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Tissue Image Analytics (TIA) Centre

TIA Centre: Publications

For publications from 2020 onwards, please visit the TeamLink opens in a new window and click on individual Core Faculty members and Research Fellows to see their publications.

2019

  • S. Graham, Q. Dang, S. E A. Raza, A. Azam, Y.-W Tsang, J. T. Kwak, N.M. Rajpoot, 鈥淗over-Net: Simultaneous segmentation and classification of nuclei in multi-tissue histology images,鈥 Medical Image Analysis, Dec. 2019, vol. 58, p. 101563. [Abstract]  [Data]Link opens in a new window
  • M. Shaban, A. Mahmood, S. A. Al-Maadeed & N. M. Rajpoot, 鈥淎n Information Fusion Framework for Person Localization Via Body Pose in Spectator Crowds,鈥 Information Fusion, Nov. 2019, vol. 51, p. 178鈥188. [Abstract] 
  • S. Javed, A. Mahmood, N. Werghi & N. M. Rajpoot, 鈥淒eep Multiresolution Cellular Communities for Semantic Segmentation of Multi-Gigapixel Histology Images,鈥 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW) Seoul, Korea (South), 2019, vol. 10581, p. 342鈥351. [Abstract] 
  • N. Kumar, R. Verma, D. Anand, Y. Zhou, O. F. Onder, E. Tsougenis, H. Chen, P. A. Heng, J. Li, Z. Hu, Y. Wang, N. A. Koohbanani, M. Jahanifar, N. Z. Tajeddin, A. Gooya, N. Rajpoot, X. Ren, S. Zhou, Q. Wang, D. Shen, C. K. Yang, C. H. Weng, W. H. Yu, C. Y. Yeh, S. Yang, S. Xu, P. H. Yeung, P. Sun, A. Mahbod, G. Schaefer, I. Ellinger, R. Ecker, O. Smedby, C. Wang, B. Chidester, T. V. Ton, M. T. Tran, J. Ma, M. N. Do, S. Graham, Q. D. Vu, J. T. Kwak, A. Gunda, R. Chunduri, C. Hu, X. Zhou, D. Lotfi, R. Safdari, A. Kascenas, A. O'Neil, D. Eschweiler, J. Stegmaier, Y. Cui, B. Yin, K. Chen, X. Tian, P. Gruening, E. Barth, E. Arbel, I. Remer, A. Ben-Dor, E. Sirazitdinova, M. Kohl, S. Braunewell, Y. Li, X. Xie, L. Shen, J. Ma, K. D. Baksi, M. A. Khan, J. Choo, A. Colomer, V. Naranjo, L. Pei, K. M. Iftekharuddin, K. Roy, D. Bhattacharjee, A. Pedraza, M. G. Bueno, S. Devanathan, S. Radhakrishnan, P. Koduganty, Z. Wu, G. Cai, X. Liu, Y. Wang, A. Sethi, 鈥淎 Multi-organ Nucleus Segmentation Challenge.,鈥 IEEE Transactions on Medical Imaging (TMI), Oct. 2019, p. 1. [Abstract] 
  • M. Shaban, S.A. Khurram, M.M. Fraz, N. Alsubaie, I. Masood, S. Mushtaq, M. Hassan, A. Loya, N. M. Rajpoot, 鈥淎 Novel Digital Score for Abundance of Tumour Infiltrating Lymphocytes Predicts Disease Free Survival in Oral Squamous Cell Carcinoma,鈥 Nature Scientific Reports, Sep. 2019, vol. 9, p. 13341. [Abstract] 
  • H. Lin, H. Chen, S. Graham, Q. Dou, N. M. Rajpoot, P.-A Heng, 鈥淔ast scannet: Fast and dense analysis of multi-gigapixel whole-slide images for cancer metastasis detection,鈥 IEEE Transactions on Medical Imaging (TMI), Aug. 2019, vol. 38(8), p. 1948鈥1958. [Abstract] 
  • T. Qaiser, Y.-W Tsang, D. Taniyama, N. Sakamoto, K. Nakane, D. Epstein, N. M. Rajpoot, 鈥淔ast and Accurate Tumor Segmentation of Histology Images using Persistent Homology and Deep Convolutional Features,鈥 Medical Image Analysis, Jul. 2019, vol. 55, p. 1鈥14. [Abstract] 
