Low-altitude Imagery of Unmanned Aerial Vehicles for Radish Monitoring: A Pilot Study

Hyeonjoon Moon , Jin Tae Kwak , Eal Kim , Jin Gwan Ha
대한전자공학회 학술대회 933 -934

2017
Convolutional Neural Networks for Prostate Cancer Detection

Jin Tae Kwak
대한전자공학회 학술대회 598 -599

2017
Methods for Segmentation and Classification of Digital Microscopy Tissue Images

Quoc Dang Vu , Simon Graham , Tahsin Kurc , Minh Nguyen Nhat To
arXiv: Computer Vision and Pattern Recognition

161
2018
Distance ordinal regression loss for an improved nuclei segmentation

Chang Hee Han , Tan Nhu Nhat Doan , Jin Tae Kwak
Medical Imaging 2021: Digital Pathology 11603 1160315

2021
3-D multitask deep neural networks for collateral imaging from dynamic susceptibility contrast-enhanced magnetic resonance perfusion

Hyun Jeong Kim , Hong Gee Roh , Hoang Long Le , Jin Tae Kwak
Medical Imaging 2021: Computer-Aided Diagnosis 11597 1159721

2021
Semi-supervised learning for an improved diagnosis of COVID-19 in CT images.

Misuk Kim , Chang Hee Han , Jin Tae Kwak
PLOS ONE 16 ( 4)

12
2021
Efficient data mining for local binary pattern in texture image analysis

Jin Tae Kwak , Sheng Xu , Bradford J. Wood
Expert Systems With Applications 42 ( 9) 4529 -4539

14
2015
Hover-Net: Simultaneous segmentation and classification of nuclei in multi-tissue histology images.

Simon Graham , Quoc Dang Vu , Shan E Ahmed Raza , Ayesha Azam
Medical Image Analysis 58 101563

430
2019
BACH: Grand challenge on breast cancer histology images.

Guilherme Aresta , Teresa Araújo , Scotty Kwok , Sai Saketh Chennamsetty
Medical Image Analysis 56 122 -139

398
2019
Deep convolution and up-convolution network for plant segmentation

Eal Kim , Suhyeon Im , O New Lee , Han Yong Park
2018 International Conference on Electronics, Information, and Communication (ICEIC)

1
2018
Improving Dense Pixelwise Prediction of Epithelial Density Using Unsupervised Data Augmentation for Consistency Regularization

Minh Nguyen Nhat To , Sandeep Sankineni , Sheng Xu , Baris Turkbey
medical image computing and computer assisted intervention 572 -581

2020
PAIP 2019: Liver cancer segmentation challenge.

Yoo Jung Kim , Hyungjoon Jang , Kyoungbun Lee , Seongkeun Park
Medical Image Analysis 67 101854 -101854

38
2021
A Multi-Organ Nucleus Segmentation Challenge

Neeraj Kumar , Ruchika Verma , Deepak Anand , Yanning Zhou
IEEE Transactions on Medical Imaging 39 ( 5) 1380 -1391

203
2020
Learning from Noisy Label Statistics: Detecting High Grade Prostate Cancer in Ultrasound Guided Biopsy

Shekoofeh Azizi , Pingkun Yan , Amir Tahmasebi , Peter Pinto
medical image computing and computer assisted intervention 21 -29

5
2018
Deep convolutional neural network for classifying Fusarium wilt of radish from unmanned aerial vehicles

Jin Gwan Ha , Hyeonjoon Moon , Jin Tae Kwak , Syed Ibrahim Hassan
Journal of Applied Remote Sensing 11 ( 04) 042621

86
2017
Is visual registration equivalent to semiautomated registration in prostate biopsy

Jin Tae Kwak , Cheng William Hong , Peter A. Pinto , Molly Williams
BioMed Research International 2015 394742 -394742

15
2015
Improving Prediction of Prostate Cancer Recurrence using Chemical Imaging

Jin Tae Kwak , André Kajdacsy-Balla , Virgilia Macias , Michael Walsh
Scientific Reports 5 ( 1) 8758 -8758

41
2015
Ultrasound-Based Detection of Prostate Cancer Using Automatic Feature Selection with Deep Belief Networks

Shekoofeh Azizi , Farhad Imani , Bo Zhuang , Amir Tahmasebi
medical image computing and computer assisted intervention 70 -77

24
2015
Classifying Cancer Grades Using Temporal Ultrasound for Transrectal Prostate Biopsy

Shekoofeh Azizi , Farhad Imani , Jin Tae Kwak , Amir Tahmasebi
medical image computing and computer assisted intervention 653 -661

8
2016
Augmenting MRI-transrectal ultrasound-guided prostate biopsy with temporal ultrasound data: a clinical feasibility study.

Farhad Imani , Bo Zhuang , Amir Tahmasebi , Jin Tae Kwak
computer assisted radiology and surgery 10 ( 6) 727 -735

11
2015