Peer Reviewed Publications

  1. Bolouri H#, Farrar JE#, Triche TJ#, Ries RE#, Lim EL, et al, The molecular landscape of pediatric acute myeloid leukemia reveals recurrent structural alterations and age-specific mutational interactions, Nature Medicine, Published online:11 December 2017. PDF, link to online PDF
  2. Zhao LP, Carlsson A, Larsson HE, Forsander G, Ivarsson SA, Kockum I, Ludvigsson J, Marcus C, Persson M, Samuelsson U, Örtqvist E, Pyo CW10, Bolouri H, Zhao M, Nelson WC, Geraghty DE, Lernmark Å; Better Diabetes Diagnosis (BDD) Study Group. Building and validating a prediction model for paediatric type 1 diabetes risk using next generation targeted sequencing of class II HLA genes. Diabetes Metab Res Rev. 2017 Nov;33(8). doi: 10.1002/dmrr.2921.  PDF
  3. Amankulor NM, Kim Y, Arora S, Kargl J, Szulzewsky F, Hanke M, Margineantu DH, Rao A, Bolouri H, Delrow J, Hockenbery D, Houghton AM, and Holland EC, Mutant IDH1 regulates the tumor-associated immune system in gliomas, Genes & Development, 2017, (31):1–13 . PDF
  4. Cimino PJ, Zager M, McFerrin L, irsching H-G, Bolouri H, Hentschel B, Deimling A, Jones D, Reifenberger G, Weller M and Holland EC, Multidimensional scaling of diffuse gliomas: application to the 2016 World Health Organization classification system with prognostically relevant molecular subtype discovery, Acta Neuropathologica Communications, 2017, (5):39.  PDF
  5. Ramamurthy R, Hughes M, Morris V, Bolouri H, Gerbing RB, Wang YC, Loken MR, Raimondi SC, Hirsch BA, Gamis AS, Oehler VG, Alonzo TA, Meshinchi S., miR-155 expression and correlation with clinical outcome in pediatric AML: A report from Children's Oncology Group. Pediatric Blood Cancer. 2016 Dec;63(12):2096-2103.
  6. Bolouri H, Zhao LP, Holland EC, Big data visualization identifies the multidimensional molecular landscape of human gliomas, Proceedings of the National Academy of Sciences of the United States of America, 2016, PNAS Early Edition: doi:10.1073/pnas.1601591113. PDF
  7. Zhao LP, Bolouri H, Object-oriented regression for building predictive models with high dimensional omics data from translational studies, Journal of Biomedical Informatics 60 (2016) 431–445. PDF
  8. Zhao LP, Bolouri H, Zhao M, Geraghty DE, Lernmark A, and The Better Diabetes Diagnosis Study Group, An Object-Oriented Regression for Building Disease Predictive Models with Multiallelic HLA Genes, Genetic Epidemiology, 2016, 40(4):315–332. PDF
  9. Kumar A, Coleman I, Morrissey C, Zhang X, True LD, Gulati R, Etzioni R, Bolouri H, Montgomery B, White T, Lucas JM, Brown LG, Dumpit RF, DeSarkar N, Higano C, Yu EY, Coleman R, Schultz N, Fang M, Lange PH, Shendure J, Vessella RL, & Nelson PS. Substantial interindividual and limited intraindividual genomic diversity among tumors from men with metastatic prostate cancer. Nature Medicine 2016, 22(4):369-78. . PDF
  10. Toledo CM, Ding Y, Hoellerbauer P, Davis RJ, Basom R, Girard EJ, Lee E, Corrin P, Hart T, Bolouri H, Davison J, Zhang Q, Hardcastle J, Aronow BJ, Plaisier CL, Baliga NS, Moffat J, Lin Q, Li XN, Nam DH, Lee J, Pollard SM, Zhu J, Delrow JJ, Clurman BE, Olson JM, Paddison PJ. Genome-wide CRISPR-Cas9 Screens Reveal Loss of Redundancy between PKMYT1 and WEE1 in Glioblastoma Stem-like Cells. Cell Rep. 2015 Dec 22;13(11):2425-39. PDF
  11. Nguyen LT, Tretiakova MS, Silvis MR, Lucas J, Klezovitch O, Coleman I, Bolouri H, Kutyavin VI, Morrissey C, True LD, Nelson PS, Vasioukhin V. 2015. ERG activates the YAP1 transcriptional program and induces the development of age-related prostate tumors. Cancer Cell, 27(6), 797-808. PDF
