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Connection

Co-Authors

This is a "connection" page, showing publications co-authored by Metin Gurcan and Muhammad Khalid Khan Niazi.
Connection Strength

9.899
  1. Niazi MKK, Yazgan E, Tavolara TE, Li W, Lee CT, Parwani A, Gurcan MN. Semantic segmentation to identify bladder layers from H&E Images. Diagn Pathol. 2020 Jul 16; 15(1):87.
    View in: PubMed
    Score: 0.758
  2. Niazi MKK, Parwani AV, Gurcan MN. Digital pathology and artificial intelligence. Lancet Oncol. 2019 05; 20(5):e253-e261.
    View in: PubMed
    Score: 0.697
  3. Niazi MKK, Senaras C, Pennell M, Arole V, Tozbikian G, Gurcan MN. Relationship between the Ki67 index and its area based approximation in breast cancer. BMC Cancer. 2018 Sep 03; 18(1):867.
    View in: PubMed
    Score: 0.666
  4. Niazi MKK, Abas FS, Senaras C, Pennell M, Sahiner B, Chen W, Opfer J, Hasserjian R, Louissaint A, Shana'ah A, Lozanski G, Gurcan MN. Nuclear IHC enumeration: A digital phantom to evaluate the performance of automated algorithms in digital pathology. PLoS One. 2018; 13(5):e0196547.
    View in: PubMed
    Score: 0.651
  5. Niazi MKK, Tavolara TE, Arole V, Hartman DJ, Pantanowitz L, Gurcan MN. Identifying tumor in pancreatic neuroendocrine neoplasms from Ki67 images using transfer learning. PLoS One. 2018; 13(4):e0195621.
    View in: PubMed
    Score: 0.648
  6. Niazi MKK, Beamer G, Gurcan MN. An application of transfer learning to neutrophil cluster detection for tuberculosis: Efficient implementation with nonmetric multidimensional scaling and sampling. Proc SPIE Int Soc Opt Eng. 2018; 10581.
    View in: PubMed
    Score: 0.643
  7. Niazi MKK, Zynger DL, Clinton SK, Chen J, Koyuturk M, LaFramboise T, Gurcan M. Visually Meaningful Histopathological Features for Automatic Grading of Prostate Cancer. IEEE J Biomed Health Inform. 2017 07; 21(4):1027-1038.
    View in: PubMed
    Score: 0.567
  8. Niazi MK, Beamer G, Gurcan MN. Detecting and characterizing cellular responses to Mycobacterium tuberculosis from histology slides. Cytometry A. 2014 Feb; 85(2):151-61.
    View in: PubMed
    Score: 0.480
  9. Tavolara TE, Niazi MKK, Feldman AL, Jaye DL, Flowers C, Cooper LAD, Gurcan MN. Translating prognostic quantification of c-MYC and BCL2 from tissue microarrays to whole slide images in diffuse large B-cell lymphoma using deep learning. Diagn Pathol. 2024 Jan 19; 19(1):17.
    View in: PubMed
    Score: 0.242
  10. Su Z, Rezapour M, Sajjad U, Gurcan MN, Niazi MKK. Attention2Minority: A salient instance inference-based multiple instance learning for classifying small lesions in whole slide images. Comput Biol Med. 2023 Dec; 167:107607.
    View in: PubMed
    Score: 0.238
  11. Tavolara TE, Su Z, Gurcan MN, Niazi MKK. One label is all you need: Interpretable AI-enhanced histopathology for oncology. Semin Cancer Biol. 2023 Dec; 97:70-85.
    View in: PubMed
    Score: 0.237
  12. Sajjad U, Rezapour M, Su Z, Tozbikian GH, Gurcan MN, Niazi MKK. NRK-ABMIL: Subtle Metastatic Deposits Detection for Predicting Lymph Node Metastasis in Breast Cancer Whole-Slide Images. Cancers (Basel). 2023 Jun 30; 15(13).
    View in: PubMed
    Score: 0.233
  13. Rezapour M, Niazi MKK, Gurcan MN. Author Correction: Machine learning-based analytics of the impact of the Covid-19 pandemic on alcohol consumption habit changes among United States healthcare workers. Sci Rep. 2023 Apr 26; 13(1):6818.
