医学 AI

SHAMSUL: Systematic Holistic Analysis to investigate Medical Significance Utilizing Local interpretability methods in deep learning for chest radiography pathology prediction

Mahbub Ul Alam, Jaakko Hollmén, Jón Rúnar Baldvinsson, Rahim Rahmani

专题命中 病理影像 ：pathology(title,abstract)；分类 cs.CV、eess.IV

Comments This version contains extensive modifications compared to the previous version. The published version of this article can be obtained using the following link: https://doi.org/10.5617/nmi.10471 Code Repository: https://github.com/anondo1969/SHAMSUL

Journal ref Nordic Machine Intelligence, Volume 3, Pages 27-47, Year 2023

Artifact-Robust Graph-Based Learning in Digital Pathology

Saba Heidari Gheshlaghi, Milan Aryal, Nasim Yahyasoltani, Masoud Ganji

专题命中 病理影像 ：pathology(title)；diagnosis(abstract)；分类 cs.CV、eess.IV

Digitization of Pathology Labs: A Review of Lessons Learned

Lars Ole Schwen, Tim-Rasmus Kiehl, Rita Carvalho, Norman Zerbe, André Homeyer

专题命中 病理影像 ：pathology(title,abstract)；分类 cs.CV、eess.IV

Comments 22 pages, 1 figure; corrected typo

SC-MIL: Supervised Contrastive Multiple Instance Learning for Imbalanced Classification in Pathology

Dinkar Juyal, Siddhant Shingi, Syed Ashar Javed, Harshith Padigela, Chintan Shah, Anand Sampat, Archit Khosla, John Abel, Amaro Taylor-Weiner

专题命中 病理影像 ：pathology(title,abstract)；分类 cs.CV、cs.LG

Anatomy-Driven Pathology Detection on Chest X-rays

Philip Müller, Felix Meissen, Johannes Brandt, Georgios Kaissis, Daniel Rueckert

专题命中 病理影像 ：pathology(title,abstract)；分类 cs.CV、cs.LG

Comments Accepted at MICCAI 2023

Mapping the landscape of histomorphological cancer phenotypes using self-supervised learning on unlabeled, unannotated pathology slides

Adalberto Claudio Quiros, Nicolas Coudray, Anna Yeaton, Xinyu Yang, Bojing Liu, Hortense Le, Luis Chiriboga, Afreen Karimkhan, Navneet Narula, David A. Moore, Christopher Y. Park, Harvey Pass, Andre L. Moreira, John Le Quesne, Aristotelis Tsirigos, Ke Yuan

专题命中 病理影像 ：pathology(title)；diagnosis(abstract)；分类 cs.CV、cs.LG

High-performance Data Management for Whole Slide Image Analysis in Digital Pathology

Haoju Leng, Ruining Deng, Shunxing Bao, Dazheng Fang, Bryan A. Millis, Yucheng Tang, Haichun Yang, Xiao Wang, Yifan Peng, Lipeng Wan, Yuankai Huo

专题命中 病理影像 ：pathology(title,abstract)；分类 cs.CV、eess.IV

Multi-scale Multi-site Renal Microvascular Structures Segmentation for Whole Slide Imaging in Renal Pathology

Franklin Hu, Ruining Deng, Shunxing Bao, Haichun Yang, Yuankai Huo

专题命中 病理影像 ：pathology(title,abstract)；分类 cs.CV、eess.IV

Synthetic DOmain-Targeted Augmentation (S-DOTA) Improves Model Generalization in Digital Pathology

Sai Chowdary Gullapally, Yibo Zhang, Nitin Kumar Mittal, Deeksha Kartik, Sandhya Srinivasan, Kevin Rose, Daniel Shenker, Dinkar Juyal, Harshith Padigela, Raymond Biju, Victor Minden, Chirag Maheshwari, Marc Thibault, Zvi Goldstein, Luke Novak, Nidhi Chandra, Justin Lee, Aaditya Prakash, Chintan Shah, John Abel, Darren Fahy, Amaro Taylor-Weiner, Anand Sampat

专题命中 病理影像 ：pathology(title,abstract)；分类 cs.CV、cs.LG

SCPAT-GAN: Structural Constrained and Pathology Aware Convolutional Transformer-GAN for Virtual Histology Staining of Human Coronary OCT images

Xueshen Li, Hongshan Liu, Xiaoyu Song, Brigitta C. Brott, Silvio H. Litovsky, Yu Gan

专题命中 病理影像 ：pathology(title,abstract)；分类 cs.CV、eess.IV

Comments 9 pages, 4 figures

MUVF-YOLOX: A Multi-modal Ultrasound Video Fusion Network for Renal Tumor Diagnosis

Junyu Li, Han Huang, Dong Ni, Wufeng Xue, Dongmei Zhu, Jun Cheng

专题命中 病理影像 ：diagnosis(title,abstract)；分类 cs.CV、eess.IV

Comments MICCAI 2023

Structured State Space Models for Multiple Instance Learning in Digital Pathology

Leo Fillioux, Joseph Boyd, Maria Vakalopoulou, Paul-Henry Cournède, Stergios Christodoulidis

专题命中 病理影像 ：pathology(title,abstract)；分类 cs.CV、cs.LG

Evolutionary Computation in Action: Feature Selection for Deep Embedding Spaces of Gigapixel Pathology Images

Azam Asilian Bidgoli, Shahryar Rahnamayan, Taher Dehkharghanian, Abtin Riasatian, H. R. Tizhoosh

专题命中 病理影像 ：pathology(title,abstract)；分类 cs.CV、cs.LG

Journal ref IEEE Transactions on Evolutionary Computation, vol. 27, no. 1, pp. 52-66, Feb. 2023

