Medical Image Analysis

Complex Wavelet-Based Transformer for Neurodevelopmental Disorder Diagnosis via Direct Modeling of Real and Imaginary Components

A. Jeong, D.-W. Heo, H.-I. Suk

crossMoDA challenge: Evolution of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation from 2021 to 2023

N. Wijethilake, R. Dorent, M. Ivory, A. Kujawa, S. Cornelissen, P. Langenhuizen, M. Okasha, A. Oviedova, H. Dong, Bogyeong Kang, G. Sallé, L. Han, Z. Zhao, H. Liu, Y. Fan, T. Yang, S. Hardan, H. Alasmawi, S. Sanjeev, Y. Zhuang, S. Kondo,...

Establishing the robustness metric as a scalable proxy for clinical relevance in medical AI explainability

Cho, Daehyun, You, Sung-Hye, Kim, Bo Kyu, Park, Arim, Wallraven, Christian

Isotropic spherical region enlargement and background contraction for sulcal labeling

Seunghwan Lee, Jiwon Son, Seungeun Lee, Ethan H. Willbrand, Benjamin J. Parker, Silvia A. Bunge, Kevin S. Weiner, Ilwoo Lyu

Read like a radiologist: Efficient vision-language model for 3d medical imaging interpretation

C. Lee, S. Park, C. I. Shin, W. H. Choi, H. J. Park, J. E. Lee, Jong Chul Ye

Unsupervised Domain Adaptation for Medical Image Segmentation Using Adaptogen-Perturbation

Hong Joo Lee, Yuan Bi, Sangmin Lee, G.-M. Park, Jung Uk Kim, Seong Tae Kim, Zhongliang Jiang, Nassir Navab

Attend-and-Refine: Interactive Keypoint Estimation and Quantitative Cervical Vertebrae Analysis for Bone Age Assessment

Jinhee Kim, Taesung Kim, Taewoo Kim, Dong-Wook Kim, Byungduk Ahn, Yoon-Ji Kim, In-Seok Song, Jaegul Choo

End-to-end Breast Cancer Radiotherapy Planning via LMMs with Consistency Embedding

End-to-End Breast Cancer Radiotherapy Planning via LMMs with Consistency Embedding

Kwanyoung Kim, Yujin Oh, Sangjoon Park, Hwa Kyung Byun, Joongyo Lee, Jin Sung Kim, Yong Bae Kim, Jong Chul Ye

Improved Unsupervised 3D Lung Lesion Detection and Localization by Fusing Global and Local Features: Validation in 3D Low-Dose Computed Tomography

Ju Hwan Lee, Seong Je Oh, Kyungsu Kim, Chae Yeon Lim, Seung Hong Choi, Myungjin Chung

C-DARL: Contrastive diffusion adversarial representation learning for label-free blood vessel segmentation

Boah Kim, Yujin Oh, Bradford J. Wood, Ronald M. Summers, Jong Chul Ye

C-DARL: Contrastive Diffusion Adversarial Representation Learning for Label-free Blood Vessel Segmentation

Self-supervised Multi-modal Training from Uncurated Image and Reports Enables Zero-shot Oversight Artificial Intelligence in Radiology

Sangjoon Park, Eun Sun Lee, Kyung Sook Shin, Jeong Eun Lee, Jong Chul Ye

TauFlowNet: Revealing latent propagation mechanism of tau aggregates using deep neural transport equations

Tingting Dan, Mustafa Dere, Won Hwa Kim, Minjeong Kim, Guorong Wu

Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge

MISPEL: A supervised deep learning method for harmonizing multi-scanner neuroimaging data

Mahbaneh Eshghzadeh Torbati, Davneet S. Minhas, Charles M. Laymon, Pauline Maillard, James D. Wilson, Chang-Le Chen, Ciprian M. Crainiceanu, Charles S. DeCarli, Seong Jae Hwang, Dana L. Tudorascu

PAIP 2020: Microsatellite Instability Prediction in Colorectal Cancer

K M Kim*, K B Lee*, S D Cho*, D U Kang* et al. (including S Y Chun**)

The Liver Tumor Segmentation Benchmark (LiTS)

Patrick Bilic, Patrick Christ, Hongwei Bran Li, Eugene Vorontsov, Avi Ben-Cohen, Georgios Kaissis, Adi Szeskin, Colin Jacobs, Gabriel Efrain Humpire Mamani, Gabriel Chartrand, Fabian Lohöfer, Julian Walter Holch, Wieland Sommer, Felix Ho...

Tunable Image Quality Control of 3-D Ultrasound using Switchable CycleGAN

Jaeyoung Huh, Shujaat Khan, Sungjin Choi, Dongkuk Shin, Jeong Eun Lee, Eun Sun Lee, Jong Chul Ye