Ke Ma

According to our database, Ke Ma authored at least 13 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

SAM-Path: A Segment Anything Model for Semantic Segmentation in Digital Pathology.

Jingwei Zhang, Ke Ma, Saarthak Kapse, Joel H. Saltz, Maria Vakalopoulou, Prateek Prasanna, Dimitris Samaras

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023

Prompt-MIL: Boosting Multi-instance Learning Schemes via Task-Specific Prompt Tuning.

Jingwei Zhang, Saarthak Kapse, Ke Ma, Prateek Prasanna, Joel H. Saltz, Maria Vakalopoulou, Dimitris Samaras

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Precise Location Matching Improves Dense Contrastive Learning in Digital Pathology.

Jingwei Zhang, Saarthak Kapse, Ke Ma, Prateek Prasanna, Maria Vakalopoulou, Joel H. Saltz, Dimitris Samaras

Proceedings of the Information Processing in Medical Imaging, 2023

2022

Crowd-Learning: A Behavior-Based Verification Method in Software-Defined Vehicular Networks With MEC Framework.

Zhong Li, Xueting Yang, Cheng Wang, Ke Ma, Changjun Jiang

IEEE Internet Things J., 2022

Learning From Documents in the Wild to Improve Document Unwarping.

Ke Ma, Sagnik Das, Zhixin Shu, Dimitris Samaras

Proceedings of the SIGGRAPH '22: Special Interest Group on Computer Graphics and Interactive Techniques Conference, Vancouver, BC, Canada, August 7, 2022

Gigapixel Whole-Slide Images Classification Using Locally Supervised Learning.

Jingwei Zhang, Xin Zhang, Ke Ma, Rajarsi Gupta, Joel H. Saltz, Maria Vakalopoulou, Dimitris Samaras

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Predicting the Visual Attention of Pathologists Evaluating Whole Slide Images of Cancer.

Souradeep Chakraborty, Rajarsi Gupta, Ke Ma, Darshana Govind, Pinaki Sarder, Won-Tak Choi, Waqas Mahmud, Eric Yee, Felicia Allard, Beatrice Knudsen, Gregory J. Zelinsky, Joel H. Saltz, Dimitris Samaras

Proceedings of the Medical Optical Imaging and Virtual Microscopy Image Analysis, 2022

Visual Attention Analysis Of Pathologists Examining Whole Slide Images Of Prostate Cancer.

Souradeep Chakraborty, Ke Ma, Rajarsi Gupta, Beatrice Knudsen, Gregory J. Zelinsky, Joel H. Saltz, Dimitris Samaras

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

2021

A Joint Spatial and Magnification Based Attention Framework for Large Scale Histopathology Classification.

Jingwei Zhang, Ke Ma, John S. Van Arnam, Rajarsi Gupta, Joel H. Saltz, Maria Vakalopoulou, Dimitris Samaras

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020

Intrinsic Decomposition of Document Images In-the-Wild.

Sagnik Das, Hassan A. Sial, Ke Ma, Ramón Baldrich, María Vanrell, Dimitris Samaras

Proceedings of the 31st British Machine Vision Conference 2020, 2020

2019

DewarpNet: Single-Image Document Unwarping With Stacked 3D and 2D Regression Networks.

Sagnik Das, Ke Ma, Zhixin Shu, Dimitris Samaras, Roy Shilkrot

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2017

Large-scale Continual Road Inspection: Visual Infrastructure Assessment in the Wild.

Ke Ma, Minh Hoai, Dimitris Samaras

Proceedings of the British Machine Vision Conference 2017, 2017

2016

Texture classification for rail surface condition evaluation.

Ke Ma, Tomas F. Yago Vicente, Dimitris Samaras, Michael Petrucci, Daniel L. Magnus

Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision, 2016