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조재진 교수

Jae Jin Cho

서울대학교 · 의학

연구실 소개

조재진 교수의 연구실은 음성인식, 의료영상, 생체재료 및 면역학적 메커니즘을 융합한 다학제적 연구를 수행하고 있습니다. 저자원 음성인식 시스템과 전이학습 기반 다국어 음성 모델 개발을 통해 음성처리 기술의 접근성을 높이고 있으며, 음성과 대화 텍스트를 융합한 정서 인식 기술도 개발하고 있습니다. 또한 3D 프린팅 기반 치과 임플란트 재료의 세포 반응과 생체적합성 평가, 그리고 당유전자 수용체(TLR)가 암 진행에 미치는 영향에 대한 기전 연구를 통해 의료신소재와 질병 메커니즘의 통합적 이해를 추구하고 있습니다.

저자원 음성인식3D 프린팅 생체재료정서 인식면역수용체(TLR)간세포 분화 유도제

연구 현황

논문 수
174
총 인용 수
1,602
최근 5년 논문
86
주요 분야
의학

연구 성과 추이

표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.

5개년 연도별 논문 게재 수
86총합
2021
2022
2023
2024
2025
5개년 연도별 피인용 수
314총합
20212022202320242025

주요 논문

15
1
논문|인용수 112·2018
Multilingual Sequence-to-Sequence Speech Recognition: Architecture, Transfer Learning, and Language Modeling
Jaejin Cho, Murali Karthick Baskar, Ruizhi Li, Matthew Wiesner, Sri Harish Mallidi, Nelson Yalta, Martin Karafiát, Shinji Watanabe, Takaaki Hori
FWCI 10.7

Sequence-to-sequence (seq2seq) approach for low-resource ASR is a relatively new direction in speech research. The approach benefits by performing model training without using lexicon and alignments. However, this poses a new problem of requiring more data compared to conventional DNN-HMM systems. In this work, we attempt to use data from 10 BABEL languages to build a multilingual seq2seq model as a prior model, and then port them towards 4 other BABEL languages using transfer learning approach.

Artificial IntelligenceComputer Science
2
논문|인용수 94·2018
Deep Neural Networks for Emotion Recognition Combining Audio and Transcripts
Jaejin Cho, Raghavendra Pappagari, Purva Kulkarni, Jesús Villalba, Yishay Carmiel, Najim Dehak
FWCI 12.9

In this paper, we propose to improve emotion recognition by combining acoustic information and conversation transcripts.On the one hand, a LSTM network was used to detect emotion from acoustic features like f0, shimmer, jitter, MFCC, etc.On the other hand, a multi-resolution CNN was used to detect emotion from word sequences.This CNN consists of several parallel convolutions with different kernel sizes to exploit contextual information at different levels.A temporal pooling layer aggregates the

Experimental and Cognitive PsychologyPsychology
3
논문|인용수 36·2019
Human Stem Cell Responses and Surface Characteristics of 3D Printing Co-Cr Dental Material
Boldbayar Ganbold, Seong‐Joo Heo, Jai‐Young Koak, Seong‐Kyun Kim, Jaejin Cho
SJR Q2FWCI 3.2MaterialsOA

Recently, the selective laser melting (SLM) method of manufacturing three dimensional (3D) dental prosthetics by applying a laser to metal powder has been widely used in the field of dentistry. This study investigated human adipose derived stem cell (hADSC) behavior on a 3D printed cobalt-chrome (Co-Cr) alloy and its surface characteristics and compared them those of a nickel-chrome (Ni-Cr) alloy. Alloys were divided into four groups according to the material and manufacturing methods. Co-Cr dis

OrthodonticsDentistry
4
리뷰|인용수 34·2019
Toll‐like receptors: A pathway alluding to cancer control
Ana Patricia Ayala‐Cuellar, Jaejin Cho, Kyung‐Chul Choi
SJR Q1FWCI 1.5Journal of Cellular Physiology

Toll-like receptors (TLRs) are usually expressed on immune cells such as macrophages, dendritic cells, mast cells, as well as on eosinophils and some epithelial cells. They play a central role in the recognition of harmful molecules that belong to invading microorganisms or internal damaged tissues, which lead to inflammation. Among the hallmarks of cancer, there is immune evasion and inflammation. Summing this with the discovery that a majority of cancers also seem to express TLRs, made researc

ImmunologyImmunology and Microbiology
5
논문|인용수 33·2019
Robust water–fat separation for multi‐echo gradient‐recalled echo sequence using convolutional neural network
Jaejin Cho, HyunWook Park
SJR Q1FWCI 2.0Magnetic Resonance in Medicine

The proposed CNN could obtain water-fat-separated images from the multi-echo images acquired from the bipolar multi-echo gradient-recalled echo sequence, which included artifacts from the bipolar gradients.

