Abstract is missing.
- Three-dimensional histo-morphometric features from light sheet microscopy images result in improved discrimination of benign from malignant glands in prostate cancerCan Fahrettin Koyuncu, Andrew Janowczyk, Cheng Lu, Patrick Leo, Mehdi Alilou, Adam K. Glaser, Nicholas P. Reder, Jonathan T. C. Liu, Anant Madabhushi. [doi]
- Generative modeling for renal microanatomyLeema Krishna Murali, Brendon Lutnick, Brandon Ginley, John E. Tomaszewski, Pinaki Sarder. [doi]
- Automatic cancer sub-grading on digital histopathology images of radical prostatectomy specimensW. Han, M. Downes, Theodorus H. van der Kwast, Joseph L. Chin, Stephen E. Pautler, Aaron D. Ward. [doi]
- Semi-supervised breast cancer histology classification using deep multiple instance learning and contrast predictive coding (Conference Presentation)Ming Y. Lu, Richard J. Chen, Faisal Mahmood. [doi]
- Graph convolutional networks for region of interest classification in breast histopathologyBulut Aygünes, Selim Aksoy, Ramazan Gökberk Cinbis, Kemal Kösemehmetoglu, Sevgen Önder, Aysegül Üner. [doi]
- Computer extracted features related to the spatial arrangement of tumor-infiltrating lymphocytes predict overall survival in epithelial ovarian cancer receiving adjuvant chemotherapySepideh Azarianpour, Germán Corredor, Kaustav Bera, Patrick Leo, Nathaniel Braman, Pingfu Fu, Haider Mahdi, Anant Madabhushi. [doi]
- Fully automated classification of glomerular lesions in lupus nephritisBrandon Ginley, Kuang-Yu Jen, Avi Rosenberg, Giovanni Maria Rossi, Sanjay Jain 0006, Pinaki Sarder. [doi]
- Making esophageal squamous cell carcinoma survival prediction from histopathological images and CT imagesJinLong Wang, Leilei Wu, Guowei Ma, Yao Lu. [doi]
- Histographs: graphs in histopathologyDeepak Anand, Shrey Gadiya, Amit Sethi. [doi]
- Deep learning-based automated hot-spot detection and tumor grading in human gastrointestinal neuroendocrine tumorDarshana Govind, Kuang-Yu Jen, Pinaki Sarder. [doi]
- PColorNet: investigating the impact of different color spaces for pathological image classificationMst Shamima Nasrin, Md. Zahangir Alom, Tarek M. Taha, Vijayan K. Asari. [doi]
- Realistic cross-domain microscopy via conditional generative adversarial networks: converting immunofluorescence to hematoxylin and eosinGouthamrajan Nadarajan, Scott Doyle. [doi]
- Generalizing convolution neural networks on stain color heterogeneous data for computational pathologyAmjad Khan, Manfredo Atzori, Sebastian Otálora, Vincent Andrearczyk, Henning Müller. [doi]
- Multimodal fusion of histology and molecular features for improved survival outcome prediction (Conference Presentation)Richard J. Chen, Max Lu, Faisal Mahmood. [doi]
- Using a 22-layer U-Net to perform segmentation of squamous cell carcinoma on digitized head and neck histological imagesAmol Mavuduru, Martin T. Halicek, Maysam Shahedi, James V. Little, Amy Y. Chen, Larry L. Myers, Baowei Fei. [doi]
- Conditional generative adversarial network for synthesizing hyperspectral images of breast cancer cells from digitized histologyMartin T. Halicek, Samuel Ortega, Himar Fabelo, Carlos López 0002, Marylène Lejeune, Gustavo Marrero Callicó, Baowei Fei. [doi]
- Hyperspectral imaging and deep learning for the detection of breast cancer cells in digitized histological imagesSamuel Ortega, Martin T. Halicek, Himar Fabelo, Raúl Guerra, Carlos López 0002, Marylène Lejeune, Fred Godtliebsen, Gustavo Marrero Callicó, Baowei Fei. [doi]
- Deep learning convolutional networks for image quality assessment in ultra-widefield fluorescein angiographyJon Whitney, Henry Li, Sunil K. Srivastava, Jenna Hach, Jamie Reese, Amit Vasanji, Justis P. Ehlers. [doi]
- Hyperspectral microscopic imaging for automatic detection of head and neck squamous cell carcinoma using histologic image and machine learningLing Ma, Martin T. Halicek, Ximing Zhou, James D. Dormer, Baowei Fei. [doi]
- A deep learning approach to assess the predominant tumor growth pattern in whole-slide images of lung adenocarcinomaZaneta Swiderska-Chadaj, Karolina Nurzynska, Bartlomiej Grala, Katrien Grunberg, Lieke van der Woude, Monika Looijen-Salamon, Ann E. Walts, Tomasz Markiewicz, Francesco Ciompi, Arkadiusz Gertych. [doi]
- Systematic comparison of deep learning strategies for weakly supervised Gleason gradingSebastian Otálora, Manfredo Atzori, Amjad Khan, Oscar Alfonso Jiménez del Toro, Vincent Andrearczyk, Henning Müller. [doi]
- Segmentation of mycobacterium tuberculosis bacilli clusters from acid-fast stained lung biopsies: a deep learning approachThomas E. Tavolara, Muhammad Khalid Khan Niazi, Gillian Beamer, Metin N. Gurcan. [doi]
