Philip Chikontwe 个人学术档案

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Sang Hyun ParkDaegu Gyeongbuk Institute of Science & Technology, South Korea在 dgist.ac.kr 的电子邮件经过验证
Soopil KimDGIST在 dgist.ac.kr 的电子邮件经过验证
Sion AnPh.D. Candidate, Department of Robotics and Mechatronics Engineering, DGIST在 dgist.ac.kr 的电子邮件经过验证
Myeongkyun KangPhD Candidate, DGIST在 dgist.ac.kr 的电子邮件经过验证
Miguel LunaMachine Learning Researcher, DGIST在 dgist.ac.kr 的电子邮件经过验证
Kyung Soo Hong영남대학교의료원 호흡기알레르기내과 임상교수在 ymc.yu.ac.kr 的电子邮件经过验证
June Hong AhnCollege of Medicine, Yeungnam University, Daegu, South Korea在 yu.ac.kr 的电子邮件经过验证
Hyo Jong LeeChonbuk National University, Computer Science在 chonbuk.ac.kr 的电子邮件经过验证
Ihsan UllahDaegu Gyeongbuk Institute of Science & Technology, South Korea在 dgist.ac.kr 的电子邮件经过验证
Dong Kyu WonDaegu Gyeongbuk Institute of Science & Technology, South Korea在 dgist.ac.kr 的电子邮件经过验证
Euijin JungDaegu Gyeongbuk Institute of Science and Technology在 dgist.ac.kr 的电子邮件经过验证
Jaehoon JeongDGIST在 dgist.ac.kr 的电子邮件经过验证
Dinggang ShenProf. and Founding Dean, School of BME, ShanghaiTech University; Co-CEO, United Imaging Intelligence在 shanghaitech.edu.cn 的电子邮件经过验证
Weili LinDirector and Professor, Biomedical Research Imaging Center, University of North Carolina at Chapel在 med.unc.edu 的电子邮件经过验证
Xiaopeng ZongAssistant Professor, ShanghaiTech University在 shanghaitech.edu.cn 的电子邮件经过验证
Jong Geol Jang영남대학교 내과학 교수在 ynu.ac.kr 的电子邮件经过验证
Kilian M. PohlProfessor, Department of Psychiatry and (by courtesy) Electrical Engineering, Stanford University在 stanford.edu 的电子邮件经过验证
Ehsan AdeliStanford University在 stanford.edu 的电子邮件经过验证
Yongbin GaoAssociate Professor of Shanghai University of Engineering Science在 sues.edu.cn 的电子邮件经过验证
Hongsoo Choi, Ph. D.Professor, Department of Robotics and Mechatronics Engineering, DGIST在 dgist.ac.kr 的电子邮件经过验证

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Philip Chikontwe

Research Fellow, Harvard Medical School, Harvard University

在 hms.harvard.edu 的电子邮件经过验证 - 首页

Medical Image Processing Weakly Supervised Learning Representation Learning


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Multiple instance learning with center embeddings for histopathology classification P Chikontwe, M Kim, SJ Nam, H Go, SH Park Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020	115	2020
Few-Shot Relation Learning with Attention for EEG-based Motor Imagery Classification S An, S Kim, P Chikontwe, SH Park IROS, 2020	48	2020
Cad: Co-adapting discriminative features for improved few-shot classification P Chikontwe, S Kim, SH Park Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022	35	2022
Dual Attention Multiple Instance Learning with Unsupervised Complementary Loss for COVID-19 Screening P Chikontwe, M Luna, M Kang, KS Hong, JH Ahn, SH Park https://www.medrxiv.org/content/10.1101/2020.09.14.20194654v1, 2020	35	2020
Bidirectional RNN-based Few Shot Learning for 3D Medical Image Segmentation S Kim, S An, P Chikontwe, SH Park AAAI, 2021	33	2021
Two-step U-Nets for brain tumor segmentation and random forest with radiomics for survival time prediction S Kim, M Luna, P Chikontwe, SH Park Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2020	31	2020
Enhancement of perivascular spaces using densely connected deep convolutional neural network E Jung, P Chikontwe, X Zong, W Lin, D Shen, SH Park IEEE Access 7, 18382-18391, 2019	26	2019
Deep multi-task network for learning person identity and attributes P Chikontwe, HJ Lee IEEE Access 6, 60801-60811, 2018	21	2018
Quantitative assessment of chest CT patterns in COVID-19 and bacterial pneumonia patients: a deep learning perspective M Kang, KS Hong, P Chikontwe, M Luna, JG Jang, J Park, KC Shin, ... Journal of Korean medical science 36 (5), 2021	20	2021
Real-time Tracking of Guidewire Robot Tips using Deep Convolutional Neural Networks on Successive Localized Frames I ULLAH, P CHIKONTWE, SH PARK IEEE Access, 2019	17	2019
Feature re-calibration based multiple instance learning for whole slide image classification P Chikontwe, SJ Nam, H Go, M Kim, HJ Sung, SH Park International conference on medical image computing and computer-assisted …, 2022	15	2022
Heounjeong Go, and Sang Hyun Park. Multiple instance learning with center embeddings for histopathology classification P Chikontwe, M Kim, SJ Nam International Conference on Medical Image Computing and Computer-Assisted …, 0	15
Uncertainty-aware semi-supervised few shot segmentation S Kim, P Chikontwe, S An, SH Park Pattern Recognition 137, 109292, 2023	10	2023
Dual attention relation network with fine-tuning for few-shot EEG motor imagery classification S An, S Kim, P Chikontwe, SH Park IEEE Transactions on Neural Networks and Learning Systems, 2023	9	2023
Weakly supervised segmentation on neural compressed histopathology with self-equivariant regularization P Chikontwe, HJ Sung, J Jeong, M Kim, H Go, SJ Nam, SH Park Medical Image Analysis 80, 102482, 2022	9	2022
Structure-preserving image translation for multi-source medical image domain adaptation M Kang, P Chikontwe, D Won, M Luna, SH Park Pattern Recognition 144, 109840, 2023	7	2023
Face sketch synthesis using conditional adversarial networks C Philip, LH Jong 2017 International Conference on Information and Communication Technology …, 2017	7	2017
Guidewire tip tracking using U-Net with shape and motion constraints I Ullah, P Chikontwe, SH Park 2019 International Conference on Artificial Intelligence in Information and …, 2019	6	2019
Medical Image Computing and Computer Assisted Intervention-MICCAI 2020-23rd International Conference, Lima, Peru, October 4-8, 2020 P Chikontwe, M Kim, SJ Nam, H Go, SH Park Proceedings, Part V. Springer, 519-528, 2020	5	2020
Synthesize and segment: Towards improved catheter segmentation via adversarial augmentation I Ullah, P Chikontwe, H Choi, CH Yoon, SH Park Applied Sciences 11 (4), 1638, 2021	4	2021

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