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Journal Articles
- 2021
[j1]Abtin Riasatian, Morteza Babaie, Danial Maleki, Shivam Kalra, Mojtaba Valipour, Sobhan Hemati, Manit Zaveri
, Amir Safarpoor, Sobhan Shafiei, Mehdi Afshari, Maral Rasoolijaberi, Milad Sikaroudi, Mohd Adnan, Sultaan Shah, Charles Choi, Savvas Damaskinos, Clinton J. V. Campbell, Phedias Diamandis, Liron Pantanowitz, Hany Kashani, Ali Ghodsi, Hamid R. Tizhoosh:
Fine-Tuning and training of densenet for histopathology image representation using TCGA diagnostic slides. Medical Image Anal. 70: 102032 (2021)
Conference and Workshop Papers
- 2022
- [c4]Kimia Hemmatirad, Morteza Babaie, Mehdi Afshari, Danial Maleki, Mahjabin Saiadi, Hamid R. Tizhoosh:
Quality Control of Whole Slide Images using the YOLO Concept. ICHI 2022: 282-287 - [c3]Danial Maleki, Hamid R. Tizhoosh:
LILE: Look In-Depth before Looking Elsewhere - A Dual Attention Network using Transformers for Cross-Modal Information Retrieval in Histopathology Archives. MIDL 2022: 879-894 - 2020
- [c2]Danial Maleki, Mehdi Afshari, Morteza Babaie, Hamid R. Tizhoosh:
Ink Marker Segmentation in Histopathology Images Using Deep Learning. ISVC (1) 2020: 359-368 - 2018
- [c1]Danial Maleki, Soheila Nadalian, Mohammad Mahdi Derakhshani, Mohammad Amin Sadeghi:
BlockCNN: A Deep Network for Artifact Removal and Image Compression. CVPR Workshops 2018: 2555-2558
Informal and Other Publications
- 2022
- [i3]Danial Maleki, Hamid R. Tizhoosh:
LILE: Look In-Depth before Looking Elsewhere - A Dual Attention Network using Transformers for Cross-Modal Information Retrieval in Histopathology Archives. CoRR abs/2203.01445 (2022) - 2020
- [i2]Danial Maleki, Mehdi Afshari, Morteza Babaie, Hamid R. Tizhoosh:
Ink Marker Segmentation in Histopathology Images Using Deep Learning. CoRR abs/2010.15865 (2020) - 2018
- [i1]Danial Maleki, Soheila Nadalian, Mohammad Mahdi Derakhshani, Mohammad Amin Sadeghi:
BlockCNN: A Deep Network for Artifact Removal and Image Compression. CoRR abs/1805.11091 (2018)
Coauthor Index
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