Publications - 2014

2014

1. E. Throung, M. M. Brister; C. E. Crespo-Hernández, “Examining the Structural Photo-Reactivity Relationship in Nitro-Naphthalene Derivatives by using Quantum-Chemical Methods”, ACS Seed Program, Case Western Reserve University, Cleveland, Ohio, July 30, 2014.(Poster Presentation)

2. John T. Giblin, Jr. and James B. Mertens, Gravitational radiation from first-order phase transitions in the presence of a fluid, Phys. Rev. D 90, 023532 – Published 22 July 2014

3. Villarreal SA, Stewart PL. CryoEM and image sorting for flexible protein/DNA complexes. (2014) J. Struct. Biol., 187:76-83.

4. Meta-analysis of genome-wide association studies identifies novel loci that influence cupping and the glaucomatous process. Springelkamp H, Höhn R, Mishra A, Hysi PG, Khor CC, Loomis SJ, Bailey JN, Gibson J, Thorleifsson G, Janssen SF, Luo X, Ramdas WD, Vithana E, Nongpiur ME, Montgomery GW, Xu L, Mountain JE, Gharahkhani P, Lu Y, Amin N, Karssen LC, Sim KS, van Leeuwen EM, Iglesias AI, Verhoeven VJ, Hauser MA, Loon SC, Despriet DD, Nag A, Venturini C, Sanfilippo PG, Schillert A, Kang JH, Landers J, Jonasson F, Cree AJ, van Koolwijk LM, Rivadeneira F, Souzeau E, Jonsson V, Menon G; Blue Mountains Eye Study—GWAS group, Weinreb RN, de Jong PT, Oostra BA, Uitterlinden AG, Hofman A, Ennis S, Thorsteinsdottir U, Burdon KP; NEIGHBORHOOD Consortium; Wellcome Trust Case Control Consortium 2 (WTCCC2), Spector TD, Mirshahi A, Saw SM, Vingerling JR, Teo YY, Haines JL, Wolfs RC, Lemij HG, Tai ES, Jansonius NM, Jonas JB, Cheng CY, Aung T, Viswanathan AC, Klaver CC, Craig JE, Macgregor S, Mackey DA, Lotery AJ, Stefansson K, Bergen AA, Young TL, Wiggs JL, Pfeiffer N, Wong TY, Pasquale LR, Hewitt AW, van Duijn CM, Hammond CJ. Nat Commun. 2014 Sep 22;5:4883. doi: 10.1038/ncomms5883. PMID: 25241763 Free PMC Article

5. Genome-wide association studies: getting to pathogenesis, the role of inflammation/complement in age-related macular degeneration. Cooke Bailey JN, Pericak-Vance MA, Haines JL. Cold Spring Harb Perspect Med. 2014 Sep 11;4(12):a017186. doi: 10.1101/cshperspect.a017186. Review. PMID: 25213188Guan X, Vengoechea J, Zheng S, Sloan AE, Chen Y, Brat DJ, O'Neill BP, de Groot J, Yust-Katz S, Yung WK, Cohen ML, Aldape KD, Rosenfeld S, Verhaak RG, Barnholtz-Sloan JS. Molecular subtypes of glioblastoma are relevant to lower grade glioma. PLoS One. 2014 Mar 10;9(3):e91216. doi: 10.1371/journal.pone.0091216. eCollection 2014. PubMed PMID: 24614622; PubMed Central PMCID: PMC3948818.