  12. Lindberg Jiang, Xie, Bolouri, Kastemar,  Olofsson, Holland, Uhrbom, Oncogenic Signaling Is Dominant to Cell of Origin and Dictates Astrocytic or Oligodendroglial Tumor Development from Oligodendrocyte Precursor Cells, The Journal of Neuroscience, October 2014, 34(44): 14644-14651. Abstract
  13. Bolouri H, Modeling genomic regulatory networks with big data, Trends in Genetics, March 2014, 10.1016/j.tig.2014.02.005 PDF
  14. Bolouri H, Network dynamics in the tumor microenvironment, Seminars in Cancer Biology, March 2014,
    10.1016/j.semcancer.2014.02.007 PDF
  15. Bolouri H & Ruzzo WL, Integration of 198 ChIP-seq Datasets Reveals Human cis-Regulatory RegionsJournal of Computational Biology. September 2012, 19(9):989-997. (Highlighted Article). PDF
  16. Bolouri H, Dulepet R and Angerman M, Menu-driven cloud computing & resource-sharing for R and Bioconductor,Bioinformatics, 2011, doi: 10.1093/bioinformatics/btr364.  PDF
  17. Bolouri H and Davidson EH, The gene regulatory network basis of the "community effect," and analysis of a sea urchin embryo example, Developmental Biology, 2010, (340):170-178.  PDF
  18. Georgescu C & Bolouri H, The hidden impact of inter-individual genomic variations on cellular function, Systems Biology Pioneer Award (Invited Paper), Proc. of SPIE Vol. 7703  77030X-1, DOI:10.1117/12.853761.  PDF
  19. Longabaugh WJR, Davidson EH, and Bolouri H, Visualization, documentation, and communication of large scale gene regulatory networks, Biochimica et Biophysica Acta - Gene Regulatory Mechanisms, 2009, 1789(4):363-374
  20. T-M Chan, WJR Longabaugh, H Bolouri, H-L Chen, W-F Tseng, C-H Chao, T-H Jang, Y-I Lin, H-I Hsu, C-B Huang, and C-H Yuh, Developmental gene regulatory networks (GRNs) of the zebrafish embryo, Biochimica et Biophysica Acta: Gene Regulatory Mechanisms, 2009, 1789(4):279-298.
  21. Georgescu C, Longabaugh WJR, Scripture-Adams DD, David-Fung ES, Yui MA, Zarnegar MA, Bolouri H and Rothenberg EV, A gene regulatory network armature for T lymphocyte specification, Proceedings of the  National Academy of Sciences of USA, 2008, 105(51): 20100–20105.
  22. Korb M, Rust AG, Thorsson V, Battail C, Li B, Hwang D, Kennedy K, Roach JC, Rosenberger CM, Gilchrist M, Zak D, Johnson C, Marzolf B, Aderem A, Shmulevich I, Bolouri H, The Innate Immune Database (IIDB), BMC Immunology, 2008, 9:7. (2008 BMC Immunology most accessed article, 3542 downloads)
  23. Bolouri H, Computational Challenges of Personal Genomics, Current Genomics, 2008, 9(2), 80-87.
  24. Bolouri H, Embryonic pattern formation without morphogens, BioEssays, 2008, 30(5):412-417.
  25. Bolouri H, Inherent gene expression variabilities and the need for personalized drug dosage, Letters in Drug Design and Development, 2008, 5(3):193-208.
  26. Longabaugh WJR, and Bolouri H, Understanding the dynamic behaviour of genetic regulatory networks by functional decomposition, Current Genomics, Sept 2006, 7(6):333-341.
  27. Ramsey S, Orrell D, Smith JJ, Marelli M, Petersen TW, de Atauri P, Bolouri H, Aitchison JD,  Dual feedback loops in GAL regulon suppress cellular heterogeneity in yeast, Nature Genetics  Sept 1st 2006, 38:1082-1087.
  28. Gilchrist M, Thorsson V, Li B, Rust AG, Korb M, Kennedy K, Hai T, Bolouri H and Aderem A, Systems Biology Approaches Identify ATF3 as a Negative Regulator of Innate Immunity, Nature, 2006 May 11;441(7090):173-178.
  29. Orrell D, Ramsey S, Marelli M, Smith JJ, Petersen TW, de Atauri P, Aitchison JD,  Bolouri H, Feedback control of stochastic noise in the yeast galactose utilization pathway, Physica D 217 (2006) 64–76.
