Artificial Intelligence for Digital and Computational Pathology

13 December 2023

Andrew H. Song

Guillaume Jaume

Drew F. K. Williamson

Papers citing "Artificial Intelligence for Digital and Computational Pathology"

32 / 32 papers shown

Title
ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification Jiangbo Shi Chen Li Tieliang Gong Yefeng Zheng Huazhu Fu VLM 120 9 0 12 Feb 2025
HistoSmith: Single-Stage Histology Image-Label Generation via Conditional Latent Diffusion for Enhanced Cell Segmentation and Classification V. Vadori Jean-Marie Graic A. Peruffo L. Finos Ujwala Kiran Chaudhari Enrico Grisan DiffM MedIm 119 0 0 12 Feb 2025
SlideChat: A Large Vision-Language Assistant for Whole-Slide Pathology Image Understanding Ying Chen Guoan Wang Yuanfeng Ji Yanjun Li Jin Ye Tianbin Li Bin Zhang Nana Pei Rongshan Yu Yu Qiao VLM LM&MA 80 4 0 15 Oct 2024
Interpretable Vision-Language Survival Analysis with Ordinal Inductive Bias for Computational Pathology Pei Liu Luping Ji Jiaxiang Gou Bo Fu Mao Ye 98 2 0 14 Sep 2024
Scaling Vision Transformers to Gigapixel Images via Hierarchical Self-Supervised Learning Richard J. Chen Chengkuan Chen Yicong Li Tiffany Y. Chen A. Trister Rahul G. Krishnan Faisal Mahmood ViT MedIm 61 414 0 06 Jun 2022
Mitosis domain generalization in histopathology images -- The MIDOG challenge Marc Aubreville N. Stathonikos C. Bertram Robert Klopleisch N. T. ter Hoeve ... A. Khademi Sen Yang Xiyue Wang M. Veta Katharina Breininger 46 95 0 06 Apr 2022
Flowformer: Linearizing Transformers with Conservation Flows Haixu Wu Jialong Wu Jiehui Xu Jianmin Wang Mingsheng Long 39 91 0 13 Feb 2022
Deep Learning-based Frozen Section to FFPE Translation Kutsev Bengisu Ozyoruk Sermet Can Guliz Irem Gokceler K. Başak D. Demir ... Tiffany Y. Chen Drew F. K. Williamson F. Yılmaz Faisal Mahmood Mehmet Turan 76 8 0 25 Jul 2021
TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classification Zhucheng Shao Hao Bian Yang Chen Yifeng Wang Jian Zhang Xiangyang Ji Yongbing Zhang ViT MedIm 59 650 0 02 Jun 2021
Learning Whole-Slide Segmentation from Inexact and Incomplete Labels using Tissue Graphs Valentin Anklin Pushpak Pati Guillaume Jaume Behzad Bozorgtabar Antonio Foncubierta-Rodríguez Jean-Philippe Thiran M. Sibony M. Gabrani O. Goksel 73 38 0 04 Mar 2021
Self supervised contrastive learning for digital histopathology Ozan Ciga Tony Xu Anne L. Martel SSL 131 311 0 27 Nov 2020
Quantifying Explainers of Graph Neural Networks in Computational Pathology Guillaume Jaume Pushpak Pati Behzad Bozorgtabar Antonio Foncubierta-Rodríguez Florinda Feroce A. Anniciello T. Rau Jean-Philippe Thiran M. Gabrani O. Goksel FAtt 42 76 0 25 Nov 2020
Interpretable Survival Prediction for Colorectal Cancer using Deep Learning Ellery Wulczyn David F. Steiner M. Moran M. Plass Robert Reihs ... Zhaoyang Xu Yun-Hui Liu Martin C. Stumpe K. Zatloukal C. Mermel 112 157 0 17 Nov 2020
Dual-stream Multiple Instance Learning Network for Whole Slide Image Classification with Self-supervised Contrastive Learning Bin Li Yin Li K. Eliceiri 51 607 0 17 Nov 2020
Contrastive Learning for Unpaired Image-to-Image Translation Taesung Park Alexei A. Efros Richard Y. Zhang Jun-Yan Zhu SSL 67 1,202 0 30 Jul 2020
