- Jennifer Salguero López, Prateek Prasanna, Germán Corredor, Angel Cruz-Roa, David Becerra, Eduardo Romero:
Selecting training samples for ovarian cancer classification via a semi-supervised clustering approach. Digital and Computational Pathology 2022 - Nicholas J. Lucarelli, Donghwan Yun, Dohyun Han, Brandon Ginley, Kyung Chul Moon, Avi Rosenberg, John Tomaszewski, Seung Seok Han, Pinaki Sarder:
Computational integration of renal histology and urinary proteomics using neural networks. Digital and Computational Pathology 2022 - Brendon Lutnick, David Manthey, Jan U. Becker, Jonathan E. Zuckerman, Luis Rodrigues, Kuang Yu Jen, Pinaki Sarder:
A cloud-based tool for federated segmentation of whole slide images. Digital and Computational Pathology 2022 - Ling Ma
, Armand Rathgeb, Minh Tran, Baowei Fei:
Unsupervised super resolution network for hyperspectral histologic imaging. Digital and Computational Pathology 2022 - Faisal Mahmood:
Data-efficient and multimodal computational pathology. Digital and Computational Pathology 2022 - Kristyna Manousková, Valentin Abadie, Mehdi Ounissi, Gabriel Jimenez, Lev Stimmer, Benoît Delatour, Stanley Durrleman, Daniel Racoceanu:
Tau protein discrete aggregates in Alzheimer's disease: neuritic plaques and tangles detection and segmentation using computational histopathology. Digital and Computational Pathology 2022 - Matthew McNeil, Cem Anil, Anne L. Martel:
Sparse capsule networks for informative representation learning in digital pathology. Digital and Computational Pathology 2022 - Seyed Hossein Mirjahanmardi, Melanie Dawe, Anthony Fyles, Wei Shi, Fei-Fei Liu, Susan Done, April Khademi:
Preserving dense features for Ki67 nuclei detection. Digital and Computational Pathology 2022 - Shayan Monabbati, Paula Toro, Kaustav Bera, Pingfu Fu, Sylvia A. Lou, Anant Madabhushi:
Quantitative histomorphometric features of tumor nuclei are prognostic of disease-free survival in papillary thyroid carcinoma. Digital and Computational Pathology 2022 - David Morrison, David Harris-Birtill:
Anonymising pathology data using generative adversarial networks. Digital and Computational Pathology 2022 - Yusuke Murayama, Tohru Sugiyama, Yoshihiko Ogino, Hiroki Furuta, Takaaki Kambara, Koi Kamisono, Tokiya Abe, Katsura Emoto, Akinori Hashiguchi, Yoichi Kajimura, Michiie Sakamoto:
Quantitative evaluation of color difference between actual specimens and whole-slide imaging-scanned images calibrated with commercial color charts. Digital and Computational Pathology 2022 - Huu-Giao Nguyen, Amjad Khan, Heather Dawson, Alessandro Lugli, Inti Zlobec:
Group affinity weakly supervised segmentation from prior selected tissue in colorectal histopathology images. Digital and Computational Pathology 2022 - Kouther Noureddine, Paul Gallagher, Griffin Thomas, Sylvia Lam, Gavin MacAulay, Anna McGuire, John English, Martial Guillaud, Calum MacAulay:
Investigating intra-tumor heterogeneity in non-small cell lung cancer using multiplexed immunohistochemistry and deep learning. Digital and Computational Pathology 2022 - Digant Patel, Pranab Samanta, Ravi Kamble, Nitin Singhal:
RAE-Net: a deep learning system for staging of estrous cycle. Digital and Computational Pathology 2022 - Zhengyao Peng, Chang Bian, Yang Du, Jie Tian:
A deep learning-based computational prediction model for characterizing cellular biomarker distribution in tumor microenvironment. Digital and Computational Pathology 2022 - Laura Quintana, Samuel Ortega, Raquel León, Himar Fabelo, Francisco Javier Balea-Fernández, Esther Sauras, Marylène Lejeune, Ramón Bosch, Carlos López, Gustavo M. Callicó:
In the use of artificial intelligence and hyperspectral imaging in digital pathology for breast cancer cell identification. Digital and Computational Pathology 2022 - Yoni Schirris, Mendel Engelaer, Andreas Panteli, Hugo Mark Horlings, Efstratios Gavves, Jonas Teuwen:
WeakSTIL: weak whole-slide image level stromal tumor infiltrating lymphocyte scores are all you need. Digital and Computational Pathology 2022 - Yiqing Shen:
Personalized stain style transfer layers for distributed histology classification. Digital and Computational Pathology 2022 - Yuxuan Shi, Quan Liu, Jiachen Xu, Zuhayr Asad, Can Cui, Hernán Correa, Yash Choksi, Girish Hiremath, Yuankai Huo:
Eosinophilic esophagitis multi-label feature recognition on whole slide imaging using transfer learning. Digital and Computational Pathology 2022 - Bi Song, Albert Huang, Ming-Chang Liu:
Deep ordinal regression for automatic tumor cellularity assessment from pathological images. Digital and Computational Pathology 2022 - Sudhir Suman, Prateek Prasanna:
Muti-stage attention-based network for brain tumor subtype classification. Digital and Computational Pathology 2022 - Thomas E. Tavolara, Arijit Dutta, Martin V. Burks, Wei Chen, Wendy L. Frankel, Metin N. Gurcan, M. Khalid Khan Niazi:
Automatic generation of the ground truth for tumor budding using H&E stained slides. Digital and Computational Pathology 2022 - Thomas E. Tavolara, M. Khalid Khan Niazi, Gary Tozbikian, Robert Wesolowski, Metin N. Gurcan:
Predicting HER2 scores from registered HER2 and H&E images. Digital and Computational Pathology 2022 - Minh Ha Tran, Ling Ma, James V. Litter, Amy Y. Chen, Baowei Fei:
Thyroid carcinoma detection on whole histologic slides using hyperspectral imaging and deep learning. Digital and Computational Pathology 2022 - Varun Vasudev, Albert Xthona, Tom Kimpe:
Display systems for digital pathology: what are proper luminance, contrast and resolution settings? Digital and Computational Pathology 2022 - Pierpaolo Vendittelli, Esther M. M. Smeets, Geert J. S. Litjens:
Automatic tumour segmentation in H&E-stained whole-slide images of the pancreas. Digital and Computational Pathology 2022 - Front Matter: Volume 12039. Digital and Computational Pathology 2022
- Tianyuan Yao, Yuzhe Lu, Ruining Deng, Zheyu Zhu, Zuhayr Asad, Haichun Yang, Lee E. Wheless, Agnes B. Fogo, Yuankai Huo:
Self-supervised learning with large-scale web image mining for characterizing glomerular lesions. Digital and Computational Pathology 2022 - Ximing Zhou, Ling Ma, Hasan K. Mubarak, James V. Little, Amy Y. Chen, Larry L. Myers, Baran D. Sumer, Baowei Fei:
Automatic detection of head and neck squamous cell carcinoma on pathologic slides using polarized hyperspectral imaging and deep learning. Digital and Computational Pathology 2022 - Luoting Zhuang, Jana Lipková, Richard Chen, Faisal Mahmood:
Deep learning-based integration of histology, radiology, and genomics for improved survival prediction in glioma patients. Digital and Computational Pathology 2022
