Profile

Philip Chikontwe

Research Fellow @ Yu Lab | Harvard Medical School, Harvard University

Featured Publications

FR-MIL: Distribution Re-calibration based Multiple Instance Learning with Transformer for Whole Slide Image Classification

Philip Chikontwe, Meejeong Kim, Jaehoon Jeong, Hyun Jung Sung, Heounjeong Go, Soo Jeong Nam, Sang Hyun Park

IEEE Transactions on Medical Imaging, 2024

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Low-Shot Prompt Tuning for Multiple Instance Learning Based Histology Classification

Philip Chikontwe, Myeongkyun Kang, Miguel Luna, Siwoo Nam, Sang Hyun Park

MICCAI, 2024

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Dual Attention Multiple Instance Learning with Unsupervised Complementary Loss for COVID-19 Screening

Philip Chikontwe, Miguel Luna, Myeongkyun Kang, Kyung Soo Hong, June Hong Ahn, and Sang Hyun Park

Medical Image Analysis, 2021

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Weakly Supervised Segmentation on Neural Compressed Histopathology with Self-Equivariant Regularization

Philip Chikontwe, Hyun Jung Sung, Jaehoon Jong, Meejeong Kim, Heoungjeong Go, Soo Jeong Nam, and Sang Hyun Park

Medical Image Analysis, 2022

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Select Publications

Google Scholar Profile

2023

Structure-preserving image translation for multi-source medical image domain adaptation

Kang, Myeongkyun, Philip Chikontwe, Donkyu Won, Miguel Luna, and Sang Hyun Park

Pattern Recognition

Dual Attention Relation Network With Fine-Tuning for Few-Shot EEG Motor Imagery Classification

An, Sion, Soopil Kim, Philip Chikontwe, and Sang Hyun Park

IEEE Transactions on Neural Networks and Learning Systems

Uncertainty-aware semi-supervised few shot segmentation

Soopil Kim, Philip Chikontwe, Sion An and Sang Hyun Park

Pattern Recognition

2022

Weakly Supervised Segmentation on Neural Compressed Histopathology with Self-Equivariant Regularization

Philip Chikontwe, Hyun Jung Sung, Jaehoon Jong, Meejeong Kim, Heoungjeong Go, Soo Jeong Nam, and Sang Hyun Park

Medical Image Analysis

2021

Transformation guided representation GAN for pose-invariant face recognition

Philip Chikontwe, Yongbin Gao, and Hyo Jong Lee

Multidimensional Systems and Signal Processing

Dual Attention Multiple Instance Learning with Unsupervised Complementary Loss for COVID-19 Screening

Philip Chikontwe, Miguel Luna, Myeongkyun Kang, Kyung Soo Hong, June Hong Ahn, and Sang Hyun Park

Medical Image Analysis