  • S. Graham, D. Epstein & N. M. Rajpoot, 鈥淩ota-Net: Rotation Equivariant Network for Simultaneous Gland and Lumen Segmentation in Colon Histology Images,鈥 European Congress on Digital Pathology, Jul. 2019, vol. 10581, p. 109鈥116. [Abstract] 
  • T. Qaiser, M. Pugh, S. Margielewska, R. Hollows, P. Murray, N. M. Rajpoot, 鈥淒igital Tumor-Collagen Proximity Signature Predicts Survival in Diffuse Large B-Cell Lymphoma,鈥 European Congress on Digital Pathology, Jul. 2019, vol. 11435, p. 163鈥171. [Abstract] 
  • J. Gamper, N. A. Koohbanani, K. Benet, A. Khuram, N. M. Rajpoot, 鈥淧anNuke: An Open Pan-Cancer Histology Dataset for Nuclei Instance Segmentation and Classification,鈥 European Congress on Digital Pathology, Jul. 2019, vol. 11435, p. 11鈥19. [Abstract] 
  • T. Qaiser, M. Pugh, S. Margielewska, R. Hollows, P. Murray, N. M. Rajpoot, 鈥淭umor-collagen digital proximity signature to indicate prognosis in diffuse large B-cell lymphoma,鈥 Journal Clinical Oncology, Jun. 2019, e19073. [Abstract] 
  • M. Veta, Y. J. Heng, N. Stathonikos, B. E. Bejnordi, F. Beca, T. Wollmann, K. Rohr, M. A. Shah, D. Wang, M. Rousson, M. Hedlund, D. Tellez, F. Ciompi, E. Zerhouni, D. Lanyi, M. Viana, V. Kovalev, V. Liauchuk, H. A. Phoulady, T. Qaiser, S. Graham, N. M. Rajpoot, E. Sj枚blom, J. Molin, K. Paengo, S. Hwang, S. Park, Z. Jia, EI-C. Chang, Y. Xu, A. H. Beck, P. J. van Diest, J. P. W. Pluim, 鈥淧redicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge,鈥 Medical Image Analysis, May. 2019, vol. 54, p. 111鈥121. [Abstract] 
  • R. Colling, H. Pitman, K. Oien, N.M. Rajpoot, P. Macklin, CM-Path AI in Histopathology Working Group, D. Snead, T. Sackville, C. Verrill, 鈥淎rtificial intelligence in digital pathology: a roadmap to routine use in clinical practice,鈥 Journal of Pathology, May. 2019, vol. 249(2), p. 143鈥150. [Abstract] 
  • R. Pell, K. Oien, M. Robinson, H. Pitman, N. M. Rajpoot, J. Rittscher, D. Snead, C. Verrill, CM-Path, 鈥淭he use of digital pathology and image analysis in clinical trials,鈥 The Journal of Pathology: Clinical Research, Apr. 2019, vol. 5(2), p. 81鈥90. [Abstract] 
  • Q. D. Vu, S. Graham, T. Kurc, M. N. To, M. Shaban, T. Qaiser, N. A. Koohbanani, S. A. Khurram, T. Kurc, K. Farahani, T. Zhao, R. Gupta, J. T. Kwak, N. M. Rajpoot, J. Saltz, 鈥淢ethods for segmentation and classification of digital microscopy tissue images,鈥 Frontiers in bioengineering and biotechnology, Apr. 2019, vol. 7, p. 53. [Abstract] 
  • M Shapcott, K Hewitt & N. M. Rajpoot, 鈥淒eep Learning with Sampling for Colon Cancer Histology Images,鈥 Frontiers of Bioengineering and Biotechnology, Mar. 2019, vol. 7, p. 52. [Abstract] 
  • T. Qaiser & N.M. Rajpoot, 鈥 Learning Where to See: A Novel Attention Model for Automated Immunohistochemical Scoring,鈥 IEEE Transactions on Medical Imaging (TMI), Mar. 2019, vol. , p. 1鈥1. [Abstract]  [Data]Link opens in a new window
  • S. Graham, H. Chen, J. Gamper, H. Chen, J. Gamper, Q. Dou, P.-A Heng, D. Snead, Y.-W Tsang, N. M. Rajpoot, 鈥淢ILD-Net: Minimal information loss dilated network for gland instance segmentation in colon histology images,鈥 Medical Image Analysis, Feb. 2019, vol. 52, p. 199鈥211. [Abstract]  [Data]Link opens in a new window

