Yeman Brhane Hagos

15 papers Journal 9Unranked 6

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Lung tumor segmentation in MRI mice scans using 3D nnU-Net with minimum annotations. CoRR Piotr Kaniewski, Fariba Yousefi, Yeman Brhane Hagos, Talha Qaiser, Nikolay Burlutskiy
2024	J	`jnl`	MiceBoneChallenge: Micro-CT public dataset and six solutions for automatic growth plate detection in micro-CT mice bone scans. CoRR Nikolay Burlutskiy, Marija Kekic, Jordi de La Torre, Philipp Plewa, Mehdi Boroumand, Julia Jurkowska, Borjan Venovski, Maria Chiara Biagi, Yeman Brhane Hagos, Roksana Malinowska-Traczyk, Yibo Wang, Jacek Zalewski, Paula Sawczuk, Karlo Pintaric, Fariba Yousefi, Leif Hultin
2022	—	`conf`	DCIS AI-TIL: Ductal Carcinoma In Situ Tumour Infiltrating Lymphocyte Scoring Using Artificial Intelligence. AIIIMA/MIABID@MICCAI Yeman Brhane Hagos, Faranak Sobhani, Simon P. Castillo, Allison H. Hall, Khalid AbdulJabbar, Roberto Salgado, Bryan Harmon, Kristalyn Gallagher, Mark Kilgore, Lorraine M. King, Jeffrey R. Marks, Carlo C. Maley, Hugo M. Horlings, Robert B. West, Eun-Sil Shelley Hwang, Yinyin Yuan
2022	—	`conf`	DeepMIF: Deep Learning Based Cell Profiling for Multispectral Immunofluorescence Images with Graphical User Interface. MICCAI (4) Yeman Brhane Hagos, Ayse U. Akarca, Alan Ramsay, Riccardo L. Rossi, Sabine Pomplun, Alessia Moioli, Andrea Gianatti, Christopher Mcnamara, Alessandro Rambaldi, Sergio A. Quezada, David Linch, Giuseppe Gritti, Teresa Marafioti, Yinyin Yuan
2022	—	`conf`	Self-supervised Antigen Detection Artificial Intelligence (SANDI). REMIA@MICCAI Hanyun Zhang, Khalid AbdulJabbar, Tami Grunewald, Ayse U. Akarca, Yeman Brhane Hagos, Catherine S. Y. Lecat, Dominic Patel, Lydia Lee, Manuel Rodriguez-Justo, Kwee Yong, Jonathan A. Ledermann, John Le Quesne, Teresa Marafioti, Yinyin Yuan
2021	—	`conf`	Cell Abundance Aware Deep Learning For Cell Detection On Highly Imbalanced Pathological Data. ISBI Yeman Brhane Hagos, Catherine S. Y. Lecat, Dominic Patel, Lydia Lee, Thien-An Tran, Manuel Rodriguez-Justo, Kwee Yong, Yinyin Yuan
2021	J	`jnl`	Cell abundance aware deep learning for cell detection on highly imbalanced pathological data. CoRR Yeman Brhane Hagos, Catherine S. Y. Lecat, Dominic Patel, Lydia Lee, Thien-An Tran, Manuel Rodriguez-Justo, Kwee Yong, Yinyin Yuan
2019	—	`conf`	ConCORDe-Net: Cell Count Regularized Convolutional Neural Network for Cell Detection in Multiplex Immunohistochemistry Images. MICCAI (1) Yeman Brhane Hagos, Priya Lakshmi Narayanan, Ayse U. Akarca, Teresa Marafioti, Yinyin Yuan
2019	J	`jnl`	ConCORDe-Net: Cell Count Regularized Convolutional Neural Network for Cell Detection in Multiplex Immunohistochemistry Images. CoRR Yeman Brhane Hagos, Priya Lakshmi Narayanan, Ayse U. Akarca, Teresa Marafioti, Yinyin Yuan
2018	J	`jnl`	Activity monitoring and meal tracking for cardiac rehabilitation patients. Int. J. Medical Eng. Informatics Usama Pervaiz, Saed Khawaldeh, Tajwar Abrar Aleef, Vu Minh Hoang, Yeman Brhane Hagos
2018	—	`conf`	Improving Breast Cancer Detection Using Symmetry Information with Deep Learning. RAMBO+BIA+TIA@MICCAI Yeman Brhane Hagos, Albert Gubern-Mérida, Jonas Teuwen
2018	J	`jnl`	Improving Breast Cancer Detection using Symmetry Information with Deep Learning. CoRR Yeman Brhane Hagos, Albert Gubern-Mérida, Jonas Teuwen
2017	J	`jnl`	Complete End-To-End Low Cost Solution To a 3D Scanning System with Integrated Turntable. CoRR Saed Khawaldeh, Tajwar Abrar Aleef, Usama Pervaiz, Vu Minh Hoang, Yeman Brhane Hagos
2017	J	`jnl`	Fast PET Scan Tumor Segmentation using Superpixels, Principal Component Analysis and K-means Clustering. CoRR Yeman Brhane Hagos, Vu H. Minh, Saed Khawaldeh, Usama Pervaiz, Tajwar Abrar Aleef
2017	J	`jnl`	Smoothness-based Edge Detection using Low-SNR Camera for Robot Navigation. CoRR Vu Minh Hoang, Tajwar Abrar Aleef, Usama Pervaiz, Yeman Brhane Hagos, Saed Khawaldeh