Benchmarking Self-Supervised Learning on Diverse Pathology Datasets

Mingu Kang, Heon Song, Seonwook Park, Donggeun Yoo, Sérgio Pereira

专题命中 病理影像 ：pathology(title,abstract)；分类 cs.CV、cs.LG

Comments Accepted to CVPR 2023

Bi-parametric prostate MR image synthesis using pathology and sequence-conditioned stable diffusion

Shaheer U. Saeed, Tom Syer, Wen Yan, Qianye Yang, Mark Emberton, Shonit Punwani, Matthew J. Clarkson, Dean C. Barratt, Yipeng Hu

专题命中 病理影像 ：pathology(title,abstract)；分类 cs.CV、eess.IV

Comments Accepted at MIDL 2023 (The Medical Imaging with Deep Learning conference, 2023)

From slides (through tiles) to pixels: an explainability framework for weakly supervised models in pre-clinical pathology

Marco Bertolini, Van-Khoa Le, Jake Pencharz, Andreas Poehlmann, Djork-Arné Clevert, Santiago Villalba, Floriane Montanari

专题命中 病理影像 ：pathology(title,abstract)；分类 cs.CV、cs.LG

Comments 18 pages, 9 figures

An Aggregation of Aggregation Methods in Computational Pathology

Mohsin Bilal, Robert Jewsbury, Ruoyu Wang, Hammam M. AlGhamdi, Amina Asif, Mark Eastwood, Nasir Rajpoot

专题命中 病理影像 ：pathology(title,abstract)；分类 cs.CV、cs.LG

Comments 32 pages, 4 figures

Computational pathology in renal disease: a comprehensive perspective

Manuel Cossio

专题命中 病理影像 ：pathology(title,abstract)；分类 cs.CV、eess.IV

Comments 10 pages, 7 figures and 3 tables

Breaking with Fixed Set Pathology Recognition through Report-Guided Contrastive Training

Constantin Seibold, Simon Reiß, M. Saquib Sarfraz, Rainer Stiefelhagen, Jens Kleesiek

专题命中 病理影像 ：pathology(title)；diagnosis(abstract)；分类 cs.CV、cs.LG

Comments Provisionally Accepted at MICCAI2022

Omni-Seg: A Single Dynamic Network for Multi-label Renal Pathology Image Segmentation using Partially Labeled Data

Ruining Deng, Quan Liu, Can Cui, Zuhayr Asad, Haichun Yang, Yuankai Huo

专题命中 病理影像 ：pathology(title,abstract)；分类 cs.CV、eess.IV

Longitudinal Self-Supervision for COVID-19 Pathology Quantification

Tobias Czempiel, Coco Rogers, Matthias Keicher, Magdalini Paschali, Rickmer Braren, Egon Burian, Marcus Makowski, Nassir Navab, Thomas Wendler, Seong Tae Kim

专题命中 病理影像 ：pathology(title)；CT(abstract)；分类 cs.CV、eess.IV

Comments 10 pages, 3 figures

Is it Possible to Predict MGMT Promoter Methylation from Brain Tumor MRI Scans using Deep Learning Models?

Numan Saeed, Shahad Hardan, Kudaibergen Abutalip, Mohammad Yaqub

专题命中 病理影像 ：MRI(title,abstract)；分类 cs.CV、eess.IV

Evaluating Generic Auto-ML Tools for Computational Pathology

Lars Ole Schwen, Daniela Schacherer, Christian Geißler, André Homeyer

专题命中 病理影像 ：pathology(title,abstract)；分类 cs.CV、eess.IV

Journal ref Informatics in Medicine Unlocked 29 (2022) 100853

Brain Cancer Survival Prediction on Treatment-na ive MRI using Deep Anchor Attention Learning with Vision Transformer

Xuan Xu, Prateek Prasanna

专题命中 病理影像 ：MRI(title,abstract)；分类 cs.CV、eess.IV

REET: Robustness Evaluation and Enhancement Toolbox for Computational Pathology

Alex Foote, Amina Asif, Nasir Rajpoot, Fayyaz Minhas

专题命中 病理影像 ：pathology(title,abstract)；分类 cs.CV、cs.LG

EMT-NET: Efficient multitask network for computer-aided diagnosis of breast cancer

Jiaqiao Shi, Aleksandar Vakanski, Min Xian, Jianrui Ding, Chunping Ning

专题命中 病理影像 ：diagnosis(title,abstract)；分类 cs.CV、eess.IV

Unsupervised Image to Image Translation for Multiple Retinal Pathology Synthesis in Optical Coherence Tomography Scans

Hemanth Pasupuleti, G. N. Girish

专题命中 病理影像 ：pathology(title,abstract)；分类 cs.CV、eess.IV

Robust Interactive Semantic Segmentation of Pathology Images with Minimal User Input

Mostafa Jahanifar, Neda Zamani Tajeddin, Navid Alemi Koohbanani, Nasir Rajpoot

专题命中 病理影像 ：pathology(title,abstract)；分类 cs.CV、eess.IV

A QuadTree Image Representation for Computational Pathology

Rob Jewsbury, Abhir Bhalerao, Nasir Rajpoot

专题命中 病理影像 ：pathology(title,abstract)；分类 cs.CV、cs.LG

Comments 11 pages, 5 figures, accepted to CDPath ICCV 2021

HistoCartography: A Toolkit for Graph Analytics in Digital Pathology

Guillaume Jaume, Pushpak Pati, Valentin Anklin, Antonio Foncubierta, Maria Gabrani

专题命中 病理影像 ：pathology(title,abstract)；分类 cs.CV、eess.IV