2018

  • L. Maier-Hein, M. Eisenmann, A. Reinke, S. Onogur, M. Stankovic, P. Scholz, T. Arbel, H. Bogunovic, A. P. Bradley, A. Carass, C. Feldmann, A. F. Frangi, P. M. Full, B. van Ginneken, A. Hanbury, K. Honauer, M. Kozubek, B. A. Landman, K. M盲rz, O. Maier, K. Maier-Hein, B. H. Menze, H. M眉ller, P. F. Neher, W. Niessen, N. M. Rajpoot, G. C. Sharp, K. Sirinukunwattana, S. Speidel, C. Stock, D. Stoyanov, A. A. Taha, F. van der Sommen, C.-W Wang, M.-A Weber, G. Zheng, P. Jannin, A. Kopp-Schneider, 鈥淲hy rankings of biomedical image analysis competitions should be interpreted with care,鈥 Nature Communications, Dec. 2018, vol. 9, p. 5217. [Abstract] 
  • S. E. A. Raza, L. Cheung, M. Shaban, S. Graham, D. Epstein, S. Pelengaris, M. Khan, N. M. Rajpoot, 鈥淢icro-Net: A unified model for segmentation of various objects in microscopy images,鈥 Medical Image Analysis, Dec. 2018, vol. 52, p. 160鈥173. [Abstract]  [Data]Link opens in a new window
  • T.-H. Song, V. Sanchez, H. ElDaly & N. M. Rajpoot, 鈥淪imultaneous Cell Detection and Classification in Bone Marrow Histology Images,鈥 IEEE Journal of Biomedical and Health Informatics, Oct. 2018, vol. 23 (4), p. 1469 鈥 1476. [Abstract] 
  • K. Sirinukunwattana, D. Snead, D. Epstein, Z. Aftab, I. Mujeeb, Y.-W. Tsang, I. Cree, N. M. Rajpoot, 鈥淣ovel digital signatures of tissue phenotypes for predicting distant metastasis in colorectal cancer,鈥 Nature Scientific Reports, Sep. 2018, vol. 8, p. 13692. [Abstract] 
  • S. Javed, M. M. Fraz, D. Epstein, D. Snead, & N. M. Rajpoot, 鈥淐ellular community detection for tissue phenotyping in histology images,鈥 in MICCAI Workshop Computational Pathology and Ophthalmic Medical Image Analysis, Sep. 2018, pp. 120鈥129. [Abstract] 
  • R. Awan & N. Rajpoot, 鈥淒eep Autoencoder Features for Registration of Histology Images,鈥 Annual Conference on Medical Image Understanding and Analysis, Jun 2018, p. 371鈥378. [Abstract] 
  • M. Shaban, S. A. Khurram, M. Hassan, S. Mushtaq, A. Loya, N. M. Rajpoot, 鈥淧rognostic significance of automated score of tumor infiltrating lymphocytes in oral cancer,鈥 Journal of Clinical Oncology, Jun. 2018, p. e18036. [Abstract] 
  • N. A. Koohababni, M. Jahanifar, A. Gooya, N.M.Rajpoot, 鈥淣uclei detection using mixture density networks.,鈥 International Workshop on Machine Learning in Medical Imaging, Sep. 2018, vol. 11046, p. 241鈥248. [Abstract] 
  • S. Graham, H. Chen, P.-A. Heng, N. M. Rajpoot, 鈥淢ILD-Net: Minimal Information Loss Dilated Network for Gland Instance Segmentation in Colon Histology Images,鈥 Medical Imaging with Deep Learning (MIDL) , Jul. 2018. [Abstract] 
  • R. Awan, N. A. Koohbanani, M. Shaban, A. Lisowska, N. M. Rajpoot, 鈥淐ontext-aware learning using transferable features for classification of breast cancer histology images,鈥 International Conference Image Analysis and Recognition, 2018, p. 788鈥795. [Abstract] 
  • S. Graham & N.M. Rajpoot, 鈥淪ams-net: Stain-aware multi-scale network for instance-based nuclei segmentation in histology images,鈥 IEEE International Symposium on Biomedical Imaging, May. 2018, p. 590鈥594. [Abstract] 
  • S. Graham, M. Shaban, T. Qaiser, N. A. Koohababni, S. A. Khurram, N. M. Rajpoot, 鈥淐lassification of lung cancer histology images using patch-level summary statistics,鈥 SPIE Medical Imaging, Mar. 2018, vol. 10581, p. 1058119. [Abstract] 
  • T. Qaiser, A. Mukherjee, C. Reddy Pb, S. D. Munugoti, V. Tallam, T. Pitk盲aho, T. Lehtim盲ki, T. Naughton, M. Berseth, A. Pedraza, R. Mukundan, M. Smith, A. Bhalerao, E. Rodner, M. Simon, J. Denzler, C.-H Huang, G. Bueno, D. Snead, I. Ellis, M. Ilyas, N. M. Rajpoot, 鈥淗ER2 challenge contest: a detailed assessment of automated HER2 scoring algorithms in whole slide images of breast cancer tissues,鈥 Histopathology, Jan. 2018, vol. 72(2), p. 227鈥238. [Abstract]  [Data]Link opens in a new window
  • A. Ahmad, A. Asif, N. M. Rajpoot, M. Arif, F. Minhas, 鈥淐orrelation Filters for Detection of Cellular Nuclei in Histopathology Images,鈥 Journal of Medical Systems, Jan. 2018, vol. 42, p. 7. [Abstract] 
  • J. van der Laak, N. M. Rajpoot, D. Vossen, 鈥淭he Promise of Computational Pathology,鈥 The Pathologist, Jan. 2018, vol. 38, p. 16鈥26.