6. Effects of multiple genetic loci on age at onset in late-onset Alzheimer disease: a genome-wide association study. Naj AC, Jun G, Reitz C, Kunkle BW, Perry W, Park YS, Beecham GW, Rajbhandary RA, Hamilton-Nelson KL, Wang LS, Kauwe JS, Huentelman MJ, Myers AJ, Bird TD, Boeve BF, Baldwin CT, Jarvik GP, Crane PK, Rogaeva E, Barmada MM, Demirci FY, Cruchaga C, Kramer PL, Ertekin-Taner N, Hardy J, Graff-Radford NR, Green RC, Larson EB, St George-Hyslop PH, Buxbaum JD, Evans DA, Schneider JA, Lunetta KL, Kamboh MI, Saykin AJ, Reiman EM, De Jager PL, Bennett DA, Morris JC, Montine TJ, Goate AM, Blacker D, Tsuang DW, Hakonarson H, Kukull WA, Foroud TM, Martin ER, Haines JL, Mayeux RP, Farrer LA, Schellenberg GD, Pericak-Vance MA; Alzheimer Disease Genetics Consortium, Albert MS, Albin RL, Apostolova LG, Arnold SE, Barber R, Barnes LL, Beach TG, Becker JT, Beekly D, Bigio EH, Bowen JD, Boxer A, Burke JR, Cairns NJ, Cantwell LB, Cao C, Carlson CS, Carney RM, Carrasquillo MM, Carroll SL, Chui HC, Clark DG, Corneveaux J, Cribbs DH, Crocco EA, DeCarli C, DeKosky ST, Dick M, Dickson DW, Duara R, Faber KM, Fallon KB, Farlow MR, Ferris S, Frosch MP, Galasko DR, Ganguli M, Gearing M, Geschwind DH, Ghetti B, Gilbert JR, Glass JD, Growdon JH, Hamilton RL, Harrell LE, Head E, Honig LS, Hulette CM, Hyman BT, Jicha GA, Jin LW, Karydas A, Kaye JA, Kim R, Koo EH, Kowall NW, Kramer JH, LaFerla FM, Lah JJ, Leverenz JB, Levey AI, Li G, Lieberman AP, Lin CF, Lopez OL, Lyketsos CG, Mack WJ, Martiniuk F, Mash DC, Masliah E, McCormick WC, McCurry SM, McDavid AN, McKee AC, Mesulam M, Miller BL, Miller CA, Miller JW, Murrell JR, Olichney JM, Pankratz VS, Parisi JE, Paulson HL, Peskind E, Petersen RC, Pierce A, Poon WW, Potter H, Quinn JF, Raj A, Raskind M, Reisberg B, Ringman JM, Roberson ED, Rosen HJ, Rosenberg RN, Sano M, Schneider LS, Seeley WW, Smith AG, Sonnen JA, Spina S, Stern RA, Tanzi RE, Thornton-Wells TA, Trojanowski JQ, Troncoso JC, Valladares O, Van Deerlin VM, Van Eldik LJ, Vardarajan BN, Vinters HV, Vonsattel JP, Weintraub S, Welsh-Bohmer KA, Williamson J, Wishnek S, Woltjer RL, Wright CB, Younkin SG, Yu CE, Yu L. JAMA Neurol. 2014 Nov;71(11):1394-404. doi: 10.1001/jamaneurol.2014.1491. Erratum in: JAMA Neurol. 2014 Nov;71(11):1457. PMID: 25199842 Free PMC Article

7. Genome-wide analysis of multi-ancestry cohorts identifies new loci influencing intraocular pressure and susceptibility to glaucoma. Hysi PG, Cheng CY, Springelkamp H, Macgregor S, Bailey JN, Wojciechowski R, Vitart V, Nag A, Hewitt AW, Höhn R, Venturini C, Mirshahi A, Ramdas WD, Thorleifsson G, Vithana E, Khor CC, Stefansson AB, Liao J, Haines JL, Amin N, Wang YX, Wild PS, Ozel AB, Li JZ, Fleck BW, Zeller T, Staffieri SE, Teo YY, Cuellar-Partida G, Luo X, Allingham RR, Richards JE, Senft A, Karssen LC, Zheng Y, Bellenguez C, Xu L, Iglesias AI, Wilson JF, Kang JH, van Leeuwen EM, Jonsson V, Thorsteinsdottir U, Despriet DD, Ennis S, Moroi SE, Martin NG, Jansonius NM, Yazar S, Tai ES, Amouyel P, Kirwan J, van Koolwijk LM, Hauser MA, Jonasson F, Leo P, Loomis SJ, Fogarty R, Rivadeneira F, Kearns L, Lackner KJ, de Jong PT, Simpson CL, Pennell CE, Oostra BA, Uitterlinden AG, Saw SM, Lotery AJ, Bailey-Wilson JE, Hofman A, Vingerling JR, Maubaret C, Pfeiffer N, Wolfs RC, Lemij HG, Young TL, Pasquale LR, Delcourt C, Spector TD, Klaver CC, Small KS, Burdon KP, Stefansson K, Wong TY; BMES GWAS Group; NEIGHBORHOOD Consortium; Wellcome Trust Case Control Consortium 2, Viswanathan A, Mackey DA, Craig JE, Wiggs JL, van Duijn CM, Hammond CJ, Aung T. Nat Genet. 2014 Oct;46(10):1126-30. doi: 10.1038/ng.3087. Epub 2014 Aug 31. PMID: 25173106 Free PMC Article

