Image and Video Processing · Electrical Eng. & Systems
Longitudinal detection of new MS lesions using Deep Learning
Reda Abdellah Kamraoui, Boris Mansencal, José V Manjon, Pierrick Coupé
2022-06-17
Image and Video Processing · Electrical Eng. & Systems
ICPR 2024 Competition on Multiple Sclerosis Lesion Segmentation -- Methods and Results
Alessia Rondinella, Francesco Guarnera, Elena Crispino, Giulia Russo +4
2024-10-11
Computer Vision and Pattern Recognition · Computer Science
Multi-branch Convolutional Neural Network for Multiple Sclerosis Lesion Segmentation
Shahab Aslani, Michael Dayan, Loredana Storelli, Massimo Filippi +3
2019-04-09
Computer Vision and Pattern Recognition · Computer Science
The KiTS21 Challenge: Automatic segmentation of kidneys, renal tumors, and renal cysts in corticomedullary-phase CT
Nicholas Heller, Fabian Isensee, Dasha Trofimova, Resha Tejpaul +41
2023-07-06
Computer Vision and Pattern Recognition · Computer Science
Segmentation of Multiple Sclerosis Lesions across Hospitals: Learn Continually or Train from Scratch?
Enamundram Naga Karthik, Anne Kerbrat, Pierre Labauge, Tobias Granberg +7
2022-10-28
Image and Video Processing · Electrical Eng. & Systems
MixMicrobleed: Multi-stage detection and segmentation of cerebral microbleeds
Marta Girones Sanguesa, Denis Kutnar, Bas H. M. van der Velden, Hugo J. Kuijf
2021-08-29
Computer Vision and Pattern Recognition · Computer Science
Strong Instance Segmentation Pipeline for MMSports Challenge
Bo Yan, Fengliang Qi, Zhuang Li, Yadong Li +1
2022-09-29
Image and Video Processing · Electrical Eng. & Systems
Segmentation of Multiple Myeloma Plasma Cells in Microscopy Images with Noisy Labels
Álvaro García Faura, Dejan Štepec, Tomaž Martinčič, Danijel Skočaj
2021-11-10
Computer Vision and Pattern Recognition · Computer Science
Improving automated multiple sclerosis lesion segmentation with a cascaded 3D convolutional neural network approach
Sergi Valverde, Mariano Cabezas, Eloy Roura, Sandra González-Villà +6
2017-02-17
Computer Vision and Pattern Recognition · Computer Science
Multi-stream Cell Segmentation with Low-level Cues for Multi-modality Images
Wei Lou, Xinyi Yu, Chenyu Liu, Xiang Wan +3
2023-10-24
Computer Vision and Pattern Recognition · Computer Science
Mask the Unknown: Assessing Different Strategies to Handle Weak Annotations in the MICCAI2023 Mediastinal Lymph Node Quantification Challenge
Stefan M. Fischer, Johannes Kiechle, Daniel M. Lang, Jan C. Peeken +1
2024-06-24
Image and Video Processing · Electrical Eng. & Systems
An Accelerated Pipeline for Multi-label Renal Pathology Image Segmentation at the Whole Slide Image Level
Haoju Leng, Ruining Deng, Zuhayr Asad, R. Michael Womick +3
2023-05-25
Computer Vision and Pattern Recognition · Computer Science
Adaptable Segmentation Pipeline for Diverse Brain Tumors with Radiomic-guided Subtyping and Lesion-Wise Model Ensemble
Daniel Capellán-Martín, Abhijeet Parida, Zhifan Jiang, Nishad Kulkarni +5
2026-04-14
Computer Vision and Pattern Recognition · Computer Science
Dermoscopic Image Analysis for ISIC Challenge 2018
Jinyi Zou, Xiao Ma, Cheng Zhong, Yao Zhang
2018-07-25
Image and Video Processing · Electrical Eng. & Systems
Semantic Segmentation Based Quality Control of Histopathology Whole Slide Images
Abhijeet Patil, Garima Jain, Harsh Diwakar, Jay Sawant +3
2025-06-17
Computer Vision and Pattern Recognition · Computer Science
SSL^2: Self-Supervised Learning meets Semi-Supervised Learning: Multiple Sclerosis Segmentation in 7T-MRI from large-scale 3T-MRI
Jiacheng Wang, Hao Li, Han Liu, Dewei Hu +5
2023-03-10
Computer Vision and Pattern Recognition · Computer Science
Enhanced Semantic Segmentation Pipeline for WeatherProof Dataset Challenge
Nan Zhang, Xidan Zhang, Jianing Wei, Fangjun Wang +1
2024-06-10
Image and Video Processing · Electrical Eng. & Systems
Machine Learning Pipeline for Segmentation and Defect Identification from High Resolution Transmission Electron Microscopy Data
C. K. Groschner, Christina Choi, M. C. Scott
2021-07-07
Software Engineering · Computer Science
Making a Pipeline Production-Ready: Challenges and Lessons Learned in the Healthcare Domain
Daniel Angelo Esteves Lawand, Lucas Quaresma Medina Lam, Roberto Oliveira Bolgheroni, Renato Cordeiro Ferreira +2
2025-09-10
Computer Vision and Pattern Recognition · Computer Science
Advances in MetaDL: AAAI 2021 challenge and workshop
Adrian El Baz, Isabelle Guyon, Zhengying Liu, Jan van Rijn +2
2022-02-07
Machine Learning · Computer Science
A Rigorous Machine Learning Analysis Pipeline for Biomedical Binary Classification: Application in Pancreatic Cancer Nested Case-control Studies with Implications for Bias Assessments
Ryan J. Urbanowicz, Pranshu Suri, Yuhan Cui, Jason H. Moore +3
2020-09-10