- Multi-class semantic cell segmentation and classification of aplasia in bone marrow histology imagesLeander van Eekelen, Hans Pinckaers, Konnie M. Hebeda, Geert Litjens 0001. [doi]
- Texture features distinguish benign cell clusters from adenocarcinomas on bile duct brushing cytology imagesShayan Monabbati, Patrick Leo, Kaustav Bera, Behtash G. Nezami, Claire W. Michael, Aparna Harbhajanka, Anant Madabhushi. [doi]
- Transfer learning approach for intraoperative pixel-based diagnosis of colon cancer metastasis in a liver from hematoxylin-eosin stained specimensDario Sitnik, Ivica Kopriva, Gorana Aralica, Arijana Pacic, Marijana Popovic Hadzija, Mirko Hadzija. [doi]
- Discovering correspondences between molecular profiles and morphological features via deep learning (Conference Presentation)Richard J. Chen, Faisal Mahmood. [doi]
- Compactness measures of tumor infiltrating lymphocytes in lung adenocarcinoma are associated with overall patient survival and immune scoresRuiwen Ding, Prateek Prasanna, Germán Corredor, Cheng Lu, Priya Velu, Khoi Le, Patrick Leo, Niha Beig, Vamsidhar Velcheti, David L. Rimm, Kurt A. Schalper, Anant Madabhushi. 1132003 [doi]
- Computationally derived cytological image markers for predicting risk of relapse in acute myeloid leukemia patients following bone marrow transplantationSara ArabYarmohammadi, Zelin Zhang, Patrick Leo, Marjan Firouznia, Andrew Janowczyk, Haojia Li, Nathaniel M. Braman, Kaustav Bera, Behtash G. Nezami, Howard Meyerson, Jun Xu 0005, Leland Metheny, Anant Madabhushi. 1132004 [doi]
- Prediction of tumour mutational burden of squamous cell carcinoma using histopathology images of surgical specimensSalma Dammak, Matthew Cecchini, Katherina Baranova, David Palma 0003, Keith Kwan, Aaron D. Ward. 1132005 [doi]
- Identifying bladder layers from H and E images using U-Net image segmentationMuhammad Khalid Khan Niazi, Enes Yazgan, Cheryl Lee, Anil Parwani, Metin N. Gurcan. 1132006 [doi]
- Generative modeling for label-free glomerular modeling and classificationBrendon Lutnick, Brandon Ginley, Kuang-Yu Jen, Wen Dong 0001, Pinaki Sarder. 1132007 [doi]
- Hotspot detection in pancreatic neuroendocrine images using local depthMuhammad Khalid Khan Niazi, Katherine Moore, Kenneth S. Berenhaut, Douglas J. Hartman, Liron Pantanowitz, Metin N. Gurcan. 1132008 [doi]
- Deep learning approaches for intraoperative pixel-based diagnosis of colon cancer metastasis in a liver from phase-contrast images of unstained specimensDario Sitnik, Gorana Aralica, Arijana Pacic, Marijana Popovic Hadzija, Mirko Hadzija, Ivica Kopriva. 1132009 [doi]
- Predicting MYC translocation in HE specimens of diffuse large B-cell lymphoma through deep learningZaneta Swiderska-Chadaj, Konnie M. Hebeda, Michiel van den Brand, Geert Litjens 0001. 1132010 [doi]
- Automated grade classification of oral epithelial dysplasia using morphometric analysis of histology imagesRaja Muhammad Saad Bashir, Hanya Mahmood, Muhammad Shaban, Shan-e-Ahmed Raza, Muhammad Moazam Fraz, Syed Ali Khurram, Nasir M. Rajpoot. 1132011 [doi]
- Neutrophil Extracellular Traps (NETs): an unexplored territory in renal pathobiology, a pilot computational studyBriana A. Santo, Brahm H. Segal, John E. Tomaszewski, Imtiaz Mohammad, Amber M. Worral, Sanjay Jain 0006, Michelle B. Visser, Pinaki Sarder. 1132012 [doi]
- Preliminary radiomic texture analysis of high-channel fluorescence confocal images of triple-negative breast cancer biopsiesMadeleine S. Durkee, Bradie M. Ferguson, Rebecca Abraham, Li Lan, Hui Li 0024, Marcus R. Clark, Maryellen L. Giger. 1132013 [doi]
- Probabilistic modelling of diabetic nephropathy progressionSamuel Border, Kuang-Yu Jen, Washington L. C. dos-Santos, John Tomaszewski, Pinaki Sarder. 1132014 [doi]
- Searching patterns in glands for predicting gastric cancer survivalRicardo Moncayo, Sunny Alfonso, Angel Y. Sánchez, Carlos A. Parra, Eduardo Romero 0001. 1132015 [doi]
- Domain-adversarial neural network for improved generalization performance of Gleason grade classificationIda Arvidsson, Niels Christian Overgaard, Agnieszka Krzyzanowska, Felicia-Elena Marginean, Athanasios Simoulis, Anders Bjartell, Kalle Åström, Anders Heyden. 1132016 [doi]
- Characterization of color normalization methods in digital pathology whole slide imagesDorsa Ziaei, Weizhe Li, Samuel Lam, Wei-Chung Cheng, Weijie Chen. 1132017 [doi]
- The presence and location of podocytes in glomeruli as affected by diabetes mellitusKathryn E. Maraszek, Briana A. Santo, Rabi Yacoub, John E. Tomaszewski, Imtiaz Mohammad, Amber M. Worral, Pinaki Sarder. 1132018 [doi]
- Improved instance segmentation of immune cells in human lupus nephritis biopsies with Mask R-CNNMadeleine S. Durkee, Adam R. Sibley, Junting Ai, Rebecca Abraham, Vladimir M. Liarski, Marcus R. Clark, Maryellen L. Giger. 1132019 [doi]