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64 | 64 | list_image: "images/pubpic/atlaspatch.png" |
65 | 65 | highlight: 0 |
66 | 66 |
|
| 67 | +- id: "Yang_arXiv2025_ADPv2" |
| 68 | + title: "ADPv2: A Hierarchical Histological Tissue Type-Annotated Dataset for Potential Biomarker Discovery of Colorectal Disease" |
| 69 | + authors: "Zhiyuan Yang, Kai Li, Sophia Ghamoshi Ramandi, Patricia Brassard, Hakim Khellaf, Vincent Quoc-Huy Trinh, Jennifer Zhang, Lina Chen, Corwyn Rowsell, Sonal Varma, Konstantinos N. Plataniotis, Mahdi S. Hosseini" |
| 70 | + year: 2025 |
| 71 | + status: "published" |
| 72 | + type: "article" |
| 73 | + journal: "Journal of Pathology Informatics" |
| 74 | + pages: "100537" |
| 75 | + url: "https://zenodo.org/records/15307021" |
| 76 | + doi: "10.1016/j.jpi.2025.100537" |
| 77 | + arxiv: "2507.05656" |
| 78 | + list_image: "images/pubpic/adpv2d.png" |
| 79 | + highlight: 0 |
| 80 | + |
| 81 | +- id: "Sharma_arXiv2025_EfficientPromptsVLMs" |
| 82 | + title: "Investigating Zero-Shot Diagnostic Pathology in Vision-Language Models with Efficient Prompt Design" |
| 83 | + authors: "Vineet Sharma, Ahmed Alagha, Hamza Khellaf, Vincent Quoc-Huy Trinh, Mahdi S. Hosseini" |
| 84 | + year: 2025 |
| 85 | + status: "published" |
| 86 | + type: "inproceedings" |
| 87 | + booktitle: "6th International Conference on Deep Learning Theory and Applications (DeLTA 2025)" |
| 88 | + url: "https://link.springer.com/chapter/10.1007/978-3-032-04339-9_17" |
| 89 | + arxiv: "2505.00134" |
| 90 | + doi: "10.1007/978-3-032-04339-9_17" |
| 91 | + list_image: "images/pubpic/efficient_prompts.png" |
| 92 | + highlight: 0 |
| 93 | + |
67 | 94 | - id: "He_IPMI2025_PathTTT" |
68 | 95 | title: "PathTTT: Test-Time Training with Meta-auxiliary Learning for Pathology Image Classification" |
69 | 96 | authors: "Haoyu He, Mahdi S. Hosseini, Yang Wang" |
|
76 | 103 | list_image: "images/pubpic/pathttt.png" |
77 | 104 | highlight: 0 |
78 | 105 |
|
79 | | -- id: "Yang_arXiv2025_ADPv2" |
80 | | - title: "ADPv2: A Hierarchical Histological Tissue Type-Annotated Dataset for Potential Biomarker Discovery of Colorectal Disease" |
81 | | - authors: "Zhiyuan Yang, Kai Li, Sophia Ghamoshi Ramandi, Patricia Brassard, Hakim Khellaf, Vincent Quoc-Huy Trinh, Jennifer Zhang, Lina Chen, Corwyn Rowsell, Sonal Varma, Konstantinos N. Plataniotis, Mahdi S. Hosseini" |
82 | | - year: 2025 |
83 | | - status: "under_review" |
84 | | - type: "article" |
85 | | - journal: "arxiv:2507.05656" |
86 | | - url: "https://zenodo.org/records/15307021" |
87 | | - arxiv: "2507.05656" |
88 | | - list_image: "images/pubpic/adpv2d.png" |
89 | | - highlight: 0 |
90 | | - |
91 | 106 | - id: "Nasiri_arXiv2025_SPARC" |
92 | 107 | title: "SPARC: Concept-Aligned Sparse Autoencoders for Cross-Model, Cross-Modal Interpretability" |
93 | 108 | authors: "Ali Nasiri-Sarvi, Hassan Rivaz, Mahdi S. Hosseini" |
|
114 | 129 | list_image: "images/pubpic/lbmamba.png" |
115 | 130 | highlight: 0 |
116 | 131 |
|
117 | | -- id: "Sharma_arXiv2025_EfficientPromptsVLMs" |
118 | | - title: "Investigating Zero-Shot Diagnostic Pathology in Vision-Language Models with Efficient Prompt Design" |
119 | | - authors: "Vineet Sharma, Ahmed Alagha, Hamza Khellaf, Vincent Quoc-Huy Trinh, Mahdi S. Hosseini" |
120 | | - year: 2025 |
121 | | - status: "published" |
122 | | - type: "inproceedings" |
123 | | - booktitle: "6th International Conference on Deep Learning Theory and Applications (DeLTA 2025)" |
124 | | - url: "https://link.springer.com/chapter/10.1007/978-3-032-04339-9_17" |
125 | | - arxiv: "2505.00134" |
126 | | - doi: "10.1007/978-3-032-04339-9_17" |
127 | | - list_image: "images/pubpic/efficient_prompts.png" |
128 | | - highlight: 0 |
129 | | - |
130 | 132 | - id: "Rostami_arXiv2025_SegmentAnyCrack" |
131 | 133 | title: "Segment Any Crack: Deep Semantic Segmentation Adaptation for Crack Detection" |
132 | 134 | authors: "Ghordsiyeh Rostami, Po-Han Chen, Mahdi S. Hosseini" |
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