    View in: PubMed
    Score: 0.230
  14. Rezapour M, Niazi MKK, Gurcan MN. Machine learning-based analytics of the impact of the Covid-19 pandemic on alcohol consumption habit changes among United States healthcare workers. Sci Rep. 2023 Apr 12; 13(1):6003.
    View in: PubMed
    Score: 0.229
  15. Su Z, Niazi MKK, Tavolara TE, Niu S, Tozbikian GH, Wesolowski R, Gurcan MN. BCR-Net: A deep learning framework to predict breast cancer recurrence from histopathology images. PLoS One. 2023; 18(4):e0283562.
    View in: PubMed
    Score: 0.229
  16. Tavolara TE, Gurcan MN, Niazi MKK. Contrastive Multiple Instance Learning: An Unsupervised Framework for Learning Slide-Level Representations of Whole Slide Histopathology Images without Labels. Cancers (Basel). 2022 Nov 24; 14(23).
    View in: PubMed
    Score: 0.223
  17. Su Z, Tavolara TE, Carreno-Galeano G, Lee SJ, Gurcan MN, Niazi MKK. Attention2majority: Weak multiple instance learning for regenerative kidney grading on whole slide images. Med Image Anal. 2022 Jul; 79:102462.
    View in: PubMed
    Score: 0.214
  18. Tavolara TE, Gurcan MN, Segal S, Niazi MKK. Identification of difficult to intubate patients from frontal face images using an ensemble of deep learning models. Comput Biol Med. 2021 Aug 04; 136:104737.
    View in: PubMed
    Score: 0.204
  19. Tavolara TE, Niazi MKK, Gower AC, Ginese M, Beamer G, Gurcan MN. Deep learning predicts gene expression as an intermediate data modality to identify susceptibility patterns in Mycobacterium tuberculosis infected Diversity Outbred mice. EBioMedicine. 2021 May; 67:103388.
    View in: PubMed
    Score: 0.201
  20. Tavolara TE, Niazi MKK, Ginese M, Piedra-Mora C, Gatti DM, Beamer G, Gurcan MN. Automatic discovery of clinically interpretable imaging biomarkers for Mycobacterium tuberculosis supersusceptibility using deep learning. EBioMedicine. 2020 Dec; 62:103094.
    View in: PubMed
    Score: 0.194
  21. Camalan S, Niazi MKK, Moberly AC, Teknos T, Essig G, Elmaraghy C, Taj-Schaal N, Gurcan MN. OtoMatch: Content-based eardrum image retrieval using deep learning. PLoS One. 2020; 15(5):e0232776.
    View in: PubMed
    Score: 0.187
  22. Tavolara TE, Niazi MKK, Arole V, Chen W, Frankel W, Gurcan MN. Author Correction: A modular cGAN classification framework: Application to colorectal tumor detection. Sci Rep. 2020 Feb 06; 10(1):2398.
    View in: PubMed
    Score: 0.184
  23. Binol H, Plotner A, Sopkovich J, Kaffenberger B, Niazi MKK, Gurcan MN. Ros-NET: A deep convolutional neural network for automatic identification of rosacea lesions. Skin Res Technol. 2020 May; 26(3):413-421.
    View in: PubMed
    Score: 0.182
  24. Tavolara TE, Niazi MKK, Arole V, Chen W, Frankel W, Gurcan MN. A modular cGAN classification framework: Application to colorectal tumor detection. Sci Rep. 2019 12 12; 9(1):18969.
    View in: PubMed
    Score: 0.182
  25. Senaras C, Niazi MKK, Lozanski G, Gurcan MN. DeepFocus: Detection of out-of-focus regions in whole slide digital images using deep learning. PLoS One. 2018; 13(10):e0205387.
    View in: PubMed
    Score: 0.168
  26. Niazi MKK, Lin Y, Liu F, Ashok A, Marcellin MW, Tozbikian G, Gurcan MN, Bilgin A. Pathological image compression for big data image analysis: Application to hotspot detection in breast cancer. Artif Intell Med. 2019 04; 95:82-87.