2017

  • B. E. Bejnordi, M. Veta, P. J. van Diest, B van Ginneken, N Karssemeijer, G Litjens, JAWM van der Laak, M. Hermsen, Q. F. Manson, M. Balkenhol, O. Geessink, N. Stathonikos, M. CRF van Dijk, P. Bult, F. Beca, A. H. Beck, D. Wang, A. Khosla, R. Gargeya, H. Irshad, A. Zhong, Q. Dou, Q. Li, H. Chen, H.-J. Lin, P.-A. Heng, C. Ha脽, E. Bruni, Q. Wong, U. Halici, M. 脺. 脰ner, R. Cetin-Atalay, M. Berseth, V. Khvatkov, A. Vylegzhanin, O. Kraus, M. Shaban, N. M. Rajpoot, R. Awan, K. Sirinukunwattana, T. Qaiser, Y.-W. Tsang, D. Tellez, J. Annuscheit, P. Hufnagl, M. Valkonen, K. Kartasalo, L. Latonen, P. Ruusuvuori, K. Liimatainen, S. Albarqouni, B. Mungal, A. George, S. Demirci, N. Navab, S. Watanabe, S. Seno, Y. Takenaka, H. Matsuda, H. A. Phoulady, V. Kovalev, A. Kalinovsky, V. Liauchuk, G. Bueno, M. M. Fernandez-Carrobles, I. Serrano, O. Deniz, D. Racoceanu, R. Ven芒ncio, 鈥淒iagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer,鈥 Journal of the American Medical Association (JAMA), Dec. 2017, vol. 318(22), p. 2199鈥2210. [Abstract] 
  • R. Awan, K. Sirinukunwattana, D. Epstein, S. Jefferyes, U. Qidwai, Z. Aftab, I. Mujeeb, D. Snead, N. M. Rajpoot, 鈥淕landular morphometrics for objective grading of colorectal adenocarcinoma histology images,鈥 Nature Scientific Reports, Dec. 2017, vol. 7(1), p. 16852. [Abstract] 
  • T.-H. Song, V. Sanchez, H. Eldaly & N. M. Rajpoot, 鈥淒ual-Channel Active Contour Model for Megakaryocytic Cell Segmentation in Bone Marrow Trephine Histology Images,鈥 IEEE Transactions on Biomedical Engineering, Dec. 2017, vol. 64(12), p. 2913鈥2923. [Abstract] 
  • E. Rezk, Z. Awan, F. Islam, A. Jaoua, S. AlMaadeed, N. Zhang, G. Das, N. M. Rajpoot, 鈥淐onceptual data sampling for breast cancer histology image classification,鈥 Computers in Biology and Medicine, Oct. 2017, vol. 89, p. 59鈥67. [Abstract] 
  • M. Xue, A. Shafie, T. Qaiser, N. M. Rajpoot, G. Kaltsas, S. James, K. Gopalakrishnan, A. Fisk, G. K. Dimitriadis, D. K. Grammatopoulos, N. Rabbani, P. J. Thornalley, M. O. Weickert, 鈥淕lyoxalase 1 copy number variation in patients with well differentiated gastro-entero-pancreatic neuroendocrine tumours (GEP-NET).,鈥 Oncotarget, Sep. 2017, vol. 8(44), p. 76961鈥76973. [Abstract] 
  • N. Trahearn, D. Epstein, I. Cree, D. R. J. Snead, N. M. Rajpoot, 鈥淗yper-Stain Inspector: A Framework for Robust Registration and Localised Co-Expression Analysis of Multiple Whole-Slide Images of Serial Histology Sections,鈥 Nature Scientific Reports, Jul. 2017, vol. 7, p. 5641. [Abstract] 
  • N. Trahearn, Y.-W . Tsang, I. Cree, D. R. J. Snead, D. B. A. Epstein, N. M. Rajpoot, 鈥淪imultaneous Automatic Scoring and Co-Registration of Hormone Receptors in Tumour Areas in Whole Slide Images of Breast Cancer Tissue Slides,鈥 Cytometry: Part A special issue on Computer-Aided Diagnostics in Digital Pathology, Jun. 2017, vol. 91(6), p. 585鈥594. [Abstract] 
  • T. Qaiser, Y.-W. Tsang, D. Epstein, N. M. Rajpoot, 鈥淭umor segmentation in whole slide images using persistent homology and deep convolutional features.,鈥 In Medical Image Understanding and Analysis (MIUA), Jul. 2017, vol. 723, p. 320鈥329. [Abstract] 
  • S. E A. Raza, L. Cheung, D. Epstein, S. Pelengaris, M. Khan, N. M. Rajpoot, 鈥淢imonet: Gland segmentation using multi-input-multi-output convolutional neural network,鈥 In Medical Image Understanding and Analysis (MIUA), Jul. 2017, pp. 698鈥706. [Abstract] 
  • S. E. A. Raza, L. Cheung, D. Epstein, S. Pelengaris, M. Khan, N. M. Rajpoot, 鈥淢IMO-Net: A multi-input multi-output convolutional neural network for cell segmentation in fluorescence microscopy images,鈥 IEEE International Symposium on Biomedical Imaging (ISBI), Apr. 2017, p. 337-340. [Abstract] 
  • G. Li, S.E.A. Raza, N.M. Rajpoot, 鈥淢ulti-Resolution Cell Orientation Congruence Descriptors for Epithelium Segmentation in Endometrial Histology Images,鈥 Medical Image Analysis, Jan. 2017, vol. 37, p. 91鈥100. [Abstract] 
  • N. Alsubaie, N. Trahearn, S.E.A. Raza, D. R. J. Snead, N. M. Rajpoot, 鈥淪tain Deconvolution Using Statistical Analysis of Multi-Resolution Stain Colour Representation,鈥 PLoS One, Jan. 2017, vol. 12, no. 1, p.e0169875. [Abstract] 
  • K. Sirinukunwattana, J. P. W. Pluim, H. Chen, X. Qi, P-A Heng, Y. B. Guo, L. Y. Wang, B. J. Matuszewski, E. Bruni, U. Sanchez, A. B枚hm, O. Ronneberger, B. B. Cheikh, D. Racoceanu, P. Kainz, M. Pfeiffer, M. Urschler, D. R. J. Snead, N. M. Rajpoot, 鈥淕land Segmentation in Colon Histology Images: The GlaS Challenge Contest,鈥 Medical Image Analysis, Jan. 2017, vol. 35, p. 489鈥502. [Abstract]  [Data]Link opens in a new window

