- 2022
- Aya Aqeel, Germán Corredor, Vidya Sankar Viswanathan, Chuheng Chen, Mogjan Mokhtari, Pingfu Fu, Joseph E. Willis, Anant Madabhushi:
Computer extracted features of tumor-infiltrating lymphocytes (TILs) architecture are prognostic of progression-free survival in stage III colon cancer. Digital and Computational Pathology 2022 - Deepak Bajhaiya
, Sujatha Narayanan Unni:
Deep learning-enabled classification of gastric ulcers from wireless capsule endoscopic images. Digital and Computational Pathology 2022 - Shunxing Bao, Yucheng Tang, Ho Hin Lee, Riqiang Gao, Qi Yang, Xin Yu, Sophie Chiron, Lori A. Coburn, Keith T. Wilson, Joseph T. Roland, Bennett A. Landman, Yuankai Huo:
Inpainting missing tissue in multiplexed immunofluorescence imaging. Digital and Computational Pathology 2022 - Samuel P. Border, Brandon Ginley, John E. Tomaszewski, Pinaki Sarder:
HistoLens: a generalizable tool for increasing accessibility and interpretability of quantitative analyses in digital pathology. Digital and Computational Pathology 2022 - Michael Brehler, Allison K. Lowman, Samuel Bobholz, Savannah R. Duenweg, Fitzgerald Kyereme, Cassandra Naze, John Sherman, Kenneth A. Iczkowski, Peter S. LaViolette:
An automated approach for annotating Gleason patterns in whole-mount prostate cancer histology using deep learning. Digital and Computational Pathology 2022 - Jon Camp, Gregory Otteson, Jansen Seheult, Min Shi, Dragan Jevremovic, Horatiu Olteanu, Ahmad Nanaa, Aref Al-Kali, Mohamed Salama, David R. Holmes III:
Deep neural network for cell type differentiation in myelodysplastic syndrome diagnosis performs similarly when trained on compensated or uncompensated data. Digital and Computational Pathology 2022 - David R. Chambers, Bradley B. Brimhall, Donald R. Poole Jr., Edward A. Medina:
Cancer cell segmentation for cellularity prediction via a weakly labeled/strongly labeled hybrid convolutional neural network. Digital and Computational Pathology 2022 - Chuheng Chen, Cheng Lu, Joseph E. Willis, Anant Madabhushi:
Identifying the origination of liver metastasis using a hand-crafted computational pathology approach. Digital and Computational Pathology 2022 - Antong Chen, Tosha Shah, Andrew Brown, Haleh Akrami, Albert Swiston, Amir Vajdi, Radha Krishnan, Razvan Cristescu:
Prediction of tumor mutation burden from H&E whole-slide images: a comparison of training strategies with convolutional neural networks. Digital and Computational Pathology 2022 - Alison M. Cheung, Dan Wang, Kela Liu, Sarah Hynes, Ben Wang, Simone Stone, Pamela Ohashi, Martin J. Yaffe:
Spatial analysis of cellular arrangement using quantitative, single-cell imaging of protein multiplexing. Digital and Computational Pathology 2022 - Rakesh Choudhary, Dhadma Balachandran, Jonathan Folmsbee, Jawaria Rahman, Margaret Brandwein-Weber, Scott Doyle:
Automatic flagging of AI segmentation errors in computational pathology. Digital and Computational Pathology 2022 - Salma Dammak, Matthew J. Cecchini, Aaron D. Ward:
Using deep learning to predict tumor mutational burden in lung squamous cell carcinoma from 20 centers. Digital and Computational Pathology 2022 - Junwei Deng, Yiqing Shen, Yi Guo, Jing Ke:
CellSegNet: an adaptive multi-resolution hybrid network for cell segmentation. Digital and Computational Pathology 2022 - Ruining Deng, Haichun Yang, Zuhayr Asad, Zheyu Zhu, Shiru Wang, Lee E. Wheless, Agnes B. Fogo, Yuankai Huo:
Dense multi-object 3D glomerular reconstruction and quantification on 2D serial section whole slide images. Digital and Computational Pathology 2022 - Farzad Fereidouni, Richard M. Levenson:
DUET dual-mode scanning of H&E slides reveals novel contrast. Digital and Computational Pathology 2022 - Farzad Fereidouni, Taryn Morningstar, Alexander Borowsky, Richard M. Levenson:
FIBI: a direct-to-digital microscopy approach for slide-free histology. Digital and Computational Pathology 2022 - Nikolai Fetisov, Lawrence O. Hall, Dmitry B. Goldgof, Matthew B. Schabath:
Survival time prediction from unannotated lung cancer histopathology images. Digital and Computational Pathology 2022 - Jonathan Folmsbee, Scott Doyle, Rakesh Choudhary, Margaret Brandwein-Weber, Jawaria Rahman:
Cloud-based platform for human-in-the-loop re-annotation of whole slide imaging: large scale semantic pathology segmentation. Digital and Computational Pathology 2022 - Yabo Fu, Yang Lei, David M. Schuster, Sagar A. Patel, Jeffrey D. Bradley, Tian Liu, Xiaofeng Yang:
Deformable histopathology-MRI image registration using deep learning. Digital and Computational Pathology 2022 - Alvaro Sandino Garzon, Ruchika Verma, Yijang Chen, David Becerra Tovar, Eduardo Romero Castro, Pallavi Tiwari:
A hierarchical deep learning approach for segmentation of glioblastoma tumor niches on digital histopathology. Digital and Computational Pathology 2022 - Parmida Ghahremani, Arie E. Kaufman:
CrowdDeep: deep-learning from the crowd for nuclei segmentation. Digital and Computational Pathology 2022 - Darshana Govind, Saber Meamardoost, Rabi Yacoub, Rudiyanto Gunawan, John E. Tomaszewski, Pinaki Sarder:
Integrating image analysis with single cell RNA-seq data to study podocyte-specific changes in diabetic kidney disease. Digital and Computational Pathology 2022 - Ahmet Gokberk Gul, Özdemir Çetin, Christoph Reich, Nadine Flinner, Tim Prangemeier, Heinz Koeppl:
Histopathological image classification based on self-supervised vision transformer and weak labels. Digital and Computational Pathology 2022 - Mauro Gwerder, Amjad Khan, Christina Neppl, Inti Zlobec:
Detection of lung cancer metastases in lymph nodes using a multiple instance learning approach. Digital and Computational Pathology 2022 - Wenchao Han, Alison M. Cheung, Dan Wang, Kela Liu, Martin J. Yaffe, Anne L. Martel:
Cell phenotyping using unsupervised clustering on multiplexed fluorescence images of breast cancer tissue specimens. Digital and Computational Pathology 2022 - Chang Hee Han, Jin Tae Kwak:
A hybrid computational pathology method for the detection of perineural invasion junctions. Digital and Computational Pathology 2022 - Laurin Herbsthofer, Barbara Ehall, Martina Tomberger, Barbara Prietl, Thomas R. Pieber, Pablo López-García:
Procedural generation of synthetic multiplex immunohistochemistry images using cell-based image compression and conditional generative adversarial networks. Digital and Computational Pathology 2022 - Saarthak Kapse, Rajarsi Gupta, Prateek Prasanna:
Shape-based tumor microenvironment analysis to differentiate non-small cell lung cancer subtypes: a radio-pathomic study. Digital and Computational Pathology 2022 - Neil Kavthekar, Brandon Ginley, Samuel P. Border, Nicholas J. Lucarelli, Kuang-Yu Jen, Pinaki Sarder:
Automated tubular morphometric visualization for whole kidney biopsy. Digital and Computational Pathology 2022 - Jun Li, Zhiguo Jiang, Yushan Zheng, Haopeng Zhang, Jun Shi, Dingyi Hu, Wei Luo, Zhongmin Jiang, Chenghai Xue:
Weakly supervised histopathological image representation learning based on contrastive dynamic clustering. Digital and Computational Pathology 2022