8. Common variants near ABCA1, AFAP1 and GMDS confer risk of primary open-angle glaucoma. Gharahkhani P, Burdon KP, Fogarty R, Sharma S, Hewitt AW, Martin S, Law MH, Cremin K, ailey JN, Loomis SJ, Pasquale LR, Haines JL, Hauser MA, Viswanathan AC, McGuffin P, Topouzis F, Foster PJ, Graham SL, Casson RJ, Chehade M, White AJ, Zhou T, Souzeau E, Landers J, Fitzgerald JT, Klebe S, Ruddle JB, Goldberg I, Healey PR; Wellcome Trust Case Control Consortium 2; NEIGHBORHOOD Consortium, Mills RA, Wang JJ, Montgomery GW, Martin NG, Radford-Smith G, Whiteman DC, Brown MA, Wiggs JL, Mackey DA, Mitchell P, MacGregor S, Craig JE. Nat Genet. 2014 Oct;46(10):1120-5. doi: 10.1038/ng.3079. Epub 2014 Aug 31. PMID: 25173105 Free PMC Article

9. Hypothesis-independent pathway analysis implicates GABA and acetyl-CoA metabolism in primary open-angle glaucoma and normal-pressure glaucoma. Bailey JN, Yaspan BL, Pasquale LR, Hauser MA, Kang JH, Loomis SJ, Brilliant M, Budenz DL, Christen WG, Fingert J, Gaasterland D, Gaasterland T, Kraft P, Lee RK, Lichter PR, Liu Y, McCarty CA, Moroi SE, Richards JE, Realini T, Schuman JS, Scott WK, Singh K, Sit AJ, Vollrath D, Wollstein G, Zack DJ, Zhang K, Pericak-Vance MA, Allingham RR, Weinreb RN, Haines JL, Wiggs JL. Hum Genet. 2014 Oct;133(10):1319-30. doi: 10.1007/s00439-014-1468-7. Epub 2014 Jul 19. PMID: 25037249 Free PMC Article

10. Rare complement factor H variant associated with age-related macular degeneration in the Amish. Hoffman JD, Cooke Bailey JN, D'Aoust L, Cade W, Ayala-Haedo J, Fuzzell D, Laux R, Adams LD, Reinhart-Mercer L, Caywood L, Whitehead-Gay P, Agarwal A, Wang G, Scott WK, Pericak-Vance MA, Haines JL. Invest Ophthalmol Vis Sci. 2014 Jun 6;55(7):4455-60. doi: 10.1167/iovs.13-13684. PMID: 24906858 Free PMC Article

11. Dazard J-E., Choe M., LeBlanc M., Rao J.S. Cross-Validation of Survival Bump Hunting using Recursive Peeling Methods. In JSM Proceedings, Survival Methods for Risk Estimation/Prediction Section. Boston, MA, USA: American Statistical Association-IMS (2014) p. 3366-3380. PMCID: PMC4795911.

12. Wildey G, Chen Y, Lent I, Stetson L, Pink J, Barnholtz-Sloan JS, Dowlati A. Pharmacogenomic approach to identify drug sensitivity in small-cell lung cancer. PLoS One. 2014 Sep 8;9(9):e106784. doi: 10.1371/journal.pone.0106784. eCollection 2014. PubMed PMID: 25198282; PubMed Central PMCID: PMC4157793.