2016

  • T. Qaiser, K. Sirinukunwattana, K. Nakane, Y.-W Tsang, D. B. A. Epstein, N. M. Rajpoot, 鈥淧ersistent Homology for Fast Tumor Segmentation in Whole Slide Histology Images,鈥 Procedia Computer Science, Dec. 2016, vol. 90, p.119-124. [Abstract] 
  • A. Mahmood, M. Small, S. Al-Maadeed, N. M. Rajpoot, 鈥淯sing Geodesic Space Density Gradients for Network Community Detection,鈥 IEEE Transactions on Knowledge and Data Engineering, Nov. 2016, vol. PP, no.99, p.1-1. [Abstract] 
  • V. N. Kovacheva, N. M. Rajpoot, 鈥淪ubcellular protein expression models for microsatellite instability in colorectal adenocarcinoma tissue images,鈥 BMC Bioinformatics, Oct. 2016, vol. 17:430. [Abstract] 
  • V. N. Kovacheva, D. Snead, N. M. Rajpoot, 鈥淎 model of the spatial tumour heterogeneity in colorectal adenocarcinoma tissue,鈥 BMC Bioinformatics, Jun. 2016, vol. 17:25. [Abstract] 
  • T. Qaiser, K. Sirinukunwattana, & N.M. Rajpoot, 鈥淎n Integrated Environment For Tissue Morphometrics And Analytics.,鈥 Diagnostic Pathology, Jun. 2016, vol. 1(8). [Abstract] 
  • N. Alsubaie, S. E. A. Raza, and N. M. Rajpoot, 鈥淪tain Deconvoloution of Histology Images via Independent Component Analysis in the Wavelet Domain,鈥 IEEE International Symposium on Biomedical Imaging (ISBI), Apr. 2016, p. 803-806. [Abstract] 
  • M. N. Kashif, S.E.A. Raza, K. Sirinukunwattana, M. Arif, N. M. Rajpoot, 鈥淗andcrafted features with convolutional neural networks for detection of tumor cells in histology images,鈥 IEEE International Symposium on Biomedical Imaging (ISBI), Apr. 2016, p. 1029-1032. [Abstract] 
  • S. E. A. Raza, D. Langenk盲mper, K. Sirinukunwattana, D. B. A. Epstein, T. W. Nattkemper, and N. M. Rajpoot, 鈥淩obust Normalization Protocols for Multiplexed Fluorescence Bioimage Analysis,鈥 BMC Biodata Min., Mar. 2016, vol. 9:11. [Abstract] 
  • K. Sirinukunwattana, S.E.A. Raza, Y.-W. Tsang, D. Snead, I. Cree, and N.M. Rajpoot, 鈥淟ocality Sensitive Deep Learning for Detection and Classification of Nuclei in Routine Colon Cancer Histology Images,鈥 IEEE Transactions on Medical Imaging (TMI), pp. 1鈥1, Jan. 2016. [Abstract]  [Data]Link opens in a new window