  30. Ramsey S, Ozinsky A, Clark A, Smith K, de Atauri P, Thorsson V, Orrell D, Bolouri H, Transcriptional noise and cellular heterogeneity in mammalian macrophages, Phil. Trans. Royal Soc, Mar 29 2006; 361(1467):495-506.
  31. Smith JJ, Sydorskyy Y, Marelli M, Hwang D, Bolouri H, Rachubinski RA, and Aitchison JD, Expression and functional profiling reveal distinct gene classes involved in fatty acid metabolism, Molecular Systems Biology, MSB4100051, 2006.
  32. Hwang D, Smith JJ, Leslie DM, Weston AD, Rust AG, Ramsey S, de Atauri P, Bolouri H, Aitchison JD, Hood L, A data integration methodology for Systems Biology: experimental verification, Proceedings of the National Academy of Sciences, vol.102, no.48, Nov 29 2005, pp.17302-17307.
  33. Hwang D, Rust AG, Ramsey S, Smith JJ, Leslie DM, Weston AD, de Atauri P, Aitchison JD, Hood L, Bolouri H, A data integration methodology for Systems Biology, Proceedings of the National Academy of Sciences, vol.102, no.48, Nov 29 2005, pp.17296-17301.
  34. Orrell D, Ramsey S, de Atauri P, Bolouri H, A method to estimate stochastic noise in large genetic regulatory networks. Bioinformatics,  Vol. 21, 2005, pp. 208-217
  35. Longabaugh, WJR, Davidson, EH, and Bolouri, H, Computational representation of developmental genetic regulatory networks. Developmental Biology, vol. 283, 2005, pp. 1-16.
  36. Ramsey S, Orrell D, Bolouri H, Dizzy: stochastic simulation of large-scale genetic regulatory networks. J.Bioinformatics & Computational Biology, Vol. 3, No. 2, pp. 1-21, 2005
  37. de Atauri P, Orrell D, Ramsey S, Bolouri H, Is the regulation of galactose 1-phosphate tuned against gene expression noise? Biochemical Journal, Vol. 387, pp. 77-84, 2005
  38. Smith KD and Bolouri H, Dissecting innate immune responses with the tools of systems biology. Current Opinion in Immunology, Vol.17, Issue 1, 2005 pp.49-54.
  39. de Atauri P, Orrell D, Ramsey S, Bolouri H, Evolution of “design” principles in biochemical networks. IEE Journal of Systems Biology, Vol. 1, June 2004, pp.28-40.
  40. Orrell D & Bolouri H, Control of internal and external noise in genetic regulatory networks. Journal of Theoretical Biology, Vol. 230, Issue 3, 2004, pp.301-312.
  41. Bolouri H & Davidson EH, Transcriptional regulatory cascades in development: initial rates, not steady state, determine network kinetics. PNAS, Vol. 100, Issue 16, 5 August 2003, pp.9371-9376.
  42. Hucka M, Finney A,  Sauro HM, Bolouri H, Doyle JC, Kitano H, Arkin AP, Bornstein BJ, Bray D, Cornish-Bowden A, Cuellar AA, Dronov S, Gilles ED, Ginkel M, Gor V, Goryanin II, Hedley WJ, Hodgman TC, Hofmeyr JH, Hunter PJ, Juty NS, Kasberger JL, Kremling A, Kummer U, Le Novere N, Loew LM, Lucio D, Mendes P, Minch E, Mjolsness ED, Nakayama Y, Nelson MR, Nielsen PF, Sakurada T, Schaff JC, Shapiro BE, Shimizu TS, Spense HD, Stelling J, Takahashi K, Tomita M, Wagner J, Wang J, The systems biology markup language (SBML): a medium for representation and exchange of biochemical network models. Bioinformatics, Vol.19, 1 March 2003, pp.524-531. 500 ISI citations.
  43. Bolouri H & Davidson EH, Modeling transcriptional regulatory networks. BioEssays, Vol. 24, Issue 12, December 2002, pp.1118-1129.
  44. Davidson EH, Rast JP, Oliveri P, Cameron RA, Ransick A, Yuh CH, Calestani C, Amore G, Hinman V, Minokawa T, Arenas-Mena C, Otim O, Brown CT, Livi C, Lee P, Revilla R, Clarke PJC, Rust AG, Schilstra M, Pan J, McClay DR, Arnone MI, Rowan L, Hood LE, Bolouri H, A genomic regulatory network for development. Science, Vol. 295, 1 March 2002, pp.1669-1678.  545 ISI citations.