13. Lai RK, Chen Y, Guan X, Nousome D, Sharma C, Canoll P, Bruce J, Sloan AE, Cortes E, Vonsattel JP, Su T, Delgado-Cruzata L, Gurvich I, Santella RM, Ostrom Q, Lee A, Gregersen P, Barnholtz-Sloan J. Genome-wide methylation analyses in glioblastoma multiforme. PLoS One. 2014 Feb 21;9(2):e89376. doi: 10.1371/journal.pone.0089376. eCollection 2014. PubMed PMID: 24586730; PubMed Central PMCID: PMC3931727.

14. Churna Bhandari and Walter R. L. Lambrecht, Phonons and related spectra in bulk and monolayer V2O5, Phys. Rev. B 89, 045109

15. Lattice dynamics in perovskite halides CsSnX3 with X=I, Br, Cl, Ling-yi Huang and Walter R. L. Lambrecht, Phys. Rev. B 90, 195201 (2014) - Published 5 November 2014

16. J. Casey Johnson, LaShanda T. J. Korley, & Mesfin Tsige, Coarse-Grained Modeling of Peptidic/PDMS Triblock Morphology, J. Phys. Chem. B, 2014, 118 (47), pp 13718–13728, DOI: 10.1021/jp506553v [Link]

17. Gajurel, S. and Bielefeld, R., A Heuristic Approach to Fast NOVCA (Near Optimal Vertex Cover Algorithm), JCTA 5 (2014) 83-90. [Link]

18. Doi E, Lewicki MS (2014) A Simple Model of Optimal Population Coding for Sensory Systems. PLoS Comput Biol 10(8): e1003761. doi:10.1371/journal.pcbi.1003761 [Link]  

19. Huynh KW, Cohen MR, Chakrapani S, Holdaway HA, Stewart PL, Moiseenkova-Bell VY. (2014) Structural insight into the assembly of TRPV channels. Structure, 22:260-268.

20. Gulati N, Smith JG, Nemerow GR, Stewart PL. (2014) CryoEM based models for Adenovirus neutralization by human alpha-defensin 5. Microscopy and Microanalysis.

21. Irons E, Di Paolo N, Shayakhmetov D, Stewart P. (2014) Blood coagulation factors in disseminated adenovirus infection: How structural differences define biological tropism and immune response. Annual Clinical Virology Symposium, Daytona Beach, FL.

22. Gulati NM, Villarreal SA, Gulati S, Palczewski K, Stewart PL. (2014). Imaging of Isolated Disk Architecture from Rod Outer Segments of the Retina by Cryo-Electron Tomography. Biomedical Graduate Student Symposium.

23. Gulati NM, Villarreal SA, Gulati S, Palczewski K, Stewart PL. (2014). Imaging of Isolated Disk Architecture from Rod Outer Segments of the Retina by Cryo-Electron Tomography. Research ShowCase.

24. Gulati NM, Villarreal SA, Gulati S, Palczewski K, Stewart PL. (2014). Imaging of Isolated Disk Architecture from Rod Outer Segments of the Retina by Cryo-Electron Tomography. Cryo-EM 3D Image Analysis Symposium, Lake Tahoe, CA.

25. Gulati NM, Villarreal SA, Gulati S, Palczewski K, Stewart PL. (2014). Imaging of Isolated Disk Architecture from Rod Outer Segments of the Retina by Cryo-Electron Tomography. Microscopy Society of Northeastern Ohio Meeting, University Heights, OH.

26. J. N. Wisotsky, X. Han, and Y. Zhang "Uncovering the Role of lncRNA in response to DNA Damage.", Poster Presentation at Genetics and Genome Sciences Retreat and Biological Graduate Student Symposium, Case Western, 2014

27. Liqun Zhang, Matthias Buck, “Structure and dynamics of the plexin-B1 transmembrane receptor bound to GTPases “, Biophysical Society, San Francisco, CA, 2014 + Travel awards to attend the Biophysics Society meeting, sponsored by the Education, Minority Affairs, and Professional Opportunities for Women Committees. San Francisco, California, February, 15-19, 2014.

