):11-21. doi: 10.1016/j.media.2015.04.003. Epub 2015 Apr 15.

35.

Noninvasive differential diagnosis of dental periapical lesions in cone-beam CT scans.

Okada K, Rysavy S, Flores A, Linguraru MG.

Med Phys. 2015 Apr;42(4):1653-65. doi: 10.1118/1.4914418.

PMID:
25832055
36.

Ensemble learning for the detection of facial dysmorphology.

Zhao Q, Werghi N, Okada K, Rosenbaum K, Summar M, Linguraru MG.

Conf Proc IEEE Eng Med Biol Soc. 2014;2014:754-7. doi: 10.1109/EMBC.2014.6943700.

PMID:
25570068
37.

Computer-aided detection of renal calculi from noncontrast CT images using TV-flow and MSER features.

Liu J, Wang S, Turkbey EB, Linguraru MG, Yao J, Summers RM.

Med Phys. 2015 Jan;42(1):144-53. doi: 10.1118/1.4903056.

38.

Optimizing area under the ROC curve using semi-supervised learning.

Wang S, Li D, Petrick N, Sahiner B, Linguraru MG, Summers RM.

Pattern Recognit. 2015 Jan 1;48(1):276-287.

39.

Chest modeling and personalized surgical planning for pectus excavatum.

Zhao Q, Safdar N, Duan C, Sandler A, Linguraru MG.

Med Image Comput Comput Assist Interv. 2014;17(Pt 1):512-9.

PMID:
25333157
40.

Generalized multiresolution hierarchical shape models via automatic landmark clusterization.

Cerrolaza JJ, Villanueva A, Reyes M, Cabeza R, González Ballester MA, Linguraru MG.

Med Image Comput Comput Assist Interv. 2014;17(Pt 3):1-8.

PMID:
25320775
41.

Estimation of prenatal aorta intima-media thickness from ultrasound examination.

Veronese E, Tarroni G, Visentin S, Cosmi E, Linguraru MG, Grisan E.

Phys Med Biol. 2014 Nov 7;59(21):6355-71. doi: 10.1088/0022-3727/59/21/6355. Epub 2014 Oct 8.

PMID:
25295390
42.

Computer-aided detection of exophytic renal lesions on non-contrast CT images.

Liu J, Wang S, Linguraru MG, Yao J, Summers RM.

Med Image Anal. 2015 Jan;19(1):15-29. doi: 10.1016/j.media.2014.07.005. Epub 2014 Aug 15.

43.

Computed tomography correlates with cardiopulmonary hemodynamics in pulmonary hypertension in adults with sickle cell disease.

Linguraru MG, Pura JA, Gladwin MT, Koroulakis AI, Minniti C, Machado RF, Kato GJ, Wood BJ.

Pulm Circ. 2014 Jun;4(2):319-29. doi: 10.1086/675997.

44.

Tumor sensitive matching flow: A variational method to detecting and segmenting perihepatic and perisplenic ovarian cancer metastases on contrast-enhanced abdominal CT.

Liu J, Wang S, Linguraru MG, Yao J, Summers RM.

Med Image Anal. 2014 Jul;18(5):725-39. doi: 10.1016/j.media.2014.04.001. Epub 2014 Apr 18.

45.

Digital facial dysmorphology for genetic screening: Hierarchical constrained local model using ICA.

Zhao Q, Okada K, Rosenbaum K, Kehoe L, Zand DJ, Sze R, Summar M, Linguraru MG.

Med Image Anal. 2014 Jul;18(5):699-710. doi: 10.1016/j.media.2014.04.002. Epub 2014 Apr 15.

PMID:
24835178
46.

Personalized assessment of craniosynostosis via statistical shape modeling.

Mendoza CS, Safdar N, Okada K, Myers E, Rogers GF, Linguraru MG.

Med Image Anal. 2014 May;18(4):635-46. doi: 10.1016/j.media.2014.02.008. Epub 2014 Mar 12.

PMID:
24713202
47.

Multiresolution hierarchical shape models in 3D subcortical brain structures.

Cerrolaza JJ, Herrezuelo NC, Villanueva A, Cabeza R, González Ballester MA, Linguraru MG.

Med Image Comput Comput Assist Interv. 2013;16(Pt 2):641-8.

PMID:
24579195
48.

Hierarchical constrained local model using ICA and its application to Down syndrome detection.

Zhao Q, Okada K, Rosenbaum K, Zand DJ, Sze R, Summar M, Linguraru MG.

Med Image Comput Comput Assist Interv. 2013;16(Pt 2):222-9.

PMID:
24579144
49.

A variational framework for joint detection and segmentation of ovarian cancer metastases.

Liu J, Wang S, Linguraru MG, Yao J, Summers RM.

Med Image Comput Comput Assist Interv. 2013;16(Pt 2):83-90.

50.

Abdominal multi-organ CT segmentation using organ correlation graph and prediction-based shape and location priors.

Okada T, Linguraru MG, Hori M, Summers RM, Tomiyama N, Sato Y.

Med Image Comput Comput Assist Interv. 2013;16(Pt 3):275-82.

PMID:
24505771

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