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.
연구 현황
연구 성과 추이
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
주요 논문
15Sequence-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.
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
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
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
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.
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.
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.
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
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
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
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
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
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
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
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