28. A. B. Anderson and H. A. Asiri, "Reversible Potentials for Steps in Methanol and Formic Acid Oxidation to CO2; Adsorption Energies of Intermediates on the Ideal Electrocatalyst for Methanol Oxidation and CO2 Reduction: Phys. Chem. Chem. Phys. 16 (22), 10587-10599 (2014)

29. Mahdi Orooji ; Rachel Sparks ; B. Nicolas Bloch ; Ernest Feleppa ; Dean Barratt ; Anant Madabhushi; "Spatially aware expectation maximization (SpAEM): application to prostate TRUS segmentation". Proc. SPIE 9034, Medical Imaging 2014: Image Processing, 90343Y (March 21, 2014); doi:10.1117/12.2043981.

30. Miao, Jiayuan, Gavin R. Brown, and Philip L. Taylor. "Theoretically guided design of efficient polymer dielectrics." Journal of Applied Physics 115.9 (2014): 094104.

31. M. Zhao, A. B. Anderson, R. Akolkar, and R. Jinnouchi,"Using Theory to Understand the Autocatalysis of Cu Electroless Deposition ", Poster Presentation at Research ShowCase 2014.

32. C Fietkiewicz, CG Wilson, “Variability in respiratory rhythm generation: in vitro and in silico models”, Nonlinear dynamics and stochastic methods: from neuroscience to other biological applications, Pittsburgh, PA, March 2014.

33. Yang, Y.; Campana, C. F.; Cheng, G.; Peng, X.; Kenney, M. E. “The structure and properties of a sheathed, low reactivity silicon phthalocyanine and the potential for still more inert phthalocyanines” J. Porphyrins Phthalocyanines 2014 DOI: 10.1142/S1088424614500060.

34. Grandhi S and Laframboise T. "High-throughput Analysis of the Human Mitochondrial Regulome in Cancer". First Place Poster Presentation at Research ShowCASE 2014

35. A Knappenberger, MF Ahmad, C Dealwis, ME Harris. “Translational investigation of ribonucleotide reductase.” 1st Place Winner, Poster Presentation at Research ShowCase 2014. [Link to Poster]

36. Corradin O, Saiakhova A, Akhtar-Zaidi B, Myeroff L, Willis J, Cowper-Sal lari R, Lupien M, Markowitz S, Scacheri PC. 2014. Combinatorial effects of multiple enhancer variants in linkage disequilibrium dictate levels of gene expression to confer susceptibility to common traits.Genome research 24(1): 1-13

37.  Senevirathna, W.; Daddario, C. M.; Sauve, G. “Density functional theory study predicts low reorganization energies for azadipyrromethene-based metal complexes”, J. Phys. Chem. Lett., 2014, 5, 935-941.

38. Fernando, R.; Mao, Z.; Muller, E.; Ruan, F.; Sauvé, G. “Tuning the organic solar cell performance of acceptor 2,6-dialkylaminonaphthalene diimides by varying a linker between the imide nitrogen and a thiophene group”, J. Phys. Chem. C., 2014, 118, 3433-3442.

39. Etheridge, F. S.; Fernando, R.; Sauve, G. "Tuning Optoelectronic Properties of core-Substituted Naphthalene Diimide Derivatives by Conversion of Carbonyl to Thiocarbonyl" 3rd Annual Symposium on Advances in Organic Photovoltaics, Kent State University, Kent, OH; April 16th, 2014; Submitted Poster.

40. Daddario, C.; Han, Q.; Mao, Z.; Sauve, G.  "Azadipyrromethene-based Dyes for Organic Solar Cell Applications: Effect of Ethynylthiophene Substitution at the Distal or Proximal Phenyls."  ACS Dallas Conference, Division of Inorganic Chemistry, Molecular Inorganic Chemistry at the Frontiers of Energy Research, Dallas, Texas, March 16-20, 2014; Submitted poster.

41. Wei Huang, Krishna M Ravikumar, and S. Yang, A Newfound Cancer-activating Mutation Reshapes the Energy Landscape of Estrogen-binding Domain J. Chem. Theory Comput. ASAP article, doi:10.1021/ct500313e (2014).