  45. Bolouri H & Davidson EH, Modeling DNA sequence-based cis-regulatory gene networks. Developmental Biology, Vol. 246, June 2002, pp.2-13.
  46. Brown CT, Rust AG, Schilstra MJ, Pan Z, de Buysscher T, Clarke PJC, Griffin G,  Davidson EH, Bolouri H, New computational approaches for computational-experimental analysis of cis-regulatory networks. Developmental Biology, Vol. 246, June 2002, pp.86-102.
  47. Davidson EH, Rast JP, Oliveri P, Cameron RA, Ransick A, Yuh CH, Calestani C, Amore G, Hinman V, Minokawa T, Arenas-Mena C, Otim O, C. Brown CT, Livi C, Lee P, Revilla R, Clarke PJC, Rust AG, Schilstra M, Pan J, McClay DR, Arnone MI, Rowan L, Hood LE Bolouri H, A Provisional regulatory gene network for specification of endomesoderm in the sea urchin embryo. Developmental Biology, Vol. 246, June 2002, pp.162-190.
  48. See also report in Science Vol. 293, 3 August 2001, pp.788-789.
  49. Morohashi M, Winn AE, Borisuk MT, Bolouri H, Doyle JC, Kitano H, Robustness as a measure of plausibility in models of biochemical networks. Journal of Theoretical Biology
  50. Schilstra MJ, Rust AG, Adams RG, Bolouri H, A finite state automaton model for multi-neuron simulations.Neurocomputing, Vol. 44-46, June 2002, pp.1141-1148.
  51. Hucka M, Finney A, Sauro H, Bolouri H, Doyle J, Kitano H, The ERATO Systems Biology Workbench: enabling interaction and exchange between software tools for computational Biology. Proc. Pacific Symposium on Biocomputing, 2002, pp.450-461.
  52. Hucka M, Finney A, Sauro H, Bolouri H, Doyle J, Kitano H, The ERATO systems biology workbench: architectural evolution. Proc. Int. Conf. on Systems Biology, 2001, pp.352-361.
  53. Yuh CH, Bolouri H, Davidson EH, Cis-regulatory logic in the Endo16 gene: switching from a specification to a differentiation mode of control. DevelopmentVol.126, 2001, pp.617-629.
  54. Finney A, Hucka M, Sauro H, Bolouri H, Doyle J, Kitano H, An overview of the ERATO systems biology workbench project. Proc. 2nd Workshop on Computation of Biochemical Pathways, European Media Labs, Heidelberg, Gauges R, van Gend C, Kummer U, (Eds.) 2001, pp.115-122.
  55. Hucka M, Finney A, Sauro H, Bolouri H, Doyle J, Kitano H, The ERATO systems biology workbench: an integrated environment for multiscale and multitheoretic simulations in systems biology. Chapter 6, Foundations of Systems Biology, by Kitano H, MIT Press, 2001.
  56. Morohashi M, Hucka, M, Sauro HM,  Finney AM, Bolouri H, Doyle JC, and Kitano H, The systems biology workbench, in Japanese. Chapter 1 Development of Systems Biology, by Kitano H, Sprinter-Verlag, Tokyo, 2001, pp.25-36.
  57. Sabisch T, Ferguson A, Bolouri H, Identification of complex shapes using a self-organising neural system. IEEE Transactions on Neural Networks, Vol. 11, Issue 4, 2001, pp.921-934.
  58. Rust AG, Adams R, Bolouri H, Evolutionary neural topiary: growing and sculpting artificial neurons to order. Proc. of 7th Int. Conf. on the Simulation and Synthesis of Living Systems, MIT Press, 2000, pp.146-150.
  59. Pan Z, Rust AG, Bolouri H, Image redundancy reduction for neural network classification using discrete cosine transforms. Proc. IEEE-INNS-ENNS, International Joint Conference on Neural Networks (IJCNN'2000), Como, Italy, Vol. III, pp.149-154.
  60. Bolouri H, Mechanisms underlying the evolution of robust nonlinear control in biology. Proc. IEEE International Symposium on Intelligent Control/Intelligent Systems and Semiotics, IEEE, 1999, pp.441-446.
  61. Pan Z, Sabisch T, Adams R, Bolouri H, Staged training of neocognitron by evolutionary algorithms. Proc. IEEE Congress on Evolutionary Computation (CEC'99), Washington D.C, 6-9 July 1999, pp.1965-1972.