Divide-and-Rule: Self-Supervised Learning for Survival Analysis in Colorectal Cancer C. Abbet I. Zlobec Behzad Bozorgtabar Jean-Philippe Thiran OOD 26 56 0 07 Jul 2020
Deep Learning-based Computational Pathology Predicts Origins for Cancers of Unknown Primary Ming Y. Lu Melissa Zhao Maha Shady Jana Lipkova Tiffany Y. Chen Drew F. K. Williamson Faisal Mahmood MedIm 91 480 0 24 Jun 2020
Pathomic Fusion: An Integrated Framework for Fusing Histopathology and Genomic Features for Cancer Diagnosis and Prognosis Richard J. Chen Ming Y. Lu Jingwen Wang Drew F. K. Williamson S. Rodig N. Lindeman Faisal Mahmood 57 405 0 18 Dec 2019
Deep Ensembles: A Loss Landscape Perspective Stanislav Fort Huiyi Hu Balaji Lakshminarayanan OOD UQCV 69 624 0 05 Dec 2019
Learning Permutation Invariant Representations using Memory Networks Shivam Kalra Mohammed Adnan Graham W. Taylor Hamid Tizhoosh 32 24 0 18 Nov 2019
CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images Yanning Zhou S. Graham Navid Alemi Koohbanani Muhammad Shaban Pheng-Ann Heng Nasir M. Rajpoot MedIm 58 173 0 03 Sep 2019
Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images Muhammad Shaban Ruqayya Awan M. Fraz A. Azam David R. J. Snead Nasir M. Rajpoot MedIm 38 139 0 22 Jul 2019
Automated Gleason Grading of Prostate Biopsies using Deep Learning W. Bulten H. Pinckaers H. V. van Boven R. Vink Thomas de Bel Bram van Ginneken J. A. van der Laak C. Hulsbergen–van de Kaa G. Litjens 85 450 0 18 Jul 2019
Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology David Tellez G. Litjens Péter Bándi W. Bulten J. Bokhorst F. Ciompi Jeroen van der Laak MedIm OOD 37 478 0 18 Feb 2019
Whole-Slide Mitosis Detection in H&E Breast Histology Using PHH3 as a Reference to Train Distilled Stain-Invariant Convolutional Networks David Tellez M. Balkenhol I. Otte-Höller Rob van de Loo R. Vogels ... S. Mol N. Karssemeijer G. Litjens J. A. van der Laak F. Ciompi 42 244 0 17 Aug 2018
Epithelium segmentation using deep learning in H&E-stained prostate specimens with immunohistochemistry as reference standard W. Bulten Péter Bándi Jeffrey Hoven Rob van de Loo J. Lotz Nick Weiss Jeroen van der Laak Bram van Ginneken C. Hulsbergen–van de Kaa G. Litjens 34 149 0 17 Aug 2018
BACH: Grand Challenge on Breast Cancer Histology Images Guilherme Aresta Teresa Araújo S. Kwok Sai Saketh Chennamsetty P. MohammedSafwanK. ... L. Boulmane A. Campilho C. Eloy A. Polónia Paulo Aguiar 194 563 0 13 Aug 2018
Deep Semi Supervised Generative Learning for Automated PD-L1 Tumor Cell Scoring on NSCLC Tissue Needle Biopsies A. Kapil A. Meier A. Zuraw K. Steele Marlon Rebelatto Gunter Schmidt N. Brieu 26 91 0 28 Jun 2018
Towards the Augmented Pathologist: Challenges of Explainable-AI in Digital Pathology Andreas Holzinger Bernd Malle Peter Kieseberg P. Roth Heimo Muller Robert Reihs K. Zatloukal 30 91 0 18 Dec 2017
Deep-Learning for Classification of Colorectal Polyps on Whole-Slide Images Bruno Korbar Andrea M. Olofson Allen P. Miraflor Katherine M. Nicka M. Suriawinata Lorenzo Torresani A. Suriawinata Saeed Hassanpour MedIm 41 277 0 05 Mar 2017
Axiomatic Attribution for Deep Networks Mukund Sundararajan Ankur Taly Qiqi Yan OOD FAtt 115 5,920 0 04 Mar 2017
Neural Machine Translation by Jointly Learning to Align and Translate Dzmitry Bahdanau Kyunghyun Cho Yoshua Bengio AIMat 388 27,205 0 01 Sep 2014