42. S. Yang, Methods for SAXS-based Structure Determination of Biomolecular Complexes Advanced Materials (impact factor: 14.8), published nline, doi: 10.1002/adma.201304475 (2014). 

43. Sparks, R, Bloch, N, Moses, D, Ponsky, L, Barratt, D, Feleppa, E, Madabhushi, A, “Multi-Attribute Probabilistic Prostate Elastic Registration (MAPPER): Application to Fusion of Ultrasound and Magnetic Resonance Imaging”, Medical Physics,  Mar;42(3):1153-63. doi: 10.1118/1.4905104. (PMID:25735270) 

44. Tiwari, P, Shabbar, D, Madabhushi, A, “Identifying MRI Markers Associated with Early Response following Laser Ablation for Neurological Disorders: Preliminary Findings”, PLoS One. 2014 Dec 11;9(12):e114293. doi: 10.1371/journal.pone.0114293. eCollection 2014. (PMID: 25503713). 

45. Ali, S, Veltri, R, Epstein, J, Christudas, C, Madabhushi, A, “Selective Invocation of Shape Priors for Deformable Segmentation and Morphologic Classification of Prostate Cancer Tissue Microarrays”, Comput Med Imaging Graph. 2014 Nov 12. pii: S0895-6111(14)00176-1. doi: 10.1016/j.compmedimag.2014.11.001. [Epub ahead of print] (PMID:25466771). 

46. Colen, R, Foster, I, Gatenby, R, Giger, M, Gillies, R, Gutman, D, Heller, M, Jain, R, Madabhushi, A, Madhavan, S, Napel, S, Rao, A, Saltz, J, Tatum, J, Verhaak, R, Whitman, G, “NCI Workshop Report: Clinical and Computational Requirements for Correlating Imaging Phenotypes with Genomics Signatures,” Translational Oncology, vol. 7[5], pp. 556-569, 2014 (PMID: 25389451). 

47. Litjens, G, Huisman, H, Elliot, R, Shih, N, Feldman, M, Viswanath, S, Futterer, J, Bomers, J, Madabhushi, A, “Quantitative identification of MRI features of prostate cancer response following laser ablation and radical prostatectomy”, Journal of Medical Imaging, vol. 1(3):035001. doi: 10.1117/1.JMI.1.3.035001, 2014 (PMID:26158070). 

48. Wang, H, Cruz, A, Basavanhally, A, Gilmore, H, Shih, N, Feldman, M, Tomaszewski, J, Gonzalez, F, Madabhushi, A, “Mitosis Detection in Breast Cancer Pathology Images by Combining Handcrafted and Convolutional Neural Network Features”, J. Med. Imag., 1(3):034003. doi: 10.1117/1.JMI.1.3.034003, 2014 (PMID:26158062) 

49. Lee, G, Singanamalli, A, Wang, H, Feldman, M, Master, SR, Shih, N, Spangle, E, Rebbeck, T, Tomaszewski, J, Madabhushi, A, “Supervised Multi-View Canonical Correlation Analysis (sMVCCA): Integrating histologic and proteomic features for predicting recurrent prostate cancer”, IEEE Transactions on Medical Imaging, IEEE Trans Med Imaging, 2014,  (PMID: 25203987). 

50. Ginsburg, S, Bloch, BN, Genega, E, Lenkinsky, R, Feleppa, E, Rofsky, N, Madabhushi, A, “A Novel PCA-VIP Scheme for Ranking MRI Protocols and Identifying Computer Extracted MRI Measurements Associated with Central Gland and Peripheral Zone Prostate Tumors”, Journal of Magnetic Resonance Imaging, 2014. doi: 10.1002/jmri.24676. (PMID: 24943647). 

51. Rusu, M, Bloch, BN, Jaffe, C, Genega, E, Lenkinsky, R, Feleppa, E, Rofsky, N, Madabhushi, A, “Prostatome: A combined anatomical and disease based MRI atlas of the prostate”, Medical Physics, vol. 41[7], pg. 072301, 2014 (PMID: 24989400). 