  62. Yuh CH, Bolouri H, Davidson EH, Genomic cis-regulatory logic: experimental and computational analysis of a sea urchin gene. Science, Vol. 279, Issue 5358, 20 March 1998, pp.1896-1902.  359 ISI citations.
  63. Bolouri H, Adams R, George S, Rust AG, Molecular self-organisation in a developmental model for the evolution of large-scale artificial neural network. Proc. Int. Conf. Neural Information Processing and Intelligent Information Systems (ICONIP'98), Japan, October 1998.
  64. Rust AG, Adams R, George S, Bolouri H, Developmental evolution of an edge detecting retina. Proc. 8th Int. Conf. on Artificial Neural Networks (ICANN'98), Sweden, September 1998.
  65. Sabisch T, Ferguson A, Bolouri H, Automatic registration of complex images using a self organizing neural system. Proc. IEEE International Joint Conference on Neural Networks (IJCNN'98), Anchorage, Alaska, 4-9 May 1998, pp.165-170.
  66. Ferguson A, Dixon LCW, Bolouri H, Learning algorithms for RAM-based neural networks. In Mathematics of Neural Networks: Models, Algorithms and Applications, Ellacott SW, Mason JC, Anderson IJ, (Eds.) Kluwer Academic Publishers,1997, pp.181-185.
  67. Peacock C, Bolouri H, Habiger C, Multichip module manufacture using passive substrate fault tolerance. IEEE Trans. CPMT, Vol.20, Issue 3, 1997, pp.320-326.
  68. Sabisch T, Ferguson A, Bolouri H, Rotation, translation and scaling tolerant recognition of complex shapes using a hierarchical self-organising neural network. Progress in connectionist-based information systems. Proc. of the 1997 International Conference on Neural Information Processing (ICONIP'97), Kasabov, Kozma, Ko, O'shea, Coghill, Gedeon, (Eds.) Springer, ISBN 981-3083-64-6, 24-28 November 1997, pp.1174-1178.
  69. Ferguson A & Bolouri H, Improving reinforcement learning in stochastic RAM-based neural networks, Neural Processing Letters, Kluwer Academic Publishers, 1997, pp.11-15.
  70. Rust AG, Adams R, George S, Bolouri H, Activity-based pruning in developmental artificial neural networks. Proc. 4th European Conf. on Artificial Life (ECAL97), Brighton, UK, Husbands P, Harvey I, (Eds.) MIT Press, July 1997, pp. 224-233.
  71. Sabisch T, Ferguson A, Bolouri H, Automatic landmark extraction using self-organising maps. Proc. IEE/BMVA Int. Conf. on Medical Image Understanding and Analysis, University of Oxford, UK, Taylor CJ, Noble JA, Brady JM, (Eds.) 7-8 July 1997, pp.157-160.
  72. Rust AG, Adams R, George S, Bolouri H, Designing development rules for artificial evolution. Proc. 4th Int. Conf. onArtificial Neural Networks and Genetic Algorithms (ICANNGA97), University of East Anglia, UK, Smith GD, Steele NC, Albrecht RF, (Eds.), Springer Verlag, April 1997, pp.508-511. 
  73. Peacock C, Bolouri H, Habiger C, Multichip module yield enhancement using passive ubstrate fault tolerance. Proc. IEEE Int. Conf. on Innovative Systems in Silicon, IEEE Computer Society, 1996, pp.198-209.
  74. Ferguson A, Sabisch T, Kaye PH, Dixon LCW, Bolouri H, High-speed airborne particle monitoring using artificial neural networks. Advances in Neural Information Processing Systems 8 (NIPS8), Touretzky DS, Mozer MC, Hasselmo ME, (Eds.) MIT Press, 1996, pp.980-986.
  75. Compton A, Bolouri H, Nathan A, Arrythmia recognition strategies and hardware decisions for the implantable cardioverter-defibrillator - a review. Med. Eng. Phys., Vol.17, Issue 2, 1995, pp.96-103.
  76. Morgan P, Ferguson A, Dixon LCW, Bolouri H, Hardware implementation of a real-valued sigma-pi network. Proc.ENNS Int. Conf. on Artificial Neural Networks (ICANN'95), Vol. 2, 1995, pp.351-356.
  77. Hussaini MBA, Bolouri H, Lea RM, Defect and fault tolerant interconnection strategies for WASP devices. IEEE Trans. CPMT, Vol. 18, 1995, pp.406-415.