Radiology, Nuclear Medicine and ImagingMedicine
6
논문|인용수 22·2012
A potent small-molecule inducer of chondrogenic differentiation of human bone marrow-derived mesenchymal stem cells
Tae Jun Cho, Jonghoon Kim, Soon-Keun Kwon, Keunhee Oh, Jeong Ae Lee, Dong‐Sup Lee, Jaejin Cho, Seung Bum Park
SJR Q1FWCI 2.5Chemical Science

We discovered a novel small-molecule modulator 5{i,2} that can specifically induce the chondrogenic differentiation of human bone marrow-derived mesenchymal stem cells (hBM-MSCs). Based on our biochemical and histological studies, 5{i,2} showed more of a directed differentiation of MSCs to chondrocyte balls compared to TGF-β3.

RheumatologyMedicine
7
논문|인용수 20·2023
Time‐efficient, high‐resolution<scp>3T</scp>whole‐brain relaxometry using<scp>3D‐QALAS</scp>with<scp>wave‐CAIPI</scp>readouts
Jaejin Cho, Borjan Gagoski, Tae Hyung Kim, Fuyixue Wang, Mary Kate Manhard, Douglas Dean, Steven Kecskemeti, Arvind Caprihan, Wei‐Ching Lo, Daniel Splitthoff, Wei Liu, Daniel Polak
SJR Q1FWCI 4.6Magnetic Resonance in Medicine

Three-dimensional QALAS enhanced with wave-CAIPI readouts enables time-efficient, full-brain quantitative T<sub>1</sub> , T<sub>2</sub> , and PD mapping at 1.15 mm<sup>3</sup> in 3 min at R = 3 × 2 acceleration. The quantitative maps obtained from the accelerated wave-CAIPI 3D-QALAS protocol showed very similar values to those from the standard 3D-QALAS (R = 2) protocol, alluding to the robustness and reliability of the proposed method.

Radiology, Nuclear Medicine and ImagingMedicine
8
논문|인용수 20·2022
Estrogen Regulates the Expression and Localization of YAP in the Uterus of Mice
Sohyeon Moon, Ok‐Hee Lee, Byeongseok Kim, Jinju Park, Semi Hwang, Siyoung Lee, Giwan Lee, Hyukjung Kim, Hyuk Song, Kwonho Hong, Jaejin Cho, Youngsok Choi
SJR Q1FWCI 2.3International Journal of Molecular SciencesOA

The dynamics of uterine endometrium is important for successful establishment and maintenance of embryonic implantation and development, along with extensive cell differentiation and proliferation. The tissue event is precisely and complicatedly regulated as several signaling pathways are involved including two main hormones, estrogen and progesterone signaling. We previously showed a novel signaling molecule, Serine/threonine protein kinase 3/4 (STK3/4), which is responded to hormone in the mou

Cell BiologyBiochemistry, Genetics and Molecular Biology
9
논문|인용수 13·2022
Wave-Encoded Model-Based Deep Learning for Highly Accelerated Imaging with Joint Reconstruction
Jaejin Cho, Borjan Gagoski, Tae Hyung Kim, Qiyuan Tian, Robert Frost, Itthi Chatnuntawech, Berkin Bilgic̦
SJR Q2FWCI 1.7BioengineeringOA

A recently introduced model-based deep learning (MoDL) technique successfully incorporates convolutional neural network (CNN)-based regularizers into physics-based parallel imaging reconstruction using a small number of network parameters. Wave-controlled aliasing in parallel imaging (CAIPI) is an emerging parallel imaging method that accelerates imaging acquisition by employing sinusoidal gradients in the phase- and slice/partition-encoding directions during the readout to take better advantage

Radiology, Nuclear Medicine and ImagingMedicine
10
논문|인용수 13·2019
Endothelin-converting enzyme-1 expression in acute and chronic liver injury in fibrogenesis
Tae‐Joon Cho, Hyo-Jung Kim, Jaejin Cho
SJR Q1FWCI 0.8Animal Cells and SystemsOA