52. Lee, G, Sparks, R, Ali, S, Feldman, M, Master, S, Shih, N, Tomaszewski, J, Madabhushi, A, “Co-occurring Gland Tensors in Localized Subgraphs: Predicting Biochemical Recurrence in Intermediate-risk Prostate Cancer Patients”, PLOS ONE, vol. 9[5], e97954, 2014 (PMID: 24875018). 

53. Viswanath S, Sperling D, Lepor H, Futterer J, Madabhushi A “Identifying Quantitative In Vivo Multi-Parametric MRI Features For Treatment Related Changes after Laser Interstitial Thermal Therapy of Prostate Cancer” Neurocomputing, Special Issue on Image Guided Interventions, vol. 144, pp. 13-23, 2014 (PMID: 25346574). 

54. Wan, T, Madabhushi, A, Phinikaridou, A, Hamilton, J, Hua, N, Pham, T, Danagoulian, J, Buckler, A, “Spatio-temporal texture (SpTeT) for distinguishing vulnerable from stable atherosclerotic plaque on DCE-MRI in a rabbit model”, Medical Physics, vol. 41[4], pg. 042303, 2014 (PMID: 24694153). 

55. Veta, M, van Diest, PJ, Willems, SM, Wang, H, Madabhushi, A, Cruz-Roa, A, Gonzalez, F, Larsen, ABL, Vestergaard, JS, Dahl, AB, Cireșan, DC, Schmidhuber, J, Giusti, A, Gambardella, LM, Tek, FB, Walter, T, Wang, CW, Kondo, S, Matuszewski, BJ, Precioso, F, Snell, V, Kittler, J, de Campos, TE, Khan, AM, Rajpoot, NM, Arkoumani, E, Lacle, MM, Viergever, MA, Pluim, JPW, “Assessment of algorithms for mitosis detection in breast cancer histopathology images”, Medical Image Analysis, 2014 Nov 29. pii: S1361-8415(14)00180-7. doi: 10.1016/j.media.2014.11.010. [Epub ahead of print] (PMID:25547073)

56.  Mark Turner, “The Future of Computational Creativity.” UNAM (National Autonomous University of México). 31 October 2014.

57. Mark Turner, “Research in the Red Hen Lab.” UAM (Autonomous Metropolitan University at Cuajimalma, México). 30 October 2014. 

58. Mark Turner, “Computational Creativity and Blending.” UAM (Autonomous Metropolitan University at Cuajimalma, México). 28 October 2014.

59. Mark Turner, “Computational Creativity through Conceptual Integration.” PROSECCO European Contact Forum on Computational Creativity. El Escorial, Real Colegio Universitario Maria Cristina. 21-23 February 2014. 

60. Yang Hu, Yifan Xu, Timothy Peshek, Jiayang Sun, and Roger H French, “A Data Science Research on Real-world PV Modules Performance,” presented at the CWRU’s 2014 Research ShowCase, Case Western Reserve University, 18-Apr-2014.

61. Yang Hu, Yifan Xu, Timothy Peshek, Jiayang Sun, and Roger H. French, “Data Science Approach to Time Series Analysis of Real-World PV modules,” presented at the 2014 PV Module Reliability Workshop, NREL, Golden CO, 25-Feb-2014

62. Y. Xu, et al., “Invited:  Photovoltaic Lifetime and Degradation Science: a Data Science Approach,” presented at the 6th World Conference on Photovoltaic Energy Conversion, Kyoto Japan, 25-Nov-2014

63. Timothy J. Peshek, Shay Mathews, and Roger H. French, “Mirror Augmented Photovoltaics and Time Series Analytics of the I-V Curve Parameters,” presented at the SPIE Solar Energy + Technology, Denver, Colorado, 08-Jun-2014

64. Roger H. French, “Invited Colloquium: Photovoltaic Lifetime and Degradation Science: a Data Science Approach,” presented at the Photobiophysic Colloquium, Berlin, 15-Dec-2014.