  78. Peacock C, Bolouri H, Lea RM, A Device life cycle analysis of the WSI associative string processor. IEEE Trans. CPMT, Vol. 18, 1995, pp.416-423.
  79. Hussaini M B A, Bolouri H, Lea RM, An evaluation of defect and fault tolerant signal routing strategies for WASP devices. Proc. IEEE Int. Conf. on Wafer Scale Integration, 1995, pp.277-287.
  80. Bolouri H, Morgan P & Peacock C, A RAM-based neural network architecture for wafer scale integration. Proc. IEEE Int. Conf. on Wafer Scale Integration, 1995, pp.82-90.
  81. Peacock C, Bolouri H, Lea RM, A life-cycle model for the WSI associative string processor. Proc. IEEE Int. Conf. on Wafer Scale Integration, 1995, pp.52-61.
  82. Bolouri H, Morgan P, Gurney K, Design, manufacture, and evaluation of a probabilistic RAM-based artificial neural network. IEE Electronics Letters, Vol.30, Issue 5, March 1994, pp.426-427. 
  83. Hui T, Morgan P, Bolouri H, Gurney K, VLSI implementation of a probabilistic RAM-based artificial neural network with on-board reward-penalty learning. VLSI for Neural Networks and Artificial Intelligence, Delgado-Frias JG, Moore WR, (Eds.) Plenum Press, 1994, pp.119-129.
  84. Morgan P, Ferguson A, Bolouri H, Cost-performance analysis of FPGA, VLSI, and WSI implementations of a RAM-based neural network. Proc. 4th IEEE Int. Conf. On Microelectronics for Neural Networks and Fuzzy Systems(MicroNeuro'94), 1994, pp.235-243.
  85. Peacock C, Bolouri H, Hedge S J, Wafer scale integration: the need for concurrent engineering. Proc. Int. Conf. onConcurrent Engineering and Electronic Design Automation (CEEDA'94), 1994, pp.195-200.
  86. Peacock C, Bolouri H, The effect of defect clustering on WASP device yields. Proc. IEEE Int. Conf. on Wafer Scale Integration, 1994, pp.79-91.
  87. Bolouri H, Hussaini MBA, Lea RM, Interface design optimisation for WASP devices. Proc. IEEE Int. Conf. on Wafer Scale Integration, 1993, pp.223-232.
  88. Sheridan N, Bolouri H, Lea RM, The application of yield modelling to the WASP parallel processing architecture. Proc. IEEE Int. Conf. on Wafer Scale Integration, 1993, pp.115-123.
  89. Hui T, Morgan P, Gurney K, Bolouri H, A cascadable 2048-neuron VLSI artificial neural network with on-board learning. Artificial Neural Networks II, Eds. Aleksander I & Taylor J, Elsevier Science Publishers, 1992, pp.647-651.
  90. Bolouri H, An accurate, virtually cost-free yield model for defect-tolerant large-area ICs. Proc. Int. Conf. onConcurrent Engineering and Electronic Design Automation (CEEDA'91), 1991, pp.396-403.
  91. Sheridan N, Bolouri H, Lea RM, Architectural design optimisation of a wafer-scale massively parallel processor. Proc. Int. Conf. on Concurrent Engineering and Electronic Design Automation (CEEDA'91), 1991, pp.396-403.
  92. Bolouri H & Lea RM, Yield considerations in the design of WASP3. Proc. IEEE Int. Conf. on Wafer Scale Integration, 1991, pp.170-177.
  93. Bolouri H, The effect of modelling tolerances on yield estimates of defect-tolerant ICs. Proc. IEEE Int. Workshop on Defect and Fault Tolerance in VLSI Systems, 1990, pp. 20-33.
  94. Bolouri H & Lea RM, Fault tolerance - a step towards WSI. IEE Proceedings, Part E, Vol.135, Issue 6, November 1988, pp.289-297.
  95. Bolouri H & Lea RM, ULSI and WSI yield estimation: an empirical approach. Yield Modelling and Defect Tolerance for VLSI, Moore WR, Maly W, Strojwas A, Adam Hilger, (Eds.) 1988, pp.205-212.
  96. Warren K, Abdelrazik MBA, Bolouri H, Lea RM, Power, clock, and signal distribution in the WASP image processing device. Wafer Scale Integration II, Saucier G, Trilhe J, Hilger A, (Eds.) 1987.
  97. Bolouri H & Lea RM, Towards a WSI design methodology. Proc. Electronic Design Automation Conference, 1987, pp.273-278.