Endothelin-1 (ET-1) induces contraction, proliferation, and collagen synthesis of activated hepatic stellate cells and is a potent mediator of portal hypertension. Endothelin-converting enzyme-1 (ECE-1) generates ET-1 from the inactive precursor big-endothelin-1. The cellular distribution and activity of ECE-1 in the liver is unknown. Hepatic fibrogenesis was induced in rats by CCl<sub>4</sub> administration and secondary biliary cirrhosis after 6 weeks of complete bile duct occlusion (BDO). The

PhysiologyMedicine
11
preprint|인용수 11·2021
The JHU submission to VoxSRC-21: Track 3
Jaejin Cho, Jesús Villalba, Najim Dehak
arXiv (Cornell University)OA

This technical report describes Johns Hopkins University speaker recognition system submitted to Voxceleb Speaker Recognition Challenge 2021 Track 3: Self-supervised speaker verification (closed). Our overall training process is similar to the proposed one from the first place team in the last year's VoxSRC2020 challenge. The main difference is a recently proposed non-contrastive self-supervised method in computer vision (CV), distillation with no labels (DINO), is used to train our initial mode

Artificial IntelligenceComputer Science
12
논문|인용수 10·2019
Characterization of canine adipose tissue‐derived mesenchymal stem cells immortalized by SV40‐T retrovirus for therapeutic use
Ana Patricia Ayala‐Cuellar, Cho‐Won Kim, Kyung‐A Hwang, Ji‐Houn Kang, Gabsang Lee, Jaejin Cho, Kyung‐Chul Choi
SJR Q1FWCI 0.9Journal of Cellular Physiology

Canine mesenchymal stem cells (cMSCs) are gaining popularity in the veterinary field as a regenerative therapy. But, their limited culture lifespan makes it an obstacle for preclinical investigation and therapeutic use. In this study, primary canine adipose tissue-derived MSCs (PCAT-MSCs) were isolated from adipose tissue and were transfected with the SV40-T retrovirus resulting in a life-extended immortalized canine adipose tissue-derived MSCs (ICAT-MSCs). A comparison was made through the char

GeneticsMedicine
13
preprint|인용수 9·2019
Deep neural networks for emotion recognition combining audio and transcripts
Jaejin Cho, Raghavendra Pappagari, Purva Kulkarni, Jesús Villalba, Yishay Carmiel, Najim Dehak
arXiv (Cornell University)OA

In this paper, we propose to improve emotion recognition by combining acoustic information and conversation transcripts. On the one hand, an LSTM network was used to detect emotion from acoustic features like f0, shimmer, jitter, MFCC, etc. On the other hand, a multi-resolution CNN was used to detect emotion from word sequences. This CNN consists of several parallel convolutions with different kernel sizes to exploit contextual information at different levels. A temporal pooling layer aggregates

Experimental and Cognitive PsychologyPsychology
14
논문|인용수 9·2013
Comparison of the Ultrastructural and Immunophenotypic Characteristics of Human Umbilical Cord-derived Mesenchymal Stromal Cells and in Situ Cells in Wharton’s Jelly
Young-Joon Ryu, Hyang Sook Seol, Tae Jun Cho, Tae Jung Kwon, Se Jin Jang, Jaejin Cho
SJR Q3FWCI 0.9Ultrastructural Pathology

The umbilical cord contains mucinous connective tissue, called Wharton's jelly. It consists of stromal cells, collagen fibers, and amorphous ground substances composed of proteoglycan. Recently, these stromal cells have been redefined as a new cell therapy source, named human umbilical cord-derived mesenchymal stromal cells (hUCMSCs). However, there are few studies on the ultrastructural features and immune-phenotypic characteristics of isolated hUCMSCs and comparisons with the cells found in or

GeneticsMedicine
15
논문|인용수 8·2022
Non-contrastive self-supervised learning of utterance-level speech representations
Jaejin Cho, Raghavendra Pappagari, Piotr Żelasko, Laureano Moro-Velázquez, Jesús Villalba, Najim Dehak
FWCI 0.8Interspeech 2022
Artificial IntelligenceComputer Science

대표 연구 분야

Radiology, Nuclear Medicine and ImagingArtificial IntelligenceGeneticsMolecular BiologyBiomedical EngineeringPhysiology

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