    View in: PubMed
    Score: 0.167
  27. Senaras C, Niazi MKK, Sahiner B, Pennell MP, Tozbikian G, Lozanski G, Gurcan MN. Optimized generation of high-resolution phantom images using cGAN: Application to quantification of Ki67 breast cancer images. PLoS One. 2018; 13(5):e0196846.
    View in: PubMed
    Score: 0.163
  28. Niazi MKK, Chung JH, Heaton-Johnson KJ, Martinez D, Castellanos R, Irwin MS, Master SR, Pawel BR, Gurcan MN, Weiser DA. Advancing Clinicopathologic Diagnosis of High-risk Neuroblastoma Using Computerized Image Analysis and Proteomic Profiling. Pediatr Dev Pathol. 2017 Sep-Oct; 20(5):394-402.
    View in: PubMed
    Score: 0.151
  29. Abas FS, Shana'ah A, Christian B, Hasserjian R, Louissaint A, Pennell M, Sahiner B, Chen W, Niazi MKK, Lozanski G, Gurcan M. Computer-assisted quantification of CD3+ T cells in follicular lymphoma. Cytometry A. 2017 06; 91(6):609-621.
    View in: PubMed
    Score: 0.149
  30. Niazi MK, Chung JH, Heaton-Johnson KJ, Martinez D, Castellanos R, Irwin M, Master SR, Pawel B, Gurcan MN, Weiser D. Advancing clinicopathologic diagnosis of high-risk neuroblastoma using computerized image analysis and proteomic profiling. Pediatr Dev Pathol. 2016 Jul 21.
    View in: PubMed
    Score: 0.144
  31. Niazi MK, Dhulekar N, Schmidt D, Major S, Cooper R, Abeijon C, Gatti DM, Kramnik I, Yener B, Gurcan M, Beamer G. Lung necrosis and neutrophils reflect common pathways of susceptibility to Mycobacterium tuberculosis in genetically diverse, immune-competent mice. Dis Model Mech. 2015 Sep; 8(9):1141-53.
    View in: PubMed
    Score: 0.134
  32. Kornaropoulos EN, Niazi MK, Lozanski G, Gurcan MN. Histopathological image analysis for centroblasts classification through dimensionality reduction approaches. Cytometry A. 2014 Mar; 85(3):242-55.
    View in: PubMed
    Score: 0.120
  33. Moaven O, Tavolara TE, Valenzuela CD, Cheung TT, Corvera CU, Cha CH, Stauffer JA, Niazi MKK, Gurcan MN, Shen P. Machine Learning Models for Predicting the Outcomes of Surgical Treatment of Colorectal Liver Metastases. J Am Coll Surg. 2023 Apr 01; 236(4):884-893.
    View in: PubMed
    Score: 0.056
  34. Luchini C, Pantanowitz L, Adsay V, Asa SL, Antonini P, Girolami I, Veronese N, Nottegar A, Cingarlini S, Landoni L, Brosens LA, Verschuur AV, Mattiolo P, Pea A, Mafficini A, Milella M, Niazi MK, Gurcan MN, Eccher A, Cree IA, Scarpa A. Ki-67 assessment of pancreatic neuroendocrine neoplasms: Systematic review and meta-analysis of manual vs. digital pathology scoring. Mod Pathol. 2022 Mar 05.
    View in: PubMed
    Score: 0.053
  35. Binol H, Niazi MKK, Essig G, Shah J, Mattingly JK, Harris MS, Elmaraghy C, Teknos T, Taj-Schaal N, Yu L, Gurcan MN, Moberly AC. Digital Otoscopy Videos Versus Composite Images: A Reader Study to Compare the Accuracy of ENT Physicians. Laryngoscope. 2021 05; 131(5):E1668-E1676.
    View in: PubMed
    Score: 0.048
  36. Das H, Wang Z, Niazi MK, Aggarwal R, Lu J, Kanji S, Das M, Joseph M, Gurcan M, Cristini V. Impact of diffusion barriers to small cytotoxic molecules on the efficacy of immunotherapy in breast cancer. PLoS One. 2013; 8(4):e61398.
    View in: PubMed
    Score: 0.029
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.