Texture classification for rail surface condition evaluation. - Ke Ma 005; Tomas F. Yago Vicente; Dimitris Samaras; Michael Petrucci; Daniel L. Magnus (WACV, 2016)

Large-scale Continual Road Inspection: Visual Infrastructure Assessment in the Wild. - Ke Ma 005; Minh Hoai; Dimitris Samaras (BMVC, 2017)

DewarpNet: Single-Image Document Unwarping With Stacked 3D and 2D Regression Networks. - Sagnik Das; Ke Ma 005; Zhixin Shu; Dimitris Samaras; Roy Shilkrot (ICCV, 2019)

Intrinsic Decomposition of Document Images In-the-Wild. - Sagnik Das; Hassan A. Sial; Ke Ma 005; Ramón Baldrich; María Vanrell 001; Dimitris Samaras (BMVC, 2020)

A Joint Spatial and Magnification Based Attention Framework for Large Scale Histopathology Classification. - Jingwei Zhang; Ke Ma 005; John S. Van Arnam; Rajarsi Gupta 001; Joel H. Saltz; Maria Vakalopoulou; Dimitris Samaras (CVPR Workshops, 2021)

Visual Attention Analysis Of Pathologists Examining Whole Slide Images Of Prostate Cancer. - Souradeep Chakraborty; Ke Ma 005; Rajarsi Gupta 001; Beatrice Knudsen; Gregory J. Zelinsky; Joel H. Saltz; Dimitris Samaras (ISBI, 2022)

Predicting the Visual Attention of Pathologists Evaluating Whole Slide Images of Cancer. - Souradeep Chakraborty; Rajarsi Gupta 001; Ke Ma 005; Darshana Govind; Pinaki Sarder; Won-Tak Choi; Waqas Mahmud; Eric Yee; Felicia Allard; Beatrice Knudsen; Gregory J. Zelinsky; Joel H. Saltz; et al. (MOVI@MICCAI, 2022)

Gigapixel Whole-Slide Images Classification Using Locally Supervised Learning. - Jingwei Zhang; Xin Zhang; Ke Ma 005; Rajarsi Gupta 001; Joel H. Saltz; Maria Vakalopoulou; Dimitris Samaras (MICCAI (2), 2022)

Learning From Documents in the Wild to Improve Document Unwarping. - Ke Ma 005; Sagnik Das; Zhixin Shu; Dimitris Samaras (SIGGRAPH (Conference Paper Track), 2022)

Crowd-Learning: A Behavior-Based Verification Method in Software-Defined Vehicular Networks With MEC Framework. - Zhong Li; Xueting Yang; Cheng Wang 001; Ke Ma 005; Changjun Jiang (IEEE Internet Things J., 2022)

Precise Location Matching Improves Dense Contrastive Learning in Digital Pathology. - Jingwei Zhang; Saarthak Kapse; Ke Ma 005; Prateek Prasanna; Maria Vakalopoulou; Joel H. Saltz; Dimitris Samaras (IPMI, 2023)

Prompt-MIL: Boosting Multi-instance Learning Schemes via Task-Specific Prompt Tuning. - Jingwei Zhang; Saarthak Kapse; Ke Ma 005; Prateek Prasanna; Joel H. Saltz; Maria Vakalopoulou; Dimitris Samaras (MICCAI (8), 2023)

SAM-Path: A Segment Anything Model for Semantic Segmentation in Digital Pathology. - Jingwei Zhang; Ke Ma 005; Saarthak Kapse; Joel H. Saltz; Maria Vakalopoulou; Prateek Prasanna; Dimitris Samaras (ISIC/Care-AI/MedAGI/DeCaF@MICCAI, 2023)