2015

  • G. Li, V. Sanchez, P. C. S. B. Nagaraj, S. Khan, and N. M. Rajpoot, 鈥淎 novel multitarget tracking algorithm for Myosin VI protein molecules on actin filaments in TIRFM sequences,鈥 Journal of Microscopy, vol. 260, no. 3, pp. 312鈥325, Dec. 2015. [Abstract] 
  • K. Sirinukunwattana, S. E. A.Raza, Y.-W. Tsang, D. Snead, I. Cree, and N.M. Rajpoot, 鈥淎 Spatially Constrained Deep Learning Framework for Detection of Epithelial Tumor Nuclei in Cancer Histology Images,鈥 in 1st International Workshop on Patch-based Techniques in Medical Imaging, MICCAI, Oct. 2015, pp. 154鈥162. [Abstract] 
  • G. Li, S. E. A. Raza, and N.M. Rajpoot, 鈥淎 Novel Cell Orientation Congruence Descriptor for Superpixel Based Epithelium Segmentation in Endometrial Histology Images,鈥 in 1st International Workshop on Patch-based Techniques in Medical Imaging, MICCAI, Oct. 2015, pp. 172鈥179. [Abstract] 
  • D. R. Snead, Y.-W. Tsang, A. Meskiri, P. K. Kimani, R. Crossman, N. M. Rajpoot, E. Blessing, K. Chen, K. Gopalakrishnan, P. Matthews, N. Momtahan, S. Read-Jones, S. Sah, E. Simmons, B. Sinha, S. Suortamo, Y. Yeo, H. El Daly, and I. A. Cree, 鈥淰alidation of digital pathology imaging for primary histopathological diagnosis,鈥 Histopathology, Sep. 2015. [Abstract] 
  • A. M. Khan, K. Sirinukunwattana, and N.M. Rajpoot, 鈥淎 Global Covariance Descriptor for Nuclear Atypia Scoring in Breast Histopathology Images,鈥 IEEE Journal of Biomedical and Health Informatics, vol. 19, no. 5, pp. 1637鈥1647, Sep. 2015. [Abstract] 
  • K. Rajpoot, A. Riaz, W. Majeed, and N.M. Rajpoot, 鈥淔unctional Connectivity Alterations in Epilepsy from Resting-State Functional MRI,鈥 PLoS One, vol. 10, no. 8, p. e0134944, Aug. 2015. [Abstract] 
  • S.E.A. Raza, V. Sanchez, G. Prince, J. Clarkson, and N. M. Rajpoot, 鈥淩egistration of thermal and visible light images of diseased plants using silhouette extraction in the wavelet domain,鈥 Pattern Recognition, vol. 48, pp. 2119鈥2128, Jul. 2015. [Abstract] 
  • S. E. A. Raza and N. M. Rajpoot, 鈥淐ell Nuclei Segmentation in Variable Intensity Fluorescence Microscopy Images,鈥 in Medical Image Understanding and Analysis, Jul. 2015, pp. 28鈥33. [Abstract] 
  • N. Alsubaie, N. Trahearn, S. E. A. Raza, and N. M. Rajpoot, 鈥淎 Discriminative Framework for Stain Deconvolution of Histopathology Images in the Maxwellian Space,鈥 in Medical Image Understanding and Analysis, Jul. 2015, pp. 132鈥137. [Abstract] 
  • K. Sirinukunwattana, A. M. Khan, and N. M. Rajpoot, 鈥淐ell words: Modelling the visual appearance of cells in histopathology images,鈥 Computerized Medical Imaging and Graphics on Breakthrough Technologies in Digital Pathology, vol. 42, pp. 16鈥24, Jun. 2015. [Abstract] 
  • G. Li, V. Sanchez, G. Patel, S. Quenby, and N.M. Rajpoot, 鈥淟ocalisation of luminal epithelium edge in digital histopathology images of IHC stained slides of endometrial biopsies,鈥 Comput. Med. Imaging Graph., vol. 42, pp. 56鈥64, Jun. 2015. [Abstract] 
  • K. Sirinukunwattana, D. Snead, and N.M. Rajpoot, 鈥淎 Stochastic Polygons Model for Glandular Structures in Colon Histology Images,鈥 IEEE Transactions on Medical Imaging (TMI), vol. 0062, no. c, pp. 1鈥1, May 2015. [Abstract] 
  • V. N. Kovacheva, D. Snead, and N. M. Rajpoot, 鈥淎 model of the spatial microenvironment of the colonic crypt,鈥 in IEEE 12th International Symposium on Biomedical Imaging (ISBI), Apr. 2015, pp. 172鈥176. [Abstract] 
  • K. Sirinukunwattana, D. R. J. Snead, and N. M. Rajpoot, 鈥淎 random polygons model of glandular structures in colon histology images,鈥 in IEEE 12th International Symposium on Biomedical Imaging (ISBI), Apr. 2015, pp. 1526鈥1529. [Abstract] 
  • S. E. A. Raza, G. Prince, J. Clarkson, and N. M. Rajpoot, 鈥淎utomatic Detection of Diseased Tomato Plants using Thermal and Stereo Visible Light Images,鈥 PLoS One, Apr. 2015. [Abstract] 
  • S. E. A. Raza, M. Q. Marjan, M. Arif, F. Butt, F. Sultan, and N. M. Rajpoot, 鈥淎nisotropic tubular filtering for automatic detection of acid-fast bacilli in Ziehl-Neelsen stained sputum smear samples,鈥 in SPIE Medical Imaging, Feb. 2015, vol. 9420, p. 942005. [Abstract] 
  • N. Trahearn, D. Snead, I. Cree, and N.M. Rajpoot, 鈥淢ulti-class stain separation using independent component analysis,鈥 in SPIE Medical Imaging, Feb. 2015, vol. 9420, p. 94200J. [Abstract] 
  • T.-H. Song, V. Sanchez, H. EIDaly, and N. M. Rajpoot, 鈥淎 circumscribing active contour model for delineation of nuclei and membranes of megakaryocytes in bone marrow trephine biopsy images,鈥漣n SPIE Medical Imaging, Feb. 2015, vol. 9420, p. 94200T. [Abstract] 
  • K. Sirinukunwattana, D. R. Snead, and N. M. Rajpoot, 鈥淎 novel texture descriptor for detection of glandular structures in colon histology images,鈥漣n SPIE Medical Imaging, Feb. 2015, vol. 9420, p. 94200S. [Abstract] 
  • M. Veta, P. J. van Diest, S. M. Willems, H. Wang, A. Madabhushi, A. Cruz-Roa, F. Gonzalez, A. B. L. Larsen, J. S. Vestergaard, A. B. Dahl, D. C. Cirean, J. Schmidhuber, A. Giusti, L. M. Gambardella, F. B. Tek, T. Walter, C.-W. Wang, S. Kondo, B. J. Matuszewski, F. Precioso, V. Snell, J. Kittler, T. E. de Campos, A. M. Khan, N. M. Rajpoot, E. Arkoumani, M. M. Lacle, M. A. Viergever, J. P. W. Pluim, 鈥淎ssessment of algorithms for mitosis detection in breast cancer histopathology images,鈥 Medical Image Analysis, Feb. 2015, vol. 20, no. 1, pp. 237鈥248. [Abstract] 