65. Roger H. French, “Invited: Lifetime and Degradation Science: a Data Science Approach,” presented at the Saint Gobain: Aging and Durability Seminar, Northboro MA, 29-Apr-2014

66. Nicholas R. Wheeler et al., “Developing Statistically Informed Study Protocols,” presented at the Research ShowCase, Case Western Reserve, 18-Apr-2014

67. Mohammad Hossain, Timothy Peshek, Yifan Xu, Liang Ji, Alexis R. Abramson, and RH FRENCH, “Thermal performance of microinverters on dual-axis trackers,” presented at the SPIE Solar Energy + Technology, San Diego, CA, USA, 20-Aug-2014.

68. Mohammad Hossain and Timothy Peshek, “Study of Microinverter and Time-series Analysis,” CALCE, University of Maryland, Apr-2014

69. Mohammad A. Hossain et al., “Predictive Linear Regression Model for Microinverter Internal Temperature Presentation,” presented at the 40th IEEE Photovoltaic Specialists Conference, Denver, Colorado, 08-Jun-2014

70. M. A. Hossain, et al., “Lifetime and Degradation Science Approach towards Photovoltaic System Reliability,” presented at the 2014 IEEE Conference on Reliability Science for Advanced Materials and Devices (RSAMD), 07-Sep-2014

71. Justin S. Fada, Mohammad A. Hoassain, Timothy J. Peshek, and Roger  H. French, “Thermal Image Analytics of Micro-Inverters used for PV Systems, Degradation Analytics of Solar Cells via Electroluminescent Imaging,” presented at the Summer Undergraduate Research in Energy and Sustainability (SURES) Award Final Presentation, Dominon Resources, Cleveland, Ohio, Aug-2014

72. Justin Fada, “Degradation and Reliability Analysis of Active Devices; Quantitative Image Analytics,” presented at the Intersections, CWRU, Dec-2014

73. Diana Acosta, Yingfang Ma, N. F. Steinmetz, and Roger H. French, “Study of the Second Virial Coefficient of Cowpea Mosaic Virus Under Varying pH and Ionic Strength Using Composition-Gradient Multi-Angle Light Scattering,” presented at the Biomedical Engineering Society Annual Meeting, San Antonio, TX, 25-Oct-2014 

74. N. R. Wheeler et al., “Data Science Study Protocols for Investigating Lifetime and Degradation of PV Technology Systems,” in IEEE PVSC 40, Denver, Colorado, 2014

75. T.J. Peshek, S. Mathews, Yang Hu, and R.H. French, “Mirror augmented photovoltaics and time series analytics of the I-V curve parameters,” in Photovoltaic Specialist Conference (PVSC), 2014 IEEE 40th, 2014, pp. 2027–2031.

76. Selcuk Yasar, Rudolf Podgornik, and V. Adrian Parsegian, “Continuity of States in Cholesteric - Line Hexatic Transition in Univalent and Polyvalent Salt DNA Solutions,” in MRS Proceedings, 2014, vol. 1619

77. Mohammad A. Hossain et al., “Thermal performance of microinverters on dual-axis trackers,” in Proc. of SPIE, 2014, vol. 9179, p. 91790J–91790J–9.

78. Mohammad A Hossain et al., “Lifetime and Degradation Science Approach towards Photovoltaic System Reliability,” presented at the 2014 IEEE Conference on Reliability Science for Advanced Materials and Devices, Golden, CO, 2014

79. M.A. Hossain et al., “Predictive linear regression model for microinverter internal temperature,” in Photovoltaic Specialist Conference (PVSC), 2014 IEEE 40th, 2014, pp. 0992–0996

80. Jaime C. Hopkins, Daniel M. Dryden, Wai-Yim Ching, Roger H. French, V. Adrian Parsegian, and Rudolf Podgornik, “Dependence of the strength of van der Waals interactions on the details of the dielectric response variation,” in MRS Proceedings, 2014, vol. 1648

81. I.V. Kidd, L.S. Bruckman, M.P. Murray, and R.H. French, “Object dependent properties of mirrors for PV applications studied under accelerated weathering protocols,” in Photovoltaic Specialists Conference (PVSC), 2013 IEEE 39th, 2013, pp. 1554–1558.

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