NEWS

[NEWS 01/31/2026] We are pleased to share that our paper for the diffusion-based unsupervised annotator has been accepted to ICLR 2026. Huge congratulations to Sanghyun Jo∗, Ziseok Lee∗, and Wooyeol Lee for their outstanding contributions!

[NEWS 01/01/2026] Prof. Kim serves as a program committee (PC) member in Springer Nature's International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD).

[NEWS 01/01/2026] Prof. Kim serves as an academic program committee (PC) member (Biomedical & Core AI) in the Korean Society of Medical & Biological Engineering (KOSOMBE), the leading national society for biomedical engineering.

[NEWS 12/26/2025] We held the AIBL 2026 New Year’s gathering MT (skiing and relaxation). I am deeply honored to work alongside such outstanding AI talents at AIBL. Thank you all for your tremendous dedication and hard work throughout the past year.

[NEWS 11/20/2025] Prof. Kim serves as Area Chair for ICML-2026.

[NEWS 09/06/2025] Prof. Kim delivered a lecture on diffusion-based AI on KBS : https://youtu.be/WUK9gOJgC8k?si=vJTNBLZ5gYitEapJ / https://youtu.be/Cv3MVsgmTGw?si=frtVRLBW1R7JpmmM

[NEWS 10/10/2025] We are pleased to share that our paper for the diffusion-based image editing has been presented/published to ICCV 2025. Huge congratulations to Ziseok Lee∗ and Sanghyun Jo for their outstanding contributions!

[NEWS 10/10/2025] We are pleased to share that our paper for the annotation-free segmentation has been presented/published to ICCV 2025. Huge congratulations to Sanghyun Jo∗, Seo Jin Lee∗, and Seohyung Hong for their outstanding contributions!

[NEWS 09/06/2025] Prof. Kim serves on the Program Committee of AAAI-2026.

[NEWS 08/25/2025] Minhyeong Lee, the founder of Astermorph, has published a technical report presenting the state-of-the-art ASI technique Spacer !

[NEWS 06/15/2025] Our latest molecular generation AI research has been selected for presentation at the ICML GenBio Workshop 2025 — a premier global forum on Generative AI for Biology, featuring participation from Nobel Laureate David Baker. Huge congratulations to Minyeong Hwang* and Ziseok Lee for leading this effort!

[NEWS 06/13/2025] Our lab researcher Sanghyun Jo has been nominated as an Outstanding Reviewer for CVPR 2025. Huge congratulations!

[NEWS 06/05/2025] Our lab researcher Seojin Lee has been awarded the prestigious Presidential Science Scholarship. Huge congratulations!

[NEWS 06/01/2025] We are pleased to share that our paper for multimodal learning has been early accepted to MICCAI 2025 (Top 9% of submissions). Huge congratulations to Junhyun Park*, Chanyu Moon*, and Donghwan Lee for their outstanding contributions!

[NEWS 01/10/2025] We held the AIBL 2025 New Year's gathering. I am deeply honored to have such outstanding AI researchers join AIBL. I will do my best to support them, regardless of their position, in becoming leading researchers who make a significant impact and contribute positively to the world through AI.

[NEWS 12/03/2024] I had the privilege of taking a photo with my esteemed advisors at Harvard, Prof. Synho Do (Harvard Medical School, MGH, and the Kempner AI Institute at Harvard University) and Prof. Manisha Bahl (Harvard Medical School, MGH with Breast Imaging Director). I am delighted to share this photo in our lab with my trainees, as it is a memory I will cherish throughout my lifelong research career.

[NEWS 11/10/2024] One research work has been accepted in ML4H 2024 (finding track)

Seong Je Oh*, Kyungsu Kim*†, Ju Hwan Lee, Chae Yeon Lim, Tae Uk Kim, Myung Jin Chung†, "Enhancing Generative Networks for Chest Anomaly Localization through Automatic Registration-Based Unpaired-to-Pseudo-Paired Training Data Translation"
- Seong Je Oh has led this project as the co-first author (Congratulations!).
- Collaboration with Samsung Medical Center

[NEWS 11/10/2024] Two research works were accepted in RSNA 2024 (12/01/2024)

Kyungsu Kim, Adham Alkhadrawi, Synho Do, Manisha Bahl†, "Preoperative Prediction of Ductal Carcinoma in Situ Upgrade Risk Using Mammographic Imaging" [Oral Presentation]
- Collaboration with MGH and Harvard Medical School & Kempner AI Institute at Harvard University
Kyungsu Kim, Manisha Bahl, Saul Langarica, Synho Do†, "Refining Microcalcification Detection in Full-field Digital Mammography Using Generative AI: Enhanced Accuracy and Reduced False Positives"
- Collaboration with MGH and Harvard Medical School & Kempner AI Institute at Harvard University

[NEWS 10/07/2024] Two papers were published in ECCV 2024

Sanghyun Jo, Fei Pan, In-Jae Yu, Kyungsu Kim† , "DHR: Enhancing Weakly Supervised Semantic Segmentation with Hierarchical Spatial-Class Rebalancing"
- Sanghyun Jo has led this project as the first author (Congratulations!).
- Collaboration with University of Michigan
Sanghyun Jo∗ , Soohyun Ryu∗ , Sungyub Kim, Eunho Yang, Kyungsu Kim† , "TTD: TextTag Distillation For Open-Vocabulary Classification and Segmentation"
- Sanghyun Jo and Soohyun Ryu have led this project as the co-first author (Congratulations!).
- Collaboration with KAIST AI

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