2014

  • A.M. Khan, N.M. Rajpoot, D. Treanor, D. Magee, 鈥淎 Non-Linear Mapping Approach to Stain Normalisation in Digital Histopathology Images using Image-Specific Colour Deconvolution,鈥 IEEE Transactions on Biomedical Engineering, Jun. 2014, vol. 61 no. 6 p. 1729-1738. [Abstract] 
  • A.M. Khan, S.E.A. Raza, M. Khan, N. M. Rajpoot, 鈥淐ell Phenotyping in Multi-Tag Fluorescent Bioimages,鈥 Neurocomputing, Jun. 2014, vol. 134 no. 1 p. 254-261. [Abstract] 
  • S.E.A Raza, H. Smith, G.J.J. Clarkson, G. Taylor, A. J. Thompson, J. Clarkson, N. M. Rajpoot, 鈥淎utomatic Detection of Regions in Spinach Canopies Responding to Soil Moisture Deficit Using Combined Visible and Thermal Imagery,鈥 PLoS ONE, Jun. 2014, vol. 9 no. 6 p. e97612. [Abstract] 
  • V.N. Kovacheva, A.M. Khan, M. Khan, D. B. A. Epstein, N. M. Rajpoot, 鈥淒iSWOP: A Novel Measure for Cell-Level Protein Network Analysis in Localised Proteomics Image Data,鈥 Bioinformatics, Mar. 2014, vol. 30 no. 3 p. 420-427. [Abstract] 
  • V.N. Kovacheva, D.B.A. Epstein, N.M. Rajpoot, 鈥淎dvances in Discovery of Complex Biomarkers for Colorectal Cancer Using Multiplexed Proteomics Imaging,鈥 Oncolongy News, Jan. 2014, vol. 8 no. 6 p. 191-193. [Abstract] 

2013

  • K. Sirinukunwattana, R.S. Savage, M.F. Bari, D. R. J. Snead, N. M. Rajpoot, 鈥淏ayesian Hierarchical Clustering for Studying Cancer Gene Expression Data with Unknown Statistics,鈥 PLoS ONE, Oct. 2013, vol. 8 no. 10 p. e75748. [Abstract] 
  • A.M. Khan, H. El-Daly, N.M. Rajpoot, 鈥淎 Gamma-Gaussian Mixture Model for Detection of Mitotic Cells in Breast Cancer Histopathology Images,鈥 Journal of Pathology Informatics, Mar. 2013, vol. 4 no. 11. [Abstract] 
  • A.M. Khan, H. El-Daly, E. Simmons, N. M. Rajpoot, 鈥淗yMaP: A hybrid magnitude-phase approach to unsupervised segmentation of tumor areas in breast cancer histology images,鈥 Journal of Pathology Informatics, Mar. 2013, vol. 4 no. 1. [Abstract] 

2012

  • R. Evans, U. Naidu, N.M. Rajpoot, et al. 鈥淭oponome imaging system: multiplex biomarkers in oncology,鈥 Trends in Molecular Medicine Cell, Dec. 2012, vol. 18 no. 12, p. 723-731. [Abstract] 
  • N.M. Rajpoot, I.T. Butt, 鈥淎 Multiresolution Framework for Local Similarity based Image Denoising,鈥 Pattern Recognition, Aug. 2012, vol. 45 no. 8, p. 2938-2951. [Abstract] 
  • L. Zhou, S. Pelengaris, S. Abouna, et al., 鈥淩e-expression of IGF-II is important for beta cell regeneration in adult mice.,鈥 PloS one, Sep. 2012, vol. 7(9), p. e43623. [Abstract] 
  • S. Khan, T.S. Reese, N.M. Rajpoot, et al., 鈥淪patiotemporal Maps of CaMKII in Dendritic Spines,鈥 Journal of Computational Neuroscience, Aug. 2012, vol. 33 no. 1, p. 123-139. [Abstract] 
  • S.J. McKenna, D. Magee, N.M. Rajpoot, 鈥淪pecial issue on microscopy image analysis for biomedical applications,鈥 Machine Vision and Applications, Jun. 2012, vol. 23 no. 4, p. 603-605.
  • S.E.A. Raza, A. Humayun, S. Abouna, et al., 鈥淩AMTaB: Robust Alignment of Multi-Tag Bioimages,鈥 PLoS ONE, Feb. 2012, vol. 7 no. 2, p. e30894. [Abstract] 
  • M. Kuse, Y.F. Wang, V. Kalassannavar, et al., 鈥淟ocal Isotropic Phase Symmetry for Detection of beta Cells and Lymphocytes,鈥 Journal of Pathology Informatics, Jan. 2012, vol. 2 no. 2. [Abstract] 

2011

  • A. Humayun, S.E.A. Raza, C. Waddington, S. Abouna, M. Khan, N. M. Rajpoot, 鈥淎 Framework for Molecular Co-Expression Pattern Analysis in Multi-Channel Toponome Fluorescence Images,鈥 Proceedings Microscopy Image Analysis with Applications in Biology (MIAAB), Sep. 2011, Heidelberg, Germany. [Abstract] 
  • S. Qureshi, A. Mirza, N.M. Rajpoot, M. Arif, 鈥淗ybrid Diversification Operator Based Evolutionary Approach towards Tomographic Image Reconstruction,鈥 IEEE Transactions on Image Processing, Jul. 2011, vol. 27 no. 7, p. 1977鈥1990. [Abstract] 
  • C. Loyek, N.M. Rajpoot, M. Khan, T. W. Nattkemper, 鈥淏ioIMAX: A Web 2.0 approach for easy exploratory and collaborative access to multivariate bioimage data,鈥 BMC Bioinformatics, Jul. 2011, vol. 12, p. 297鈥297. [Abstract] 
  • M. Arif, N.M. Rajpoot, T.W. Nattkemper, U. Technow, T. Chakraborty, N. Fische, N. Jensen, K. Niehaus, 鈥淨uantification of Cell Infection Caused by Listeria monocytogenes Invasion,鈥 Journal of Biotechnology, Jun. 2011, vol. 154, p. 76鈥83. [Abstract] 
  • D. Langenkamper, J. Kolling, A. Humayun, S. Abouna, D. Epstein, M. Khan, N. M. Rajpoot, TW Nattkemper, 鈥淭owards Protein Network Analysis Using TIS Imaging and Exploratory Data Analysis,鈥 Proceedings Workshop on Computational Systems Biology (WCSB), Z眉rich, Switzerland, Jun. 2011. [Abstract] 

2010

  • S. Bhattacharya, G. Mathew, E. Ruban, E. Ruban, D. Epstein, A. Krusche, R. Hillert, W. Schubert, M. Khan, 鈥淭oponome imaging system: in situ protein network mapping in normal and cancerous colon from the same patient reveals more than five-thousand cancer specific protein clusters and their subcellular annotation by using a three symbol code.,鈥 Journal of proteome research, Sep. 2010, vol. 9(12), p. 6112鈥6125. [Abstract] [ ]
  • S. Abouna, R. W. Old, S. Pelengaris, D. Epstein, V. Ifandi, I. Sweeney & M. Khan, 鈥淣on-尾-cell progenitors of 尾-cells in pregnant mice.,鈥 Organogenesis , Apr. 2010, vol. 6(2), p. 6112鈥6125. [Abstract] 
  • L. Wang, G. Zhao, N. M. Rajpoot, M. Nixon, 鈥淪pecial issue on new advances in video-based gait analysis and applications: challenges and solutions,鈥 IEEE Transactions on Systems, Man and Cybernetics, Part B: Cybernetics, Aug. 2010, vol. 